{"id":713662,"date":"2021-01-11T18:09:26","date_gmt":"2021-01-12T02:09:26","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=713662"},"modified":"2025-08-06T11:52:03","modified_gmt":"2025-08-06T18:52:03","slug":"aaai-2021","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/aaai-2021\/","title":{"rendered":"Microsoft at AAAI 2021"},"content":{"rendered":"\n\n

Website:<\/strong> AAAI 2021 (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n

Microsoft is proud to be a silver sponsor of the 35th AAAI Conference on Artificial Intelligence (opens in new tab)<\/span><\/a>. Stop by our virtual booth to chat with our researchers and learn about open opportunities at Microsoft. See below for our live chat schedule.<\/p>\n

Live chat with us<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Thursday, February 4<\/strong><\/td>\n<\/tr>\n
Time (PST)<\/strong><\/td>\nName, Title<\/strong><\/td>\n<\/tr>\n
11:00\u201311:45<\/td>\nAmy Siebenthaler, Recruiting<\/td>\n<\/tr>\n
11:45\u201312:30<\/td>\nAmy Siebenthaler, Recruiting
\nTristan Naumann, ML & NLP for Health<\/td>\n<\/tr>\n
19:00\u201319:45<\/td>\nSoroush Mehri, Machine Learning<\/td>\n<\/tr>\n
Friday, February 5<\/strong><\/td>\n<\/tr>\n
Time (PST)<\/strong><\/td>\nName, Title<\/strong><\/td>\n<\/tr>\n
3:45\u20134:30<\/td>\nKrzysztof Maziarz, Generative Chemistry, GNNs<\/td>\n<\/tr>\n
10:00 \u201311:00<\/td>\nAmy Siebenthaler, Recruiting
\nLar Liden, NLP, Conversational AI<\/td>\n<\/tr>\n
11:00\u201311:45<\/td>\nAmy Siebenthaler, Recruiting<\/td>\n<\/tr>\n
11:45\u201312:30<\/td>\nTristan Naumann, ML & NLP for Health<\/td>\n<\/tr>\n
18:00\u201319:00<\/td>\nBesmira Nushi, Reliable & Robust ML, Human-AI Collaboration<\/td>\n<\/tr>\n
Saturday, February 6<\/strong><\/td>\n<\/tr>\n
Time (PST)<\/strong><\/td>\nName, Title<\/strong><\/td>\n<\/tr>\n
10:00\u201311:45<\/td>\nAmy Siebenthaler, Recruiting<\/td>\n<\/tr>\n
11:45\u201312:30<\/td>\nCammy Vasquez, Recruiting<\/td>\n<\/tr>\n
18:00\u201320:30<\/td>\nCammy Vasquez, Recruiting
\nJiayi Song, Recruiting
\nYun Chen, Recruiting<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Opens in a new tab<\/span><\/p>\n

All times are displayed in Pacific Time (UTC-08:00)<\/em><\/p>\n

Wednesday, February 3<\/h3>\n

8:30 \u2013 11:45 | Tutorial
\nResponsible AI in Industry: Practical Challenges and Lessons Learned<\/strong>
\nKrishnaram Kenthapadi, Ben Packer, Mehrnoosh Sameki<\/strong>, Nashlie Sephus<\/p>\n

\n

Thursday, February 4<\/h3>\n

12:45 \u2013 2:30 AM | Demonstration
\nIntegrating Pre-trained Model into Rule-based Dialogue Management<\/strong><\/a>
\nJun Quan<\/strong>, Meng Yang<\/strong>, Qiang Gan<\/strong>, Deyi Xiong, Yiming Liu<\/strong>, Yuchen Dong (opens in new tab)<\/span><\/a>, Fangxin Ouyang<\/strong>, Jun Tian (opens in new tab)<\/span><\/a>, Ruiling Deng<\/strong>, Yongzhi Li<\/strong>, Yang Yang<\/strong>, Daxin Jiang<\/a><\/p>\n

8:45 \u2013 10:30 AM | Demonstration
\nIntegrating Pre-trained Model into Rule-based Dialogue Management<\/strong><\/a>
\nJun Quan<\/strong>, Meng Yang<\/strong>, Qiang Gan<\/strong>, Deyi Xiong, Yiming Liu<\/strong>, Yuchen Dong (opens in new tab)<\/span><\/a>, Fangxin Ouyang<\/strong>, Jun Tian (opens in new tab)<\/span><\/a>, Ruiling Deng<\/strong>, Yongzhi Li<\/strong>, Yang Yang<\/strong>, Daxin Jiang<\/a><\/p>\n

8:45 \u2013 10:30 AM | Intelligent Robots \/ Vision for Robotics
\nLearning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency<\/strong>
\nSeokju Lee, Sunghoon Im, Stephen Lin<\/strong>, In So Kweon<\/p>\n

8:45 \u2013 10:30 AM | ML: Reinforcement Learning
\nSuccessor feature sets: generalizing successor representations across policies<\/strong>
\nKiant\u00e9 Brantley, Soroush Mehri<\/a>, Geoff Gordon<\/a><\/p>\n

8:45 \u2013 10:30 AM | NLP: Discourse \/ Dialog \/ Summarization
\nData Augmentation for Abstractive Query-Focused Multi-Document Summarization<\/strong>
\nRamakanth R Pasunuru, Asli Celikyilmaz<\/a>, Michel Galley<\/a>, Chenyan Xiong<\/a>, Yizhe Zhang<\/a>, Mohit Bansal, Jianfeng Gao<\/a><\/p>\n

8:45 \u2013 10:30 AM | NLP: Ethics
\nHow Linguistically Fair are Multilingual Pre-Trained Language Models?<\/strong><\/a>
\nMonojit Choudhury<\/a>, Amit Deshpande<\/a><\/p>\n

8:45 \u2013 10:30 AM | NLP: Information Extraction
\nDenoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model<\/strong>
\nHongyu Lin, Wenkai Zhang, Xianpei Han, Le Sun, Huidan Liu, Nicholas Yuan<\/strong>, Zhicheng Wei<\/p>\n

8:45 \u2013 10:30 AM | Philosophy and Ethics of AI
\nThe Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective<\/strong>
\nNaman Goel, Alfonso Amayuelas, Amit Deshpande<\/a>, Amit Sharma<\/a><\/p>\n

8:45 \u2013 10:30 AM | Philosophy and Ethics of AI
\nHow Does Data Augmentation Affect Privacy in Machine Learning?<\/strong>
\nDa Yu, Huishuai Zhang<\/a>, Wei Chen<\/a>, Jian Yin, Tie-Yan Liu<\/a><\/p>\n

8:45 \u2013 10:30 AM | Philosophy and Ethics of AI
\nIs the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork<\/strong><\/a>
\nGagan Bansal, Besmira Nushi<\/a>, Ece Kamar<\/a>, Eric Horvitz<\/a>, Daniel Weld<\/p>\n

8:45 \u2013 10:30 AM | Vision: Scene Analysis & Understanding
\nHolistic Multi-View Building Analysis in the Wild with Projection Pooling<\/strong>
\nZbigniew Bogdan Wojna, Krzysztof Maziarz<\/a>, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iason Kokkinos<\/p>\n

4:45 \u2013 6:30 PM | Demonstration
\nIntegrating Pre-trained Model into Rule-based Dialogue Management<\/strong><\/a>
\nJun Quan<\/strong>, Meng Yang<\/strong>, Qiang Gan<\/strong>, Deyi Xiong, Yiming Liu<\/strong>, Yuchen Dong (opens in new tab)<\/span><\/a>, Fangxin Ouyang<\/strong>, Jun Tian (opens in new tab)<\/span><\/a>, Ruiling Deng<\/strong>, Yongzhi Li<\/strong>, Yang Yang<\/strong>, Daxin Jiang<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Discourse \/ Dialog \/ Summarization
\nData Augmentation for Abstractive Query-Focused Multi-Document Summarization<\/strong>
\nRamakanth R Pasunuru, Asli Celikyilmaz<\/a>, Michel Galley<\/a>, Chenyan Xiong<\/a>, Yizhe Zhang<\/a>, Mohit Bansal, Jianfeng Gao<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Information Extraction
\nDenoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model<\/strong>
\nHongyu Lin, Wenkai Zhang, Xianpei Han, Le Sun, Huidan Liu, Nicholas Yuan<\/strong>, Zhicheng Wei<\/p>\n

4:45 \u2013 6:30 PM | ML: Reinforcement Learning
\nSuccessor feature sets: generalizing successor representations across policies<\/strong>
\nKiant\u00e9 Brantley, Soroush Mehri<\/a>, Geoff Gordon<\/a><\/p>\n

4:45 \u2013 6:30 PM | Philosophy and Ethics of AI
\nHow Does Data Augmentation Affect Privacy in Machine Learning?<\/strong>
\nDa Yu, Huishuai Zhang<\/a>, Wei Chen<\/a>, Jian Yin, Tie-Yan Liu<\/a><\/p>\n

4:45 \u2013 6:30 PM | Philosophy and Ethics of AI
\nIs the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork<\/strong><\/a>
\nGagan Bansal, Besmira Nushi<\/a>, Ece Kamar<\/a>, Eric Horvitz<\/a>, Daniel Weld<\/p>\n

4:45 \u2013 6:30 PM | Vision: Image and Video Retrieval
\nExploiting Sample Uncertainty for Domain Adaptive Person Re-Identification<\/strong>
\nKecheng Zheng, Cuiling Lan<\/a>, Wenjun Zeng<\/a>, Zhizheng Zhang, Zheng-Jun Zha<\/p>\n

4:45 \u2013 6:30 PM | Vision: Scene Analysis & Understanding
\nHolistic Multi-View Building Analysis in the Wild with Projection Pooling<\/strong>
\nZbigniew Bogdan Wojna, Krzysztof Maziarz<\/a>, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iason Kokkinos<\/p>\n

\n

Friday, February 5<\/h3>\n

12:45 \u2013 2:30 AM | Intelligent Robots \/ Vision for Robotics
\nLearning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency<\/strong>
\nSeokju Lee, Sunghoon Im, Stephen Lin<\/strong>, In So Kweon<\/p>\n

12:45 \u2013 2:30 AM | NLP: Ethics
\nHow Linguistically Fair are Multilingual Pre-Trained Language Models?<\/strong><\/a>
\nMonojit Choudhury<\/a>, Amit Deshpande<\/a><\/p>\n

12:45 \u2013 2:30 AM | Philosophy and Ethics of AI
\nThe Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective<\/strong>
\nNaman Goel, Alfonso Amayuelas, Amit Deshpande<\/a>, Amit Sharma<\/a><\/p>\n

12:45 \u2013 2:30 AM | Vision: Image and Video Retrieval
\nExploiting Sample Uncertainty for Domain Adaptive Person Re-Identification<\/strong>
\nKecheng Zheng, Cuiling Lan<\/a>, Wenjun Zeng<\/a>, Zhizheng Zhang, Zheng-Jun Zha<\/p>\n

8:45 \u2013 10:30 AM | Applications
\nUniversal Trading for Order Execution with Oracle Policy Distillation<\/strong>
\nYuchen Fang, Kan Ren<\/a>, Weiqing Liu<\/strong>, Dong Zhou<\/a>, Weinan Zhang, Jiang Bian<\/a>, Yong Yu, Tie-Yan Liu<\/a><\/p>\n

8:45 \u2013 10:30 AM | Fair Division
\nFair and Truthful Mechanisms for Dichotomous Valuations<\/strong>
\nMoshe Babaioff<\/a>, Tomer Ezra, Uriel Feige<\/p>\n

8:45 \u2013 10:30 AM | Game Theory and Economic Paradigms
\nEstimating alpha-Rank by Maximizing Information Gain<\/strong><\/a>
\nTabish Rashid, Cheng Zhang<\/a>, Kamil Ciosek<\/strong><\/p>\n

8:45 \u2013 10:30 AM | Heuristic and Greedy Search
\nNuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem<\/strong>
\nJiejiang Chen, Shaowei Cai, Shiwei Pan, Yiyuan Wang, Qingwei Lin<\/a>, Mengyu Zhao, Minghao Yin<\/p>\n

8:45 \u2013 10:30 AM | NLP: Generation
\nCopy That! Editing Sequences by Copying Spans<\/strong>
\nSheena L Panthaplackel, Miltiadis Allamanis<\/a>, Marc Brockschmidt<\/a><\/p>\n

8:45 \u2013 10:30 AM | NLP: Generation
\nA Controllable Model of Grounded Response Generation<\/strong>
\nZeqiu Wu, Michel Galley<\/a>, Chris Brockett<\/a>, Yizhe Zhang<\/a>, Xiang Gao<\/a>, Chris Quirk<\/a>, Rik Koncel-Kedziorski, Jianfeng Gao<\/a>, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan<\/a><\/p>\n

8:45 \u2013 10:30 AM | Search and Optimization
\nOpEvo: An Evolutionary Method for Tensor Operator Optimization<\/strong>
\nXiaotian Gao<\/strong>, Wei Cui<\/a>, Lintao Zhang<\/strong>, Mao Yang<\/a><\/p>\n

4:45 \u2013 6:30 PM | 3D Computer Vision
\nUnsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination<\/strong>
\nPeng-Shuai Wang<\/strong>, Yuqi Yang, Qianfang Zou, Zhirong Wu<\/a>, Yang Liu<\/a>, Xin Tong<\/a><\/p>\n

4:45 \u2013 6:30 PM | Applications
\nUniversal Trading for Order Execution with Oracle Policy Distillation<\/strong>
\nYuchen Fang, Kan Ren<\/a>, Weiqing Liu<\/strong>, Dong Zhou<\/a>, Weinan Zhang, Jiang Bian<\/a>, Yong Yu, Tie-Yan Liu<\/a><\/p>\n

4:45 \u2013 6:30 PM | Game Theory and Economic Paradigms
\nEstimating alpha-Rank by Maximizing Information Gain<\/strong><\/a>
\nTabish Rashid, Cheng Zhang<\/a>, Kamil Ciosek<\/strong><\/p>\n

4:45 \u2013 6:30 PM | ML: Bandits \/ RL \/ Imitation Learning
\nCombinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback<\/strong>
\nYihan Du, Yuko Kuroki, Wei Chen<\/strong><\/p>\n

4:45 \u2013 6:30 PM | ML: Unsupervised & Self-Supervised Learning
\nDistilling Localization for Self-Supervised Representation Learning<\/strong>
\nNanxuan Zhao, Zhirong Wu<\/a>, Rynson W.H. Lau, Stephen Lin<\/strong><\/p>\n

4:45 \u2013 6:30 PM | NLP: Conversational AI\/Dialog Systems
\nLearning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues<\/strong>
\nRuijian Xu, Chongyang Tao<\/strong>, Daxin Jiang<\/a>, Xueliang Zhao, Dongyan Zhao, Rui Yan<\/p>\n

4:45 \u2013 6:30 PM | NLP: Generation
\nCopy That! Editing Sequences by Copying Spans<\/strong>
\nSheena L Panthaplackel, Miltiadis Allamanis<\/a>, Marc Brockschmidt<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Information Extraction
\nA Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition<\/strong>
\nYongxiu Xu<\/strong>, Heyan Huang, Chong Feng, Yue Hu<\/p>\n

4:45 \u2013 6:30 PM | NLP: Information Extraction
\nA Controllable Model of Grounded Response Generation<\/strong>
\nZeqiu Wu, Michel Galley<\/a>, Chris Brockett<\/a>, Yizhe Zhang<\/a>, Xiang Gao<\/a>, Chris Quirk<\/a>, Rik Koncel-Kedziorski, Jianfeng Gao<\/a>, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan<\/a><\/p>\n

4:45 \u2013 6:30 PM | Search and Optimization
\nOpEvo: An Evolutionary Method for Tensor Operator Optimization<\/strong>
\nXiaotian Gao<\/strong>, Wei Cui<\/a>, Lintao Zhang<\/strong>, Mao Yang<\/a><\/p>\n

4:45 \u2013 6:30 PM | Speech & Signal Processing
\nInteractive Speech and Noise Modeling for Speech Enhancement<\/strong>
\nChengyu Zheng, Xiulian Peng<\/a>, Yuan Zhang, Sriram Srinivasan (opens in new tab)<\/span><\/a>, Yan Lu<\/a><\/p>\n

4:45 \u2013 6:30 PM | Speech & Signal Processing
\nUWSpeech: Speech to Speech Translation for Unwritten Languages<\/strong>
\nChen Zhang, Xu Tan<\/a>, Yi Ren, Tao Qin<\/a>, Kejun Zhang, Tieyan Liu<\/strong><\/p>\n

\n

Saturday, February 6<\/h3>\n

12:45 \u2013 2:30 AM | 3D Computer Vision
\nUnsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination<\/strong>
\nPeng-Shuai Wang<\/strong>, Yuqi Yang, Qianfang Zou, Zhirong Wu<\/a>, Yang Liu<\/a>, Xin Tong<\/a><\/p>\n

12:45 \u2013 2:30 AM | Fair Division
\nFair and Truthful Mechanisms for Dichotomous Valuations<\/strong>
\nMoshe Babaioff<\/a>, Tomer Ezra, Uriel Feige<\/p>\n

12:45 \u2013 2:30 AM | Heuristic and Greedy Search
\nNuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem<\/strong>
\nJiejiang Chen, Shaowei Cai, Shiwei Pan, Yiyuan Wang, Qingwei Lin<\/a>, Mengyu Zhao, Minghao Yin<\/p>\n

12:45 \u2013 2:30 AM | ML: Bandits \/ RL \/ Imitation Learning
\nCombinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback<\/strong>
\nYihan Du, Yuko Kuroki, Wei Chen<\/strong><\/p>\n

12:45 \u2013 2:30 AM | ML: Unsupervised & Self-Supervised Learning
\nDistilling Localization for Self-Supervised Representation Learning<\/strong>
\nNanxuan Zhao, Zhirong Wu<\/a>, Rynson W.H. Lau, Stephen Lin<\/strong><\/p>\n

12:45 \u2013 2:30 AM | NLP: Conversational AI\/Dialog Systems
\nLearning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues<\/strong>
\nRuijian Xu, Chongyang Tao<\/strong>, Daxin Jiang<\/a>, Xueliang Zhao, Dongyan Zhao, Rui Yan<\/p>\n

12:45 \u2013 2:30 AM | NLP: Information Extraction
\nA Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition<\/strong>
\nYongxiu Xu<\/strong>, Heyan Huang, Chong Feng, Yue Hu<\/p>\n

12:45 \u2013 2:30 AM | Speech & Signal Processing
\nInteractive Speech and Noise Modeling for Speech Enhancement<\/strong>
\nChengyu Zheng, Xiulian Peng<\/a>, Yuan Zhang, Sriram Srinivasan (opens in new tab)<\/span><\/a>, Yan Lu<\/a><\/p>\n

12:45 \u2013 2:30 AM | Speech & Signal Processing
\nUWSpeech: Speech to Speech Translation for Unwritten Languages<\/strong>
\nChen Zhang, Xu Tan<\/a>, Yi Ren, Tao Qin<\/a>, Kejun Zhang, Tieyan Liu<\/strong><\/p>\n

8:45 \u2013 10:30 AM | Applications
\nTowards Balanced Defect Prediction with Better Information Propagation<\/strong>
\nXianda Zheng, Yuan-Fang Li, Huan Gao<\/strong>, Yuncheng Hua, Guilin Qi<\/p>\n

8:45 \u2013 10:30 AM | Language and Vision
\nVIVO: Visual Vocabulary Pre-Training for Novel Object Captioning<\/strong>
\nXiaowei Hu<\/a>, Xi Yin<\/strong>, Kevin Lin<\/a>, Lei Zhang<\/a>, Jianfeng Gao<\/a>, Lijuan Wang<\/a>, Zicheng Liu<\/a><\/p>\n

8:45 \u2013 10:30 AM | ML: Learning Theory \/ Optimization
\nFrugal Optimization for Cost-related Hyperparameters<\/strong>
\nQingyun Wu<\/a>, Chi Wang<\/a>, Silu Huang<\/a><\/p>\n

8:45 \u2013 10:30 AM | ML: Neural Network Algorithms
\nLearning to Reweight with Deep Interactions<\/strong>
\nYang Fan, Yingce Xia<\/a>, Lijun Wu<\/a>, Shufang Xie<\/a>, Weiqing Liu (opens in new tab)<\/span><\/a>, Jiang Bian<\/a>, Tao Qin<\/a>, Xiangyang Li<\/p>\n

8:45 \u2013 10:30 AM | NLP: Information Extraction
\nRe-TACRED: Addressing Shortcomings of the TACRED Dataset<\/strong>
\nGeorge I Stoica, Emmanouil Antonios Platanios<\/strong>, Barnabas Poczos<\/p>\n

8:45 \u2013 10:30 AM | Vision: Computational Photography, Image & Video Synthesis
\nObject-Centric Image Generation from Layouts<\/strong><\/a>
\nTristan Sylvain, Pengchuan Zhang<\/a>, Yoshua Bengio, R Devon Hjelm<\/a>, Shikhar Sharma<\/a><\/p>\n

4:45 \u2013 6:30 PM | Applications
\nCorrelation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems<\/strong>
\nChuan Luo<\/strong>, Bo Qiao<\/a>, Wenqian Xing<\/strong>, Xin Chen<\/strong>, Pu Zhao<\/strong>, Chao Du<\/strong>, Randolph Yao<\/strong>, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan<\/strong>, Qingwei Lin<\/strong><\/p>\n

4:45 \u2013 6:30 PM | Applications
\nTowards Balanced Defect Prediction with Better Information Propagation<\/strong>
\nXianda Zheng, Yuan-Fang Li, Huan Gao<\/strong>, Yuncheng Hua, Guilin Qi<\/p>\n

4:45 \u2013 6:30 PM | Humans and AI
\nImproving the Performance-Compatibility Tradeoff with Personalized Objective Functions<\/strong>
\nJonathan Martinez, Kobi Gal, Ece Kamar<\/a>, Levi H. S. Lelis<\/p>\n

4:45 \u2013 6:30 PM | Language and Vision
\nVIVO: Visual Vocabulary Pre-Training for Novel Object Captioning<\/strong>
\nXiaowei Hu<\/a>, Xi Yin<\/strong>, Kevin Lin<\/a>, Lei Zhang<\/a>, Jianfeng Gao<\/a>, Lijuan Wang<\/a>, Zicheng Liu<\/a><\/p>\n

4:45 \u2013 6:30 PM | ML: Learning Theory \/ Optimization
\nFrugal Optimization for Cost-related Hyperparameters<\/strong>
\nQingyun Wu<\/a>, Chi Wang<\/a>, Silu Huang<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Conversational AI\/Dialog Systems
\nCo-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification<\/strong>
\nLibo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni<\/strong>, Ting Liu<\/p>\n

4:45 \u2013 6:30 PM | NLP: Information Extraction
\nRe-TACRED: Addressing Shortcomings of the TACRED Dataset<\/strong>
\nGeorge I Stoica, Emmanouil Antonios Platanios<\/strong>, Barnabas Poczos<\/p>\n

4:45 \u2013 6:30 PM | NLP: Learning & Optimization
\nSimpson’s Bias in NLP Training<\/strong>
\nFei Yuan, Longtu Zhang, Huang Bojun, Yaobo Liang<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Semantics
\nIterative Utterance Segmentation for Neural Semantic Parsing<\/strong><\/a>
\nYinuo Guo, Zeqi Lin<\/a>, Jian-Guang Lou<\/a>, Dongmei Zhang<\/a><\/p>\n

4:45 \u2013 6:30 PM | Vision: Object Detection & Categorization
\nVery Important Person Localization in Unconstrained Conditions: A New Benchmark<\/strong>
\nXiao Wang, Zheng Wang, Toshihiko Yamasaki, Wenjun Zeng<\/a><\/p>\n

\n

Sunday, February 7<\/h3>\n

12:45 \u2013 2:30 AM | Applications
\nCorrelation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems<\/strong>
\nChuan Luo<\/strong>, Bo Qiao<\/a>, Wenqian Xing<\/strong>, Xin Chen<\/strong>, Pu Zhao<\/strong>, Chao Du<\/strong>, Randolph Yao<\/strong>, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan<\/strong>, Qingwei Lin<\/strong><\/p>\n

12:45 \u2013 2:30 AM | Humans and AI
\nImproving the Performance-Compatibility Tradeoff with Personalized Objective Functions<\/strong>
\nJonathan Martinez, Kobi Gal, Ece Kamar<\/a>, Levi H. S. Lelis<\/p>\n

12:45 \u2013 2:30 AM | ML: Neural Network Algorithms
\nLearning to Reweight with Deep Interactions<\/strong>
\nYang Fan, Yingce Xia<\/a>, Lijun Wu<\/a>, Shufang Xie<\/a>, Weiqing Liu (opens in new tab)<\/span><\/a>, Jiang Bian<\/a>, Tao Qin<\/a>, Xiangyang Li<\/p>\n

12:45 \u2013 2:30 AM | NLP: Conversational AI\/Dialog Systems
\nCo-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification<\/strong>
\nLibo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni<\/strong>, Ting Liu<\/p>\n

12:45 \u2013 2:30 AM | NLP: Learning & Optimization
\nSimpson’s Bias in NLP Training<\/strong>
\nFei Yuan, Longtu Zhang, Huang Bojun, Yaobo Liang<\/a><\/p>\n

12:45 \u2013 2:30 AM | NLP: Semantics
\nIterative Utterance Segmentation for Neural Semantic Parsing<\/strong><\/a>
\nYinuo Guo, Zeqi Lin<\/a>, Jian-Guang Lou<\/a>, Dongmei Zhang<\/a><\/p>\n

12:45 \u2013 2:30 AM | Vision: Object Detection & Categorization
\nVery Important Person Localization in Unconstrained Conditions: A New Benchmark<\/strong>
\nXiao Wang, Zheng Wang, Toshihiko Yamasaki, Wenjun Zeng<\/a><\/p>\n

12:45 \u2013 2:30 AM | Vision: Computational Photography, Image & Video Synthesis
\nObject-Centric Image Generation from Layouts<\/strong><\/a>
\nTristan Sylvain, Pengchuan Zhang<\/a>, Yoshua Bengio, R Devon Hjelm<\/a>, Shikhar Sharma<\/a><\/p>\n

8:45 \u2013 10:30 AM | ML: Reinforcement Learning
\nReinforcement Learning with Trajectory Feedback<\/strong>
\nYonathan Efroni<\/a>, Nadav Merlis, Shie Mannor<\/p>\n

8:45 \u2013 10:30 AM | ML: Transfer\/Adaptation\/Multi-task\/Meta\/Automated Learning
\nMeta Label Correction for Noisy Label Learning<\/strong><\/a>
\nGuoqing Zheng<\/a>, Ahmed Awadallah<\/a>, Susan Dumais<\/a><\/p>\n

8:45 \u2013 10:30 AM | Neuro-Symbolic AI
\nSelf-Supervised Self Supervision by Combining Deep Learning and Probabilistic Logic<\/strong>
\nHunter Lang, Hoifung Poon<\/a><\/p>\n

8:45 \u2013 10:30 AM | NLP: Deep Learning
\nReinforced Multi-Teacher Selection for Knowledge Distillation<\/strong>
\nFei Yuan, Linjun Shou<\/a>, Jian Pei, Wutao Lin<\/strong>, Ming Gong<\/a>, Yan Fu, Daxin Jiang<\/a><\/p>\n

4:45 \u2013 6:30 PM | Data Mining & Knowledge Management
\nFairness-aware News Recommendation with Decomposed Adversarial Learning<\/strong>
\nChuhan Wu, Fangzhao Wu<\/a>, Xiting Wang<\/a>, Yongfeng Huang, Xing Xie<\/a><\/p>\n

4:45 \u2013 6:30 PM | ML: Active \/ Weakly-Supervised \/ Semi-Supervised Learning
\nRevisiting Iterative Back-Translation from the Perspective of Compositional Generalization<\/strong>
\nYinuo Guo, Hualei Zhu, Zeqi Lin<\/a>, Bei Chen<\/a>, Jian-Guang Lou<\/a>, Dongmei Zhang<\/a><\/p>\n

4:45 \u2013 6:30 PM | ML: Active \/ Weakly-Supervised \/ Semi-Supervised Learning
\nPULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector<\/strong>
\nChuan Luo<\/strong>, Pu Zhao<\/a>, Chen Chen (opens in new tab)<\/span><\/a>, Bo Qiao<\/a>, Chao Du<\/strong>, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan<\/strong>, Qingwei Lin<\/a><\/p>\n

4:45 \u2013 6:30 PM | ML: Matrix & Tensor Methods
\nScalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning<\/strong>
\nChao Chen, Dongsheng Li<\/a>, Junchi Yan, Hanchi Huang, Xiaokang Yang<\/p>\n

4:45 \u2013 6:30 PM | ML: Transfer\/Adaptation\/Multi-task\/Meta\/Automated Learning
\nMeta Label Correction for Noisy Label Learning<\/strong><\/a>
\nGuoqing Zheng<\/a>, Ahmed Awadallah<\/a>, Susan Dumais<\/a><\/p>\n

4:45 \u2013 6:30 PM | Neuro-Symbolic AI
\nSelf-Supervised Self Supervision by Combining Deep Learning and Probabilistic Logic<\/strong>
\nHunter Lang, Hoifung Poon<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Applications
\nAutomatic Song Writing with Pre-training and Alignment Constraint<\/strong>
\nZhonghao Sheng, Kaitao Song, Xu Tan<\/a>, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Conversational AI \/ Dialog Systems
\nOpen Domain Dialogue Generation with Latent Images<\/strong>
\nZe Yang, Wei Wu, Huang Hu<\/strong>, Can Xu<\/strong>, Wei Wang, Zhoujun Li<\/p>\n

4:45 \u2013 6:30 PM | NLP: Generation
\nCode Completion by Modeling Flattened Abstract Syntax Trees as Graphs<\/strong>
\nYanlin Wang<\/strong>, Hui Li<\/p>\n

4:45 \u2013 6:30 PM | NLP: Generation
\nTowards Topic-aware Slide Generation for Academic Papers with Unsupervised Mutual Learning<\/strong>
\nDa-Wei Li, Danqing Huang<\/a>, Tingting Ma, Chin-Yew Lin<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Language Models
\nSelf-Attention Attribution: Interpreting Information Interactions Inside Transformer<\/strong>
\nYaru Hao, Li Dong<\/a>, Furu Wei<\/a>, Ke Xu<\/p>\n

4:45 \u2013 6:30 PM | NLP: Language Models
\nFILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding<\/strong><\/a>
\nYuwei Fang<\/a>, Shuohang Wang<\/strong>, Zhe Gan<\/a>, Siqi Sun<\/a>, Jingjing Liu<\/a><\/p>\n

4:45 \u2013 6:30 PM | Vision: Video Understanding & Activity Analysis
\nWeakly-supervised Temporal Action Localization by Uncertainty Modeling<\/strong>
\nPilhyeon Lee, Jinglu Wang<\/a>, Yan Lu<\/a>, Hyeran Byun<\/p>\n

\n

Monday, February 8<\/h3>\n

Workshop
\n9th Dialog System Technology Challenge (DSTC-9)
\nMulti-domain Task-oriented Dialog Challenge II<\/strong>
\nBaolin Peng<\/a>, Jianfeng Gao<\/a>, Jinchao Li<\/a>, Lars Liden<\/a>, Minlie Huang, Qi Zhu, Runze Liang, Ryuichi Takanobu, Shahin Shayandeh<\/a>, Swadheen Shukla<\/a>, Zheng Zhang<\/a><\/p>\n

12:45 \u2013 2:30 AM | Data Mining & Knowledge Management
\nFairness-aware News Recommendation with Decomposed Adversarial Learning<\/strong>
\nChuhan Wu, Fangzhao Wu<\/a>, Xiting Wang<\/a>, Yongfeng Huang, Xing Xie<\/a><\/p>\n

12:45 \u2013 2:30 AM | ML: Active \/ Weakly-Supervised \/ Semi-Supervised Learning
\nRevisiting Iterative Back-Translation from the Perspective of Compositional Generalization<\/strong>
\nYinuo Guo, Hualei Zhu, Zeqi Lin<\/a>, Bei Chen<\/a>, Jian-Guang Lou<\/a>, Dongmei Zhang<\/a><\/p>\n

12:45 \u2013 2:30 AM | ML: Active \/ Weakly-Supervised \/ Semi-Supervised Learning
\nPULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector<\/strong>
\nChuan Luo<\/strong>, Pu Zhao<\/a>, Chen Chen (opens in new tab)<\/span><\/a>, Bo Qiao<\/a>, Chao Du<\/strong>, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan<\/strong>, Qingwei Lin<\/a><\/p>\n

12:45 \u2013 2:30 AM | ML: Matrix & Tensor Methods
\nScalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning<\/strong>
\nChao Chen, Dongsheng Li<\/a>, Junchi Yan, Hanchi Huang, Xiaokang Yang<\/p>\n

12:45 \u2013 2:30 AM | ML: Reinforcement Learning
\nReinforcement Learning with Trajectory Feedback<\/strong>
\nYonathan Efroni<\/a>, Nadav Merlis, Shie Mannor<\/p>\n

12:45 \u2013 2:30 AM | NLP: Applications
\nAutomatic Song Writing with Pre-training and Alignment Constraint<\/strong>
\nZhonghao Sheng, Kaitao Song, Xu Tan<\/a>, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin<\/a><\/p>\n

12:45 \u2013 2:30 AM | NLP: Conversational AI \/ Dialog Systems
\nOpen Domain Dialogue Generation with Latent Images<\/strong>
\nZe Yang, Wei Wu, Huang Hu<\/strong>, Can Xu<\/strong>, Wei Wang, Zhoujun Li<\/p>\n

12:45 \u2013 2:30 AM | NLP: Deep Learning
\nReinforced Multi-Teacher Selection for Knowledge Distillation<\/strong>
\nFei Yuan, Linjun Shou<\/a>, Jian Pei, Wutao Lin<\/strong>, Ming Gong<\/a>, Yan Fu, Daxin Jiang<\/a><\/p>\n

12:45 \u2013 2:30 AM | NLP: Generation
\nCode Completion by Modeling Flattened Abstract Syntax Trees as Graphs<\/strong>
\nYanlin Wang<\/strong>, Hui Li<\/p>\n

12:45 \u2013 2:30 AM | NLP: Generation
\nTowards Topic-aware Slide Generation for Academic Papers with Unsupervised Mutual Learning<\/strong>
\nDa-Wei Li, Danqing Huang<\/a>, Tingting Ma, Chin-Yew Lin<\/a><\/p>\n

12:45 \u2013 2:30 AM | NLP: Language Models
\nSelf-Attention Attribution: Interpreting Information Interactions Inside Transformer<\/strong>
\nYaru Hao, Li Dong<\/a>, Furu Wei<\/a>, Ke Xu<\/p>\n

12:45 \u2013 2:30 AM | NLP: Language Models
\nFILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding<\/strong><\/a>
\nYuwei Fang<\/a>, Shuohang Wang<\/strong>, Zhe Gan<\/a>, Siqi Sun<\/a>, Jingjing Liu<\/a><\/p>\n

12:45 \u2013 2:30 AM | Vision: Video Understanding & Activity Analysis
\nWeakly-supervised Temporal Action Localization by Uncertainty Modeling<\/strong>
\nPilhyeon Lee, Jinglu Wang<\/a>, Yan Lu<\/a>, Hyeran Byun<\/p>\n

\n

Tuesday, February 9<\/h3>\n

Workshop
\n9th Dialog System Technology Challenge (DSTC-9)
\nMulti-domain Task-oriented Dialog Challenge II<\/strong>
\nBaolin Peng<\/a>, Jianfeng Gao<\/a>, Jinchao Li<\/a>, Lars Liden<\/a>, Minlie Huang, Qi Zhu, Runze Liang, Ryuichi Takanobu, Shahin Shayandeh<\/a>, Swadheen Shukla<\/a>, Zheng Zhang<\/a><\/p>\n

Workshop
\nTrustworthy AI for Healthcare<\/strong>
\nLawrence Carin, Emily Fox, Russ Greiner, Joyce Ho, Tommi Jaakkola, Heng Ji, Sanmi Koyejo, Yan Liu, Sendhil Mullainathan, Susan Murphy, Tristan Naumann<\/a>, Lucila Ohno-Machado, Rajesh Ranganath, Jimeng Sun
\nInvited Speaker: Tristan Naumann<\/a><\/p>\n

Workshop
\nThe Fourth Workshop on Reasoning and Learning for Human-Machine Dialogues<\/strong> (opens in new tab)<\/span><\/a>
\nInvited Speaker: Ahmed Awadallah<\/a>Opens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Microsoft is proud to be a silver sponsor of the 35th AAAI Conference on Artificial Intelligence. Stop by our virtual booth to see demos of our research and learn about open opportunities at Microsoft.<\/p>\n","protected":false},"featured_media":627627,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2021-02-02","msr_enddate":"2021-02-09","msr_location":"Virtual","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[13556],"msr-region":[256048],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[243727,243724],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-713662","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-region-global","msr-event-type-conferences","msr-locale-en_us","msr-program-audience-faculty","msr-program-audience-students"],"msr_about":"\n\n

Website:<\/strong> AAAI 2021 (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n

Microsoft is proud to be a silver sponsor of the 35th AAAI Conference on Artificial Intelligence (opens in new tab)<\/span><\/a>. Stop by our virtual booth to chat with our researchers and learn about open opportunities at Microsoft. See below for our live chat schedule.<\/p>\n

Live chat with us<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Thursday, February 4<\/strong><\/td>\n<\/tr>\n
Time (PST)<\/strong><\/td>\nName, Title<\/strong><\/td>\n<\/tr>\n
11:00\u201311:45<\/td>\nAmy Siebenthaler, Recruiting<\/td>\n<\/tr>\n
11:45\u201312:30<\/td>\nAmy Siebenthaler, Recruiting
\nTristan Naumann, ML & NLP for Health<\/td>\n<\/tr>\n
19:00\u201319:45<\/td>\nSoroush Mehri, Machine Learning<\/td>\n<\/tr>\n
Friday, February 5<\/strong><\/td>\n<\/tr>\n
Time (PST)<\/strong><\/td>\nName, Title<\/strong><\/td>\n<\/tr>\n
3:45\u20134:30<\/td>\nKrzysztof Maziarz, Generative Chemistry, GNNs<\/td>\n<\/tr>\n
10:00 \u201311:00<\/td>\nAmy Siebenthaler, Recruiting
\nLar Liden, NLP, Conversational AI<\/td>\n<\/tr>\n
11:00\u201311:45<\/td>\nAmy Siebenthaler, Recruiting<\/td>\n<\/tr>\n
11:45\u201312:30<\/td>\nTristan Naumann, ML & NLP for Health<\/td>\n<\/tr>\n
18:00\u201319:00<\/td>\nBesmira Nushi, Reliable & Robust ML, Human-AI Collaboration<\/td>\n<\/tr>\n
Saturday, February 6<\/strong><\/td>\n<\/tr>\n
Time (PST)<\/strong><\/td>\nName, Title<\/strong><\/td>\n<\/tr>\n
10:00\u201311:45<\/td>\nAmy Siebenthaler, Recruiting<\/td>\n<\/tr>\n
11:45\u201312:30<\/td>\nCammy Vasquez, Recruiting<\/td>\n<\/tr>\n
18:00\u201320:30<\/td>\nCammy Vasquez, Recruiting
\nJiayi Song, Recruiting
\nYun Chen, Recruiting<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Opens in a new tab<\/span><\/p>\n

All times are displayed in Pacific Time (UTC-08:00)<\/em><\/p>\n

Wednesday, February 3<\/h3>\n

8:30 \u2013 11:45 | Tutorial
\nResponsible AI in Industry: Practical Challenges and Lessons Learned<\/strong>
\nKrishnaram Kenthapadi, Ben Packer, Mehrnoosh Sameki<\/strong>, Nashlie Sephus<\/p>\n

\n

Thursday, February 4<\/h3>\n

12:45 \u2013 2:30 AM | Demonstration
\nIntegrating Pre-trained Model into Rule-based Dialogue Management<\/strong><\/a>
\nJun Quan<\/strong>, Meng Yang<\/strong>, Qiang Gan<\/strong>, Deyi Xiong, Yiming Liu<\/strong>, Yuchen Dong<\/a>, Fangxin Ouyang<\/strong>, Jun Tian<\/a>, Ruiling Deng<\/strong>, Yongzhi Li<\/strong>, Yang Yang<\/strong>, Daxin Jiang<\/a><\/p>\n

8:45 \u2013 10:30 AM | Demonstration
\nIntegrating Pre-trained Model into Rule-based Dialogue Management<\/strong><\/a>
\nJun Quan<\/strong>, Meng Yang<\/strong>, Qiang Gan<\/strong>, Deyi Xiong, Yiming Liu<\/strong>, Yuchen Dong<\/a>, Fangxin Ouyang<\/strong>, Jun Tian<\/a>, Ruiling Deng<\/strong>, Yongzhi Li<\/strong>, Yang Yang<\/strong>, Daxin Jiang<\/a><\/p>\n

8:45 \u2013 10:30 AM | Intelligent Robots \/ Vision for Robotics
\nLearning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency<\/strong>
\nSeokju Lee, Sunghoon Im, Stephen Lin<\/strong>, In So Kweon<\/p>\n

8:45 \u2013 10:30 AM | ML: Reinforcement Learning
\nSuccessor feature sets: generalizing successor representations across policies<\/strong>
\nKiant\u00e9 Brantley, Soroush Mehri<\/a>, Geoff Gordon<\/a><\/p>\n

8:45 \u2013 10:30 AM | NLP: Discourse \/ Dialog \/ Summarization
\nData Augmentation for Abstractive Query-Focused Multi-Document Summarization<\/strong>
\nRamakanth R Pasunuru, Asli Celikyilmaz<\/a>, Michel Galley<\/a>, Chenyan Xiong<\/a>, Yizhe Zhang<\/a>, Mohit Bansal, Jianfeng Gao<\/a><\/p>\n

8:45 \u2013 10:30 AM | NLP: Ethics
\nHow Linguistically Fair are Multilingual Pre-Trained Language Models?<\/strong><\/a>
\nMonojit Choudhury<\/a>, Amit Deshpande<\/a><\/p>\n

8:45 \u2013 10:30 AM | NLP: Information Extraction
\nDenoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model<\/strong>
\nHongyu Lin, Wenkai Zhang, Xianpei Han, Le Sun, Huidan Liu, Nicholas Yuan<\/strong>, Zhicheng Wei<\/p>\n

8:45 \u2013 10:30 AM | Philosophy and Ethics of AI
\nThe Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective<\/strong>
\nNaman Goel, Alfonso Amayuelas, Amit Deshpande<\/a>, Amit Sharma<\/a><\/p>\n

8:45 \u2013 10:30 AM | Philosophy and Ethics of AI
\nHow Does Data Augmentation Affect Privacy in Machine Learning?<\/strong>
\nDa Yu, Huishuai Zhang<\/a>, Wei Chen<\/a>, Jian Yin, Tie-Yan Liu<\/a><\/p>\n

8:45 \u2013 10:30 AM | Philosophy and Ethics of AI
\nIs the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork<\/strong><\/a>
\nGagan Bansal, Besmira Nushi<\/a>, Ece Kamar<\/a>, Eric Horvitz<\/a>, Daniel Weld<\/p>\n

8:45 \u2013 10:30 AM | Vision: Scene Analysis & Understanding
\nHolistic Multi-View Building Analysis in the Wild with Projection Pooling<\/strong>
\nZbigniew Bogdan Wojna, Krzysztof Maziarz<\/a>, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iason Kokkinos<\/p>\n

4:45 \u2013 6:30 PM | Demonstration
\nIntegrating Pre-trained Model into Rule-based Dialogue Management<\/strong><\/a>
\nJun Quan<\/strong>, Meng Yang<\/strong>, Qiang Gan<\/strong>, Deyi Xiong, Yiming Liu<\/strong>, Yuchen Dong<\/a>, Fangxin Ouyang<\/strong>, Jun Tian<\/a>, Ruiling Deng<\/strong>, Yongzhi Li<\/strong>, Yang Yang<\/strong>, Daxin Jiang<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Discourse \/ Dialog \/ Summarization
\nData Augmentation for Abstractive Query-Focused Multi-Document Summarization<\/strong>
\nRamakanth R Pasunuru, Asli Celikyilmaz<\/a>, Michel Galley<\/a>, Chenyan Xiong<\/a>, Yizhe Zhang<\/a>, Mohit Bansal, Jianfeng Gao<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Information Extraction
\nDenoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model<\/strong>
\nHongyu Lin, Wenkai Zhang, Xianpei Han, Le Sun, Huidan Liu, Nicholas Yuan<\/strong>, Zhicheng Wei<\/p>\n

4:45 \u2013 6:30 PM | ML: Reinforcement Learning
\nSuccessor feature sets: generalizing successor representations across policies<\/strong>
\nKiant\u00e9 Brantley, Soroush Mehri<\/a>, Geoff Gordon<\/a><\/p>\n

4:45 \u2013 6:30 PM | Philosophy and Ethics of AI
\nHow Does Data Augmentation Affect Privacy in Machine Learning?<\/strong>
\nDa Yu, Huishuai Zhang<\/a>, Wei Chen<\/a>, Jian Yin, Tie-Yan Liu<\/a><\/p>\n

4:45 \u2013 6:30 PM | Philosophy and Ethics of AI
\nIs the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork<\/strong><\/a>
\nGagan Bansal, Besmira Nushi<\/a>, Ece Kamar<\/a>, Eric Horvitz<\/a>, Daniel Weld<\/p>\n

4:45 \u2013 6:30 PM | Vision: Image and Video Retrieval
\nExploiting Sample Uncertainty for Domain Adaptive Person Re-Identification<\/strong>
\nKecheng Zheng, Cuiling Lan<\/a>, Wenjun Zeng<\/a>, Zhizheng Zhang, Zheng-Jun Zha<\/p>\n

4:45 \u2013 6:30 PM | Vision: Scene Analysis & Understanding
\nHolistic Multi-View Building Analysis in the Wild with Projection Pooling<\/strong>
\nZbigniew Bogdan Wojna, Krzysztof Maziarz<\/a>, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iason Kokkinos<\/p>\n

\n

Friday, February 5<\/h3>\n

12:45 \u2013 2:30 AM | Intelligent Robots \/ Vision for Robotics
\nLearning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency<\/strong>
\nSeokju Lee, Sunghoon Im, Stephen Lin<\/strong>, In So Kweon<\/p>\n

12:45 \u2013 2:30 AM | NLP: Ethics
\nHow Linguistically Fair are Multilingual Pre-Trained Language Models?<\/strong><\/a>
\nMonojit Choudhury<\/a>, Amit Deshpande<\/a><\/p>\n

12:45 \u2013 2:30 AM | Philosophy and Ethics of AI
\nThe Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective<\/strong>
\nNaman Goel, Alfonso Amayuelas, Amit Deshpande<\/a>, Amit Sharma<\/a><\/p>\n

12:45 \u2013 2:30 AM | Vision: Image and Video Retrieval
\nExploiting Sample Uncertainty for Domain Adaptive Person Re-Identification<\/strong>
\nKecheng Zheng, Cuiling Lan<\/a>, Wenjun Zeng<\/a>, Zhizheng Zhang, Zheng-Jun Zha<\/p>\n

8:45 \u2013 10:30 AM | Applications
\nUniversal Trading for Order Execution with Oracle Policy Distillation<\/strong>
\nYuchen Fang, Kan Ren<\/a>, Weiqing Liu<\/strong>, Dong Zhou<\/a>, Weinan Zhang, Jiang Bian<\/a>, Yong Yu, Tie-Yan Liu<\/a><\/p>\n

8:45 \u2013 10:30 AM | Fair Division
\nFair and Truthful Mechanisms for Dichotomous Valuations<\/strong>
\nMoshe Babaioff<\/a>, Tomer Ezra, Uriel Feige<\/p>\n

8:45 \u2013 10:30 AM | Game Theory and Economic Paradigms
\nEstimating alpha-Rank by Maximizing Information Gain<\/strong><\/a>
\nTabish Rashid, Cheng Zhang<\/a>, Kamil Ciosek<\/strong><\/p>\n

8:45 \u2013 10:30 AM | Heuristic and Greedy Search
\nNuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem<\/strong>
\nJiejiang Chen, Shaowei Cai, Shiwei Pan, Yiyuan Wang, Qingwei Lin<\/a>, Mengyu Zhao, Minghao Yin<\/p>\n

8:45 \u2013 10:30 AM | NLP: Generation
\nCopy That! Editing Sequences by Copying Spans<\/strong>
\nSheena L Panthaplackel, Miltiadis Allamanis<\/a>, Marc Brockschmidt<\/a><\/p>\n

8:45 \u2013 10:30 AM | NLP: Generation
\nA Controllable Model of Grounded Response Generation<\/strong>
\nZeqiu Wu, Michel Galley<\/a>, Chris Brockett<\/a>, Yizhe Zhang<\/a>, Xiang Gao<\/a>, Chris Quirk<\/a>, Rik Koncel-Kedziorski, Jianfeng Gao<\/a>, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan<\/a><\/p>\n

8:45 \u2013 10:30 AM | Search and Optimization
\nOpEvo: An Evolutionary Method for Tensor Operator Optimization<\/strong>
\nXiaotian Gao<\/strong>, Wei Cui<\/a>, Lintao Zhang<\/strong>, Mao Yang<\/a><\/p>\n

4:45 \u2013 6:30 PM | 3D Computer Vision
\nUnsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination<\/strong>
\nPeng-Shuai Wang<\/strong>, Yuqi Yang, Qianfang Zou, Zhirong Wu<\/a>, Yang Liu<\/a>, Xin Tong<\/a><\/p>\n

4:45 \u2013 6:30 PM | Applications
\nUniversal Trading for Order Execution with Oracle Policy Distillation<\/strong>
\nYuchen Fang, Kan Ren<\/a>, Weiqing Liu<\/strong>, Dong Zhou<\/a>, Weinan Zhang, Jiang Bian<\/a>, Yong Yu, Tie-Yan Liu<\/a><\/p>\n

4:45 \u2013 6:30 PM | Game Theory and Economic Paradigms
\nEstimating alpha-Rank by Maximizing Information Gain<\/strong><\/a>
\nTabish Rashid, Cheng Zhang<\/a>, Kamil Ciosek<\/strong><\/p>\n

4:45 \u2013 6:30 PM | ML: Bandits \/ RL \/ Imitation Learning
\nCombinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback<\/strong>
\nYihan Du, Yuko Kuroki, Wei Chen<\/strong><\/p>\n

4:45 \u2013 6:30 PM | ML: Unsupervised & Self-Supervised Learning
\nDistilling Localization for Self-Supervised Representation Learning<\/strong>
\nNanxuan Zhao, Zhirong Wu<\/a>, Rynson W.H. Lau, Stephen Lin<\/strong><\/p>\n

4:45 \u2013 6:30 PM | NLP: Conversational AI\/Dialog Systems
\nLearning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues<\/strong>
\nRuijian Xu, Chongyang Tao<\/strong>, Daxin Jiang<\/a>, Xueliang Zhao, Dongyan Zhao, Rui Yan<\/p>\n

4:45 \u2013 6:30 PM | NLP: Generation
\nCopy That! Editing Sequences by Copying Spans<\/strong>
\nSheena L Panthaplackel, Miltiadis Allamanis<\/a>, Marc Brockschmidt<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Information Extraction
\nA Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition<\/strong>
\nYongxiu Xu<\/strong>, Heyan Huang, Chong Feng, Yue Hu<\/p>\n

4:45 \u2013 6:30 PM | NLP: Information Extraction
\nA Controllable Model of Grounded Response Generation<\/strong>
\nZeqiu Wu, Michel Galley<\/a>, Chris Brockett<\/a>, Yizhe Zhang<\/a>, Xiang Gao<\/a>, Chris Quirk<\/a>, Rik Koncel-Kedziorski, Jianfeng Gao<\/a>, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan<\/a><\/p>\n

4:45 \u2013 6:30 PM | Search and Optimization
\nOpEvo: An Evolutionary Method for Tensor Operator Optimization<\/strong>
\nXiaotian Gao<\/strong>, Wei Cui<\/a>, Lintao Zhang<\/strong>, Mao Yang<\/a><\/p>\n

4:45 \u2013 6:30 PM | Speech & Signal Processing
\nInteractive Speech and Noise Modeling for Speech Enhancement<\/strong>
\nChengyu Zheng, Xiulian Peng<\/a>, Yuan Zhang, Sriram Srinivasan<\/a>, Yan Lu<\/a><\/p>\n

4:45 \u2013 6:30 PM | Speech & Signal Processing
\nUWSpeech: Speech to Speech Translation for Unwritten Languages<\/strong>
\nChen Zhang, Xu Tan<\/a>, Yi Ren, Tao Qin<\/a>, Kejun Zhang, Tieyan Liu<\/strong><\/p>\n

\n

Saturday, February 6<\/h3>\n

12:45 \u2013 2:30 AM | 3D Computer Vision
\nUnsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination<\/strong>
\nPeng-Shuai Wang<\/strong>, Yuqi Yang, Qianfang Zou, Zhirong Wu<\/a>, Yang Liu<\/a>, Xin Tong<\/a><\/p>\n

12:45 \u2013 2:30 AM | Fair Division
\nFair and Truthful Mechanisms for Dichotomous Valuations<\/strong>
\nMoshe Babaioff<\/a>, Tomer Ezra, Uriel Feige<\/p>\n

12:45 \u2013 2:30 AM | Heuristic and Greedy Search
\nNuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem<\/strong>
\nJiejiang Chen, Shaowei Cai, Shiwei Pan, Yiyuan Wang, Qingwei Lin<\/a>, Mengyu Zhao, Minghao Yin<\/p>\n

12:45 \u2013 2:30 AM | ML: Bandits \/ RL \/ Imitation Learning
\nCombinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback<\/strong>
\nYihan Du, Yuko Kuroki, Wei Chen<\/strong><\/p>\n

12:45 \u2013 2:30 AM | ML: Unsupervised & Self-Supervised Learning
\nDistilling Localization for Self-Supervised Representation Learning<\/strong>
\nNanxuan Zhao, Zhirong Wu<\/a>, Rynson W.H. Lau, Stephen Lin<\/strong><\/p>\n

12:45 \u2013 2:30 AM | NLP: Conversational AI\/Dialog Systems
\nLearning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues<\/strong>
\nRuijian Xu, Chongyang Tao<\/strong>, Daxin Jiang<\/a>, Xueliang Zhao, Dongyan Zhao, Rui Yan<\/p>\n

12:45 \u2013 2:30 AM | NLP: Information Extraction
\nA Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition<\/strong>
\nYongxiu Xu<\/strong>, Heyan Huang, Chong Feng, Yue Hu<\/p>\n

12:45 \u2013 2:30 AM | Speech & Signal Processing
\nInteractive Speech and Noise Modeling for Speech Enhancement<\/strong>
\nChengyu Zheng, Xiulian Peng<\/a>, Yuan Zhang, Sriram Srinivasan<\/a>, Yan Lu<\/a><\/p>\n

12:45 \u2013 2:30 AM | Speech & Signal Processing
\nUWSpeech: Speech to Speech Translation for Unwritten Languages<\/strong>
\nChen Zhang, Xu Tan<\/a>, Yi Ren, Tao Qin<\/a>, Kejun Zhang, Tieyan Liu<\/strong><\/p>\n

8:45 \u2013 10:30 AM | Applications
\nTowards Balanced Defect Prediction with Better Information Propagation<\/strong>
\nXianda Zheng, Yuan-Fang Li, Huan Gao<\/strong>, Yuncheng Hua, Guilin Qi<\/p>\n

8:45 \u2013 10:30 AM | Language and Vision
\nVIVO: Visual Vocabulary Pre-Training for Novel Object Captioning<\/strong>
\nXiaowei Hu<\/a>, Xi Yin<\/strong>, Kevin Lin<\/a>, Lei Zhang<\/a>, Jianfeng Gao<\/a>, Lijuan Wang<\/a>, Zicheng Liu<\/a><\/p>\n

8:45 \u2013 10:30 AM | ML: Learning Theory \/ Optimization
\nFrugal Optimization for Cost-related Hyperparameters<\/strong>
\nQingyun Wu<\/a>, Chi Wang<\/a>, Silu Huang<\/a><\/p>\n

8:45 \u2013 10:30 AM | ML: Neural Network Algorithms
\nLearning to Reweight with Deep Interactions<\/strong>
\nYang Fan, Yingce Xia<\/a>, Lijun Wu<\/a>, Shufang Xie<\/a>, Weiqing Liu<\/a>, Jiang Bian<\/a>, Tao Qin<\/a>, Xiangyang Li<\/p>\n

8:45 \u2013 10:30 AM | NLP: Information Extraction
\nRe-TACRED: Addressing Shortcomings of the TACRED Dataset<\/strong>
\nGeorge I Stoica, Emmanouil Antonios Platanios<\/strong>, Barnabas Poczos<\/p>\n

8:45 \u2013 10:30 AM | Vision: Computational Photography, Image & Video Synthesis
\nObject-Centric Image Generation from Layouts<\/strong><\/a>
\nTristan Sylvain, Pengchuan Zhang<\/a>, Yoshua Bengio, R Devon Hjelm<\/a>, Shikhar Sharma<\/a><\/p>\n

4:45 \u2013 6:30 PM | Applications
\nCorrelation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems<\/strong>
\nChuan Luo<\/strong>, Bo Qiao<\/a>, Wenqian Xing<\/strong>, Xin Chen<\/strong>, Pu Zhao<\/strong>, Chao Du<\/strong>, Randolph Yao<\/strong>, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan<\/strong>, Qingwei Lin<\/strong><\/p>\n

4:45 \u2013 6:30 PM | Applications
\nTowards Balanced Defect Prediction with Better Information Propagation<\/strong>
\nXianda Zheng, Yuan-Fang Li, Huan Gao<\/strong>, Yuncheng Hua, Guilin Qi<\/p>\n

4:45 \u2013 6:30 PM | Humans and AI
\nImproving the Performance-Compatibility Tradeoff with Personalized Objective Functions<\/strong>
\nJonathan Martinez, Kobi Gal, Ece Kamar<\/a>, Levi H. S. Lelis<\/p>\n

4:45 \u2013 6:30 PM | Language and Vision
\nVIVO: Visual Vocabulary Pre-Training for Novel Object Captioning<\/strong>
\nXiaowei Hu<\/a>, Xi Yin<\/strong>, Kevin Lin<\/a>, Lei Zhang<\/a>, Jianfeng Gao<\/a>, Lijuan Wang<\/a>, Zicheng Liu<\/a><\/p>\n

4:45 \u2013 6:30 PM | ML: Learning Theory \/ Optimization
\nFrugal Optimization for Cost-related Hyperparameters<\/strong>
\nQingyun Wu<\/a>, Chi Wang<\/a>, Silu Huang<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Conversational AI\/Dialog Systems
\nCo-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification<\/strong>
\nLibo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni<\/strong>, Ting Liu<\/p>\n

4:45 \u2013 6:30 PM | NLP: Information Extraction
\nRe-TACRED: Addressing Shortcomings of the TACRED Dataset<\/strong>
\nGeorge I Stoica, Emmanouil Antonios Platanios<\/strong>, Barnabas Poczos<\/p>\n

4:45 \u2013 6:30 PM | NLP: Learning & Optimization
\nSimpson’s Bias in NLP Training<\/strong>
\nFei Yuan, Longtu Zhang, Huang Bojun, Yaobo Liang<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Semantics
\nIterative Utterance Segmentation for Neural Semantic Parsing<\/strong><\/a>
\nYinuo Guo, Zeqi Lin<\/a>, Jian-Guang Lou<\/a>, Dongmei Zhang<\/a><\/p>\n

4:45 \u2013 6:30 PM | Vision: Object Detection & Categorization
\nVery Important Person Localization in Unconstrained Conditions: A New Benchmark<\/strong>
\nXiao Wang, Zheng Wang, Toshihiko Yamasaki, Wenjun Zeng<\/a><\/p>\n

\n

Sunday, February 7<\/h3>\n

12:45 \u2013 2:30 AM | Applications
\nCorrelation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems<\/strong>
\nChuan Luo<\/strong>, Bo Qiao<\/a>, Wenqian Xing<\/strong>, Xin Chen<\/strong>, Pu Zhao<\/strong>, Chao Du<\/strong>, Randolph Yao<\/strong>, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan<\/strong>, Qingwei Lin<\/strong><\/p>\n

12:45 \u2013 2:30 AM | Humans and AI
\nImproving the Performance-Compatibility Tradeoff with Personalized Objective Functions<\/strong>
\nJonathan Martinez, Kobi Gal, Ece Kamar<\/a>, Levi H. S. Lelis<\/p>\n

12:45 \u2013 2:30 AM | ML: Neural Network Algorithms
\nLearning to Reweight with Deep Interactions<\/strong>
\nYang Fan, Yingce Xia<\/a>, Lijun Wu<\/a>, Shufang Xie<\/a>, Weiqing Liu<\/a>, Jiang Bian<\/a>, Tao Qin<\/a>, Xiangyang Li<\/p>\n

12:45 \u2013 2:30 AM | NLP: Conversational AI\/Dialog Systems
\nCo-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification<\/strong>
\nLibo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni<\/strong>, Ting Liu<\/p>\n

12:45 \u2013 2:30 AM | NLP: Learning & Optimization
\nSimpson’s Bias in NLP Training<\/strong>
\nFei Yuan, Longtu Zhang, Huang Bojun, Yaobo Liang<\/a><\/p>\n

12:45 \u2013 2:30 AM | NLP: Semantics
\nIterative Utterance Segmentation for Neural Semantic Parsing<\/strong><\/a>
\nYinuo Guo, Zeqi Lin<\/a>, Jian-Guang Lou<\/a>, Dongmei Zhang<\/a><\/p>\n

12:45 \u2013 2:30 AM | Vision: Object Detection & Categorization
\nVery Important Person Localization in Unconstrained Conditions: A New Benchmark<\/strong>
\nXiao Wang, Zheng Wang, Toshihiko Yamasaki, Wenjun Zeng<\/a><\/p>\n

12:45 \u2013 2:30 AM | Vision: Computational Photography, Image & Video Synthesis
\nObject-Centric Image Generation from Layouts<\/strong><\/a>
\nTristan Sylvain, Pengchuan Zhang<\/a>, Yoshua Bengio, R Devon Hjelm<\/a>, Shikhar Sharma<\/a><\/p>\n

8:45 \u2013 10:30 AM | ML: Reinforcement Learning
\nReinforcement Learning with Trajectory Feedback<\/strong>
\nYonathan Efroni<\/a>, Nadav Merlis, Shie Mannor<\/p>\n

8:45 \u2013 10:30 AM | ML: Transfer\/Adaptation\/Multi-task\/Meta\/Automated Learning
\nMeta Label Correction for Noisy Label Learning<\/strong><\/a>
\nGuoqing Zheng<\/a>, Ahmed Awadallah<\/a>, Susan Dumais<\/a><\/p>\n

8:45 \u2013 10:30 AM | Neuro-Symbolic AI
\nSelf-Supervised Self Supervision by Combining Deep Learning and Probabilistic Logic<\/strong>
\nHunter Lang, Hoifung Poon<\/a><\/p>\n

8:45 \u2013 10:30 AM | NLP: Deep Learning
\nReinforced Multi-Teacher Selection for Knowledge Distillation<\/strong>
\nFei Yuan, Linjun Shou<\/a>, Jian Pei, Wutao Lin<\/strong>, Ming Gong<\/a>, Yan Fu, Daxin Jiang<\/a><\/p>\n

4:45 \u2013 6:30 PM | Data Mining & Knowledge Management
\nFairness-aware News Recommendation with Decomposed Adversarial Learning<\/strong>
\nChuhan Wu, Fangzhao Wu<\/a>, Xiting Wang<\/a>, Yongfeng Huang, Xing Xie<\/a><\/p>\n

4:45 \u2013 6:30 PM | ML: Active \/ Weakly-Supervised \/ Semi-Supervised Learning
\nRevisiting Iterative Back-Translation from the Perspective of Compositional Generalization<\/strong>
\nYinuo Guo, Hualei Zhu, Zeqi Lin<\/a>, Bei Chen<\/a>, Jian-Guang Lou<\/a>, Dongmei Zhang<\/a><\/p>\n

4:45 \u2013 6:30 PM | ML: Active \/ Weakly-Supervised \/ Semi-Supervised Learning
\nPULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector<\/strong>
\nChuan Luo<\/strong>, Pu Zhao<\/a>, Chen Chen<\/a>, Bo Qiao<\/a>, Chao Du<\/strong>, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan<\/strong>, Qingwei Lin<\/a><\/p>\n

4:45 \u2013 6:30 PM | ML: Matrix & Tensor Methods
\nScalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning<\/strong>
\nChao Chen, Dongsheng Li<\/a>, Junchi Yan, Hanchi Huang, Xiaokang Yang<\/p>\n

4:45 \u2013 6:30 PM | ML: Transfer\/Adaptation\/Multi-task\/Meta\/Automated Learning
\nMeta Label Correction for Noisy Label Learning<\/strong><\/a>
\nGuoqing Zheng<\/a>, Ahmed Awadallah<\/a>, Susan Dumais<\/a><\/p>\n

4:45 \u2013 6:30 PM | Neuro-Symbolic AI
\nSelf-Supervised Self Supervision by Combining Deep Learning and Probabilistic Logic<\/strong>
\nHunter Lang, Hoifung Poon<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Applications
\nAutomatic Song Writing with Pre-training and Alignment Constraint<\/strong>
\nZhonghao Sheng, Kaitao Song, Xu Tan<\/a>, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Conversational AI \/ Dialog Systems
\nOpen Domain Dialogue Generation with Latent Images<\/strong>
\nZe Yang, Wei Wu, Huang Hu<\/strong>, Can Xu<\/strong>, Wei Wang, Zhoujun Li<\/p>\n

4:45 \u2013 6:30 PM | NLP: Generation
\nCode Completion by Modeling Flattened Abstract Syntax Trees as Graphs<\/strong>
\nYanlin Wang<\/strong>, Hui Li<\/p>\n

4:45 \u2013 6:30 PM | NLP: Generation
\nTowards Topic-aware Slide Generation for Academic Papers with Unsupervised Mutual Learning<\/strong>
\nDa-Wei Li, Danqing Huang<\/a>, Tingting Ma, Chin-Yew Lin<\/a><\/p>\n

4:45 \u2013 6:30 PM | NLP: Language Models
\nSelf-Attention Attribution: Interpreting Information Interactions Inside Transformer<\/strong>
\nYaru Hao, Li Dong<\/a>, Furu Wei<\/a>, Ke Xu<\/p>\n

4:45 \u2013 6:30 PM | NLP: Language Models
\nFILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding<\/strong><\/a>
\nYuwei Fang<\/a>, Shuohang Wang<\/strong>, Zhe Gan<\/a>, Siqi Sun<\/a>, Jingjing Liu<\/a><\/p>\n

4:45 \u2013 6:30 PM | Vision: Video Understanding & Activity Analysis
\nWeakly-supervised Temporal Action Localization by Uncertainty Modeling<\/strong>
\nPilhyeon Lee, Jinglu Wang<\/a>, Yan Lu<\/a>, Hyeran Byun<\/p>\n

\n

Monday, February 8<\/h3>\n

Workshop
\n9th Dialog System Technology Challenge (DSTC-9)
\nMulti-domain Task-oriented Dialog Challenge II<\/strong>
\nBaolin Peng<\/a>, Jianfeng Gao<\/a>, Jinchao Li<\/a>, Lars Liden<\/a>, Minlie Huang, Qi Zhu, Runze Liang, Ryuichi Takanobu, Shahin Shayandeh<\/a>, Swadheen Shukla<\/a>, Zheng Zhang<\/a><\/p>\n

12:45 \u2013 2:30 AM | Data Mining & Knowledge Management
\nFairness-aware News Recommendation with Decomposed Adversarial Learning<\/strong>
\nChuhan Wu, Fangzhao Wu<\/a>, Xiting Wang<\/a>, Yongfeng Huang, Xing Xie<\/a><\/p>\n

12:45 \u2013 2:30 AM | ML: Active \/ Weakly-Supervised \/ Semi-Supervised Learning
\nRevisiting Iterative Back-Translation from the Perspective of Compositional Generalization<\/strong>
\nYinuo Guo, Hualei Zhu, Zeqi Lin<\/a>, Bei Chen<\/a>, Jian-Guang Lou<\/a>, Dongmei Zhang<\/a><\/p>\n

12:45 \u2013 2:30 AM | ML: Active \/ Weakly-Supervised \/ Semi-Supervised Learning
\nPULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector<\/strong>
\nChuan Luo<\/strong>, Pu Zhao<\/a>, Chen Chen<\/a>, Bo Qiao<\/a>, Chao Du<\/strong>, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan<\/strong>, Qingwei Lin<\/a><\/p>\n

12:45 \u2013 2:30 AM | ML: Matrix & Tensor Methods
\nScalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning<\/strong>
\nChao Chen, Dongsheng Li<\/a>, Junchi Yan, Hanchi Huang, Xiaokang Yang<\/p>\n

12:45 \u2013 2:30 AM | ML: Reinforcement Learning
\nReinforcement Learning with Trajectory Feedback<\/strong>
\nYonathan Efroni<\/a>, Nadav Merlis, Shie Mannor<\/p>\n

12:45 \u2013 2:30 AM | NLP: Applications
\nAutomatic Song Writing with Pre-training and Alignment Constraint<\/strong>
\nZhonghao Sheng, Kaitao Song, Xu Tan<\/a>, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin<\/a><\/p>\n

12:45 \u2013 2:30 AM | NLP: Conversational AI \/ Dialog Systems
\nOpen Domain Dialogue Generation with Latent Images<\/strong>
\nZe Yang, Wei Wu, Huang Hu<\/strong>, Can Xu<\/strong>, Wei Wang, Zhoujun Li<\/p>\n

12:45 \u2013 2:30 AM | NLP: Deep Learning
\nReinforced Multi-Teacher Selection for Knowledge Distillation<\/strong>
\nFei Yuan, Linjun Shou<\/a>, Jian Pei, Wutao Lin<\/strong>, Ming Gong<\/a>, Yan Fu, Daxin Jiang<\/a><\/p>\n

12:45 \u2013 2:30 AM | NLP: Generation
\nCode Completion by Modeling Flattened Abstract Syntax Trees as Graphs<\/strong>
\nYanlin Wang<\/strong>, Hui Li<\/p>\n

12:45 \u2013 2:30 AM | NLP: Generation
\nTowards Topic-aware Slide Generation for Academic Papers with Unsupervised Mutual Learning<\/strong>
\nDa-Wei Li, Danqing Huang<\/a>, Tingting Ma, Chin-Yew Lin<\/a><\/p>\n

12:45 \u2013 2:30 AM | NLP: Language Models
\nSelf-Attention Attribution: Interpreting Information Interactions Inside Transformer<\/strong>
\nYaru Hao, Li Dong<\/a>, Furu Wei<\/a>, Ke Xu<\/p>\n

12:45 \u2013 2:30 AM | NLP: Language Models
\nFILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding<\/strong><\/a>
\nYuwei Fang<\/a>, Shuohang Wang<\/strong>, Zhe Gan<\/a>, Siqi Sun<\/a>, Jingjing Liu<\/a><\/p>\n

12:45 \u2013 2:30 AM | Vision: Video Understanding & Activity Analysis
\nWeakly-supervised Temporal Action Localization by Uncertainty Modeling<\/strong>
\nPilhyeon Lee, Jinglu Wang<\/a>, Yan Lu<\/a>, Hyeran Byun<\/p>\n

\n

Tuesday, February 9<\/h3>\n

Workshop
\n9th Dialog System Technology Challenge (DSTC-9)
\nMulti-domain Task-oriented Dialog Challenge II<\/strong>
\nBaolin Peng<\/a>, Jianfeng Gao<\/a>, Jinchao Li<\/a>, Lars Liden<\/a>, Minlie Huang, Qi Zhu, Runze Liang, Ryuichi Takanobu, Shahin Shayandeh<\/a>, Swadheen Shukla<\/a>, Zheng Zhang<\/a><\/p>\n

Workshop
\nTrustworthy AI for Healthcare<\/strong>
\nLawrence Carin, Emily Fox, Russ Greiner, Joyce Ho, Tommi Jaakkola, Heng Ji, Sanmi Koyejo, Yan Liu, Sendhil Mullainathan, Susan Murphy, Tristan Naumann<\/a>, Lucila Ohno-Machado, Rajesh Ranganath, Jimeng Sun
\nInvited Speaker: Tristan Naumann<\/a><\/p>\n

Workshop
\nThe Fourth Workshop on Reasoning and Learning for Human-Machine Dialogues<\/strong><\/a>
\nInvited Speaker: Ahmed Awadallah<\/a>Opens in a new tab<\/span><\/p>\n","tab-content":[{"id":0,"name":"About","content":"Microsoft is proud to be a silver sponsor of the 35th AAAI Conference on Artificial Intelligence<\/a>. Stop by our virtual booth to chat with our researchers and learn about open opportunities at Microsoft. See below for our live chat schedule.\r\n

Live chat with us<\/h2>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Thursday, February 4<\/strong><\/td>\r\n<\/tr>\r\n
Time (PST)<\/strong><\/td>\r\nName, Title<\/strong><\/td>\r\n<\/tr>\r\n
11:00\u201311:45<\/td>\r\nAmy Siebenthaler, Recruiting<\/td>\r\n<\/tr>\r\n
11:45\u201312:30<\/td>\r\nAmy Siebenthaler, Recruiting\r\nTristan Naumann, ML & NLP for Health<\/td>\r\n<\/tr>\r\n
19:00\u201319:45<\/td>\r\nSoroush Mehri, Machine Learning<\/td>\r\n<\/tr>\r\n
Friday, February 5<\/strong><\/td>\r\n<\/tr>\r\n
Time (PST)<\/strong><\/td>\r\nName, Title<\/strong><\/td>\r\n<\/tr>\r\n
3:45\u20134:30<\/td>\r\nKrzysztof Maziarz, Generative Chemistry, GNNs<\/td>\r\n<\/tr>\r\n
10:00 \u201311:00<\/td>\r\nAmy Siebenthaler, Recruiting\r\nLar Liden, NLP, Conversational AI<\/td>\r\n<\/tr>\r\n
11:00\u201311:45<\/td>\r\nAmy Siebenthaler, Recruiting<\/td>\r\n<\/tr>\r\n
11:45\u201312:30<\/td>\r\nTristan Naumann, ML & NLP for Health<\/td>\r\n<\/tr>\r\n
18:00\u201319:00<\/td>\r\nBesmira Nushi, Reliable & Robust ML, Human-AI Collaboration<\/td>\r\n<\/tr>\r\n
Saturday, February 6<\/strong><\/td>\r\n<\/tr>\r\n
Time (PST)<\/strong><\/td>\r\nName, Title<\/strong><\/td>\r\n<\/tr>\r\n
10:00\u201311:45<\/td>\r\nAmy Siebenthaler, Recruiting<\/td>\r\n<\/tr>\r\n
11:45\u201312:30<\/td>\r\nCammy Vasquez, Recruiting<\/td>\r\n<\/tr>\r\n
18:00\u201320:30<\/td>\r\nCammy Vasquez, Recruiting\r\nJiayi Song, Recruiting\r\nYun Chen, Recruiting<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>"},{"id":1,"name":"Schedule","content":"All times are displayed in Pacific Time (UTC-08:00)<\/em>\r\n

Wednesday, February 3<\/h3>\r\n8:30 \u2013 11:45 | Tutorial\r\nResponsible AI in Industry: Practical Challenges and Lessons Learned<\/strong>\r\nKrishnaram Kenthapadi, Ben Packer, Mehrnoosh Sameki<\/strong>, Nashlie Sephus\r\n\r\n
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Thursday, February 4<\/h3>\r\n12:45 \u2013 2:30 AM | Demonstration\r\nIntegrating Pre-trained Model into Rule-based Dialogue Management<\/strong><\/a>\r\nJun Quan<\/strong>, Meng Yang<\/strong>, Qiang Gan<\/strong>, Deyi Xiong, Yiming Liu<\/strong>, Yuchen Dong<\/a>, Fangxin Ouyang<\/strong>, Jun Tian<\/a>, Ruiling Deng<\/strong>, Yongzhi Li<\/strong>, Yang Yang<\/strong>, Daxin Jiang<\/a>\r\n\r\n8:45 \u2013 10:30 AM | Demonstration\r\nIntegrating Pre-trained Model into Rule-based Dialogue Management<\/strong><\/a>\r\nJun Quan<\/strong>, Meng Yang<\/strong>, Qiang Gan<\/strong>, Deyi Xiong, Yiming Liu<\/strong>, Yuchen Dong<\/a>, Fangxin Ouyang<\/strong>, Jun Tian<\/a>, Ruiling Deng<\/strong>, Yongzhi Li<\/strong>, Yang Yang<\/strong>, Daxin Jiang<\/a>\r\n\r\n8:45 \u2013 10:30 AM | Intelligent Robots \/ Vision for Robotics\r\nLearning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency<\/strong>\r\nSeokju Lee, Sunghoon Im, Stephen Lin<\/strong>, In So Kweon\r\n\r\n8:45 \u2013 10:30 AM | ML: Reinforcement Learning\r\nSuccessor feature sets: generalizing successor representations across policies<\/strong>\r\nKiant\u00e9 Brantley, Soroush Mehri<\/a>, Geoff Gordon<\/a>\r\n\r\n8:45 \u2013 10:30 AM | NLP: Discourse \/ Dialog \/ Summarization\r\nData Augmentation for Abstractive Query-Focused Multi-Document Summarization<\/strong>\r\nRamakanth R Pasunuru, Asli Celikyilmaz<\/a>, Michel Galley<\/a>, Chenyan Xiong<\/a>, Yizhe Zhang<\/a>, Mohit Bansal, Jianfeng Gao<\/a>\r\n\r\n8:45 \u2013 10:30 AM | NLP: Ethics\r\nHow Linguistically Fair are Multilingual Pre-Trained Language Models?<\/strong><\/a>\r\nMonojit Choudhury<\/a>, Amit Deshpande<\/a>\r\n\r\n8:45 \u2013 10:30 AM | NLP: Information Extraction\r\nDenoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model<\/strong>\r\nHongyu Lin, Wenkai Zhang, Xianpei Han, Le Sun, Huidan Liu, Nicholas Yuan<\/strong>, Zhicheng Wei\r\n\r\n8:45 \u2013 10:30 AM | Philosophy and Ethics of AI\r\nThe Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective<\/strong>\r\nNaman Goel, Alfonso Amayuelas, Amit Deshpande<\/a>, Amit Sharma<\/a>\r\n\r\n8:45 \u2013 10:30 AM | Philosophy and Ethics of AI\r\nHow Does Data Augmentation Affect Privacy in Machine Learning?<\/strong>\r\nDa Yu, Huishuai Zhang<\/a>, Wei Chen<\/a>, Jian Yin, Tie-Yan Liu<\/a>\r\n\r\n8:45 \u2013 10:30 AM | Philosophy and Ethics of AI\r\nIs the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork<\/strong><\/a>\r\nGagan Bansal, Besmira Nushi<\/a>, Ece Kamar<\/a>, Eric Horvitz<\/a>, Daniel Weld\r\n\r\n8:45 \u2013 10:30 AM | Vision: Scene Analysis & Understanding\r\nHolistic Multi-View Building Analysis in the Wild with Projection Pooling<\/strong>\r\nZbigniew Bogdan Wojna, Krzysztof Maziarz<\/a>, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iason Kokkinos\r\n\r\n4:45 \u2013 6:30 PM | Demonstration\r\nIntegrating Pre-trained Model into Rule-based Dialogue Management<\/strong><\/a>\r\nJun Quan<\/strong>, Meng Yang<\/strong>, Qiang Gan<\/strong>, Deyi Xiong, Yiming Liu<\/strong>, Yuchen Dong<\/a>, Fangxin Ouyang<\/strong>, Jun Tian<\/a>, Ruiling Deng<\/strong>, Yongzhi Li<\/strong>, Yang Yang<\/strong>, Daxin Jiang<\/a>\r\n\r\n4:45 \u2013 6:30 PM | NLP: Discourse \/ Dialog \/ Summarization\r\nData Augmentation for Abstractive Query-Focused Multi-Document Summarization<\/strong>\r\nRamakanth R Pasunuru, Asli Celikyilmaz<\/a>, Michel Galley<\/a>, Chenyan Xiong<\/a>, Yizhe Zhang<\/a>, Mohit Bansal, Jianfeng Gao<\/a>\r\n\r\n4:45 \u2013 6:30 PM | NLP: Information Extraction\r\nDenoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model<\/strong>\r\nHongyu Lin, Wenkai Zhang, Xianpei Han, Le Sun, Huidan Liu, Nicholas Yuan<\/strong>, Zhicheng Wei\r\n\r\n4:45 \u2013 6:30 PM | ML: Reinforcement Learning\r\nSuccessor feature sets: generalizing successor representations across policies<\/strong>\r\nKiant\u00e9 Brantley, Soroush Mehri<\/a>, Geoff Gordon<\/a>\r\n\r\n4:45 \u2013 6:30 PM | Philosophy and Ethics of AI\r\nHow Does Data Augmentation Affect Privacy in Machine Learning?<\/strong>\r\nDa Yu, Huishuai Zhang<\/a>, Wei Chen<\/a>, Jian Yin, Tie-Yan Liu<\/a>\r\n\r\n4:45 \u2013 6:30 PM | Philosophy and Ethics of AI\r\nIs the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork<\/strong><\/a>\r\nGagan Bansal, Besmira Nushi<\/a>, Ece Kamar<\/a>, Eric Horvitz<\/a>, Daniel Weld\r\n\r\n4:45 \u2013 6:30 PM | Vision: Image and Video Retrieval\r\nExploiting Sample Uncertainty for Domain Adaptive Person Re-Identification<\/strong>\r\nKecheng Zheng, Cuiling Lan<\/a>, Wenjun Zeng<\/a>, Zhizheng Zhang, Zheng-Jun Zha\r\n\r\n4:45 \u2013 6:30 PM | Vision: Scene Analysis & Understanding\r\nHolistic Multi-View Building Analysis in the Wild with Projection Pooling<\/strong>\r\nZbigniew Bogdan Wojna, Krzysztof Maziarz<\/a>, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iason Kokkinos\r\n\r\n
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Friday, February 5<\/h3>\r\n12:45 \u2013 2:30 AM | Intelligent Robots \/ Vision for Robotics\r\nLearning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency<\/strong>\r\nSeokju Lee, Sunghoon Im, Stephen Lin<\/strong>, In So Kweon\r\n\r\n12:45 \u2013 2:30 AM | NLP: Ethics\r\nHow Linguistically Fair are Multilingual Pre-Trained Language Models?<\/strong><\/a>\r\nMonojit Choudhury<\/a>, Amit Deshpande<\/a>\r\n\r\n12:45 \u2013 2:30 AM | Philosophy and Ethics of AI\r\nThe Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective<\/strong>\r\nNaman Goel, Alfonso Amayuelas, Amit Deshpande<\/a>, Amit Sharma<\/a>\r\n\r\n12:45 \u2013 2:30 AM | Vision: Image and Video Retrieval\r\nExploiting Sample Uncertainty for Domain Adaptive Person Re-Identification<\/strong>\r\nKecheng Zheng, Cuiling Lan<\/a>, Wenjun Zeng<\/a>, Zhizheng Zhang, Zheng-Jun Zha\r\n\r\n8:45 \u2013 10:30 AM | Applications\r\nUniversal Trading for Order Execution with Oracle Policy Distillation<\/strong>\r\nYuchen Fang, Kan Ren<\/a>, Weiqing Liu<\/strong>, Dong Zhou<\/a>, Weinan Zhang, Jiang Bian<\/a>, Yong Yu, Tie-Yan Liu<\/a>\r\n\r\n8:45 \u2013 10:30 AM | Fair Division\r\nFair and Truthful Mechanisms for Dichotomous Valuations<\/strong>\r\nMoshe Babaioff<\/a>, Tomer Ezra, Uriel Feige\r\n\r\n8:45 \u2013 10:30 AM | Game Theory and Economic Paradigms\r\nEstimating alpha-Rank by Maximizing Information Gain<\/strong><\/a>\r\nTabish Rashid, Cheng Zhang<\/a>, Kamil Ciosek<\/strong>\r\n\r\n8:45 \u2013 10:30 AM | Heuristic and Greedy Search\r\nNuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem<\/strong>\r\nJiejiang Chen, Shaowei Cai, Shiwei Pan, Yiyuan Wang, Qingwei Lin<\/a>, Mengyu Zhao, Minghao Yin\r\n\r\n8:45 \u2013 10:30 AM | NLP: Generation\r\nCopy That! Editing Sequences by Copying Spans<\/strong>\r\nSheena L Panthaplackel, Miltiadis Allamanis<\/a>, Marc Brockschmidt<\/a>\r\n\r\n8:45 \u2013 10:30 AM | NLP: Generation\r\nA Controllable Model of Grounded Response Generation<\/strong>\r\nZeqiu Wu, Michel Galley<\/a>, Chris Brockett<\/a>, Yizhe Zhang<\/a>, Xiang Gao<\/a>, Chris Quirk<\/a>, Rik Koncel-Kedziorski, Jianfeng Gao<\/a>, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan<\/a>\r\n\r\n8:45 \u2013 10:30 AM | Search and Optimization\r\nOpEvo: An Evolutionary Method for Tensor Operator Optimization<\/strong>\r\nXiaotian Gao<\/strong>, Wei Cui<\/a>, Lintao Zhang<\/strong>, Mao Yang<\/a>\r\n\r\n4:45 \u2013 6:30 PM | 3D Computer Vision\r\nUnsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination<\/strong>\r\nPeng-Shuai Wang<\/strong>, Yuqi Yang, Qianfang Zou, Zhirong Wu<\/a>, Yang Liu<\/a>, Xin Tong<\/a>\r\n\r\n4:45 \u2013 6:30 PM | Applications\r\nUniversal Trading for Order Execution with Oracle Policy Distillation<\/strong>\r\nYuchen Fang, Kan Ren<\/a>, Weiqing Liu<\/strong>, Dong Zhou<\/a>, Weinan Zhang, Jiang Bian<\/a>, Yong Yu, Tie-Yan Liu<\/a>\r\n\r\n4:45 \u2013 6:30 PM | Game Theory and Economic Paradigms\r\nEstimating alpha-Rank by Maximizing Information Gain<\/strong><\/a>\r\nTabish Rashid, Cheng Zhang<\/a>, Kamil Ciosek<\/strong>\r\n\r\n4:45 \u2013 6:30 PM | ML: Bandits \/ RL \/ Imitation Learning\r\nCombinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback<\/strong>\r\nYihan Du, Yuko Kuroki, Wei Chen<\/strong>\r\n\r\n4:45 \u2013 6:30 PM | ML: Unsupervised & Self-Supervised Learning\r\nDistilling Localization for Self-Supervised Representation Learning<\/strong>\r\nNanxuan Zhao, Zhirong Wu<\/a>, Rynson W.H. Lau, Stephen Lin<\/strong>\r\n\r\n4:45 \u2013 6:30 PM | NLP: Conversational AI\/Dialog Systems\r\nLearning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues<\/strong>\r\nRuijian Xu, Chongyang Tao<\/strong>, Daxin Jiang<\/a>, Xueliang Zhao, Dongyan Zhao, Rui Yan\r\n\r\n4:45 \u2013 6:30 PM | NLP: Generation\r\nCopy That! Editing Sequences by Copying Spans<\/strong>\r\nSheena L Panthaplackel, Miltiadis Allamanis<\/a>, Marc Brockschmidt<\/a>\r\n\r\n4:45 \u2013 6:30 PM | NLP: Information Extraction\r\nA Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition<\/strong>\r\nYongxiu Xu<\/strong>, Heyan Huang, Chong Feng, Yue Hu\r\n\r\n4:45 \u2013 6:30 PM | NLP: Information Extraction\r\nA Controllable Model of Grounded Response Generation<\/strong>\r\nZeqiu Wu, Michel Galley<\/a>, Chris Brockett<\/a>, Yizhe Zhang<\/a>, Xiang Gao<\/a>, Chris Quirk<\/a>, Rik Koncel-Kedziorski, Jianfeng Gao<\/a>, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan<\/a>\r\n\r\n4:45 \u2013 6:30 PM | Search and Optimization\r\nOpEvo: An Evolutionary Method for Tensor Operator Optimization<\/strong>\r\nXiaotian Gao<\/strong>, Wei Cui<\/a>, Lintao Zhang<\/strong>, Mao Yang<\/a>\r\n\r\n4:45 \u2013 6:30 PM | Speech & Signal Processing\r\nInteractive Speech and Noise Modeling for Speech Enhancement<\/strong>\r\nChengyu Zheng, Xiulian Peng<\/a>, Yuan Zhang, Sriram Srinivasan<\/a>, Yan Lu<\/a>\r\n\r\n4:45 \u2013 6:30 PM | Speech & Signal Processing\r\nUWSpeech: Speech to Speech Translation for Unwritten Languages<\/strong>\r\nChen Zhang, Xu Tan<\/a>, Yi Ren, Tao Qin<\/a>, Kejun Zhang, Tieyan Liu<\/strong>\r\n\r\n
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Saturday, February 6<\/h3>\r\n12:45 \u2013 2:30 AM | 3D Computer Vision\r\nUnsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination<\/strong>\r\nPeng-Shuai Wang<\/strong>, Yuqi Yang, Qianfang Zou, Zhirong Wu<\/a>, Yang Liu<\/a>, Xin Tong<\/a>\r\n\r\n12:45 \u2013 2:30 AM | Fair Division\r\nFair and Truthful Mechanisms for Dichotomous Valuations<\/strong>\r\nMoshe Babaioff<\/a>, Tomer Ezra, Uriel Feige\r\n\r\n12:45 \u2013 2:30 AM | Heuristic and Greedy Search\r\nNuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem<\/strong>\r\nJiejiang Chen, Shaowei Cai, Shiwei Pan, Yiyuan Wang, Qingwei Lin<\/a>, Mengyu Zhao, Minghao Yin\r\n\r\n12:45 \u2013 2:30 AM | ML: Bandits \/ RL \/ Imitation Learning\r\nCombinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback<\/strong>\r\nYihan Du, Yuko Kuroki, Wei Chen<\/strong>\r\n\r\n12:45 \u2013 2:30 AM | ML: Unsupervised & Self-Supervised Learning\r\nDistilling Localization for Self-Supervised Representation Learning<\/strong>\r\nNanxuan Zhao, Zhirong Wu<\/a>, Rynson W.H. Lau, Stephen Lin<\/strong>\r\n\r\n12:45 \u2013 2:30 AM | NLP: Conversational AI\/Dialog Systems\r\nLearning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues<\/strong>\r\nRuijian Xu, Chongyang Tao<\/strong>, Daxin Jiang<\/a>, Xueliang Zhao, Dongyan Zhao, Rui Yan\r\n\r\n12:45 \u2013 2:30 AM | NLP: Information Extraction\r\nA Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition<\/strong>\r\nYongxiu Xu<\/strong>, Heyan Huang, Chong Feng, Yue Hu\r\n\r\n12:45 \u2013 2:30 AM | Speech & Signal Processing\r\nInteractive Speech and Noise Modeling for Speech Enhancement<\/strong>\r\nChengyu Zheng, Xiulian Peng<\/a>, Yuan Zhang, Sriram Srinivasan<\/a>, Yan Lu<\/a>\r\n\r\n12:45 \u2013 2:30 AM | Speech & Signal Processing\r\nUWSpeech: Speech to Speech Translation for Unwritten Languages<\/strong>\r\nChen Zhang, Xu Tan<\/a>, Yi Ren, Tao Qin<\/a>, Kejun Zhang, Tieyan Liu<\/strong>\r\n\r\n8:45 \u2013 10:30 AM | Applications\r\nTowards Balanced Defect Prediction with Better Information Propagation<\/strong>\r\nXianda Zheng, Yuan-Fang Li, Huan Gao<\/strong>, Yuncheng Hua, Guilin Qi\r\n\r\n8:45 \u2013 10:30 AM | Language and Vision\r\nVIVO: Visual Vocabulary Pre-Training for Novel Object Captioning<\/strong>\r\nXiaowei Hu<\/a>, Xi Yin<\/strong>, Kevin Lin<\/a>, Lei Zhang<\/a>, Jianfeng Gao<\/a>, Lijuan Wang<\/a>, Zicheng Liu<\/a>\r\n\r\n8:45 \u2013 10:30 AM | ML: Learning Theory \/ Optimization\r\nFrugal Optimization for Cost-related Hyperparameters<\/strong>\r\nQingyun Wu<\/a>, Chi Wang<\/a>, Silu Huang<\/a>\r\n\r\n8:45 \u2013 10:30 AM | ML: Neural Network Algorithms\r\nLearning to Reweight with Deep Interactions<\/strong>\r\nYang Fan, Yingce Xia<\/a>, Lijun Wu<\/a>, Shufang Xie<\/a>, Weiqing Liu<\/a>, Jiang Bian<\/a>, Tao Qin<\/a>, Xiangyang Li\r\n\r\n8:45 \u2013 10:30 AM | NLP: Information Extraction\r\nRe-TACRED: Addressing Shortcomings of the TACRED Dataset<\/strong>\r\nGeorge I Stoica, Emmanouil Antonios Platanios<\/strong>, Barnabas Poczos\r\n\r\n8:45 \u2013 10:30 AM | Vision: Computational Photography, Image & Video Synthesis\r\nObject-Centric Image Generation from Layouts<\/strong><\/a>\r\nTristan Sylvain, Pengchuan Zhang<\/a>, Yoshua Bengio, R Devon Hjelm<\/a>, Shikhar Sharma<\/a>\r\n\r\n4:45 \u2013 6:30 PM | Applications\r\nCorrelation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems<\/strong>\r\nChuan Luo<\/strong>, Bo Qiao<\/a>, Wenqian Xing<\/strong>, Xin Chen<\/strong>, Pu Zhao<\/strong>, Chao Du<\/strong>, Randolph Yao<\/strong>, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan<\/strong>, Qingwei Lin<\/strong>\r\n\r\n4:45 \u2013 6:30 PM | Applications\r\nTowards Balanced Defect Prediction with Better Information Propagation<\/strong>\r\nXianda Zheng, Yuan-Fang Li, Huan Gao<\/strong>, Yuncheng Hua, Guilin Qi\r\n\r\n4:45 \u2013 6:30 PM | Humans and AI\r\nImproving the Performance-Compatibility Tradeoff with Personalized Objective Functions<\/strong>\r\nJonathan Martinez, Kobi Gal, Ece Kamar<\/a>, Levi H. S. Lelis\r\n\r\n4:45 \u2013 6:30 PM | Language and Vision\r\nVIVO: Visual Vocabulary Pre-Training for Novel Object Captioning<\/strong>\r\nXiaowei Hu<\/a>, Xi Yin<\/strong>, Kevin Lin<\/a>, Lei Zhang<\/a>, Jianfeng Gao<\/a>, Lijuan Wang<\/a>, Zicheng Liu<\/a>\r\n\r\n4:45 \u2013 6:30 PM | ML: Learning Theory \/ Optimization\r\nFrugal Optimization for Cost-related Hyperparameters<\/strong>\r\nQingyun Wu<\/a>, Chi Wang<\/a>, Silu Huang<\/a>\r\n\r\n4:45 \u2013 6:30 PM | NLP: Conversational AI\/Dialog Systems\r\nCo-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification<\/strong>\r\nLibo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni<\/strong>, Ting Liu\r\n\r\n4:45 \u2013 6:30 PM | NLP: Information Extraction\r\nRe-TACRED: Addressing Shortcomings of the TACRED Dataset<\/strong>\r\nGeorge I Stoica, Emmanouil Antonios Platanios<\/strong>, Barnabas Poczos\r\n\r\n4:45 \u2013 6:30 PM | NLP: Learning & Optimization\r\nSimpson's Bias in NLP Training<\/strong>\r\nFei Yuan, Longtu Zhang, Huang Bojun, Yaobo Liang<\/a>\r\n\r\n4:45 \u2013 6:30 PM | NLP: Semantics\r\nIterative Utterance Segmentation for Neural Semantic Parsing<\/strong><\/a>\r\nYinuo Guo, Zeqi Lin<\/a>, Jian-Guang Lou<\/a>, Dongmei Zhang<\/a>\r\n\r\n4:45 \u2013 6:30 PM | Vision: Object Detection & Categorization\r\nVery Important Person Localization in Unconstrained Conditions: A New Benchmark<\/strong>\r\nXiao Wang, Zheng Wang, Toshihiko Yamasaki, Wenjun Zeng<\/a>\r\n\r\n
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Sunday, February 7<\/h3>\r\n12:45 \u2013 2:30 AM | Applications\r\nCorrelation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems<\/strong>\r\nChuan Luo<\/strong>, Bo Qiao<\/a>, Wenqian Xing<\/strong>, Xin Chen<\/strong>, Pu Zhao<\/strong>, Chao Du<\/strong>, Randolph Yao<\/strong>, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan<\/strong>, Qingwei Lin<\/strong>\r\n\r\n12:45 \u2013 2:30 AM | Humans and AI\r\nImproving the Performance-Compatibility Tradeoff with Personalized Objective Functions<\/strong>\r\nJonathan Martinez, Kobi Gal, Ece Kamar<\/a>, Levi H. S. Lelis\r\n\r\n12:45 \u2013 2:30 AM | ML: Neural Network Algorithms\r\nLearning to Reweight with Deep Interactions<\/strong>\r\nYang Fan, Yingce Xia<\/a>, Lijun Wu<\/a>, Shufang Xie<\/a>, Weiqing Liu<\/a>, Jiang Bian<\/a>, Tao Qin<\/a>, Xiangyang Li\r\n\r\n12:45 \u2013 2:30 AM | NLP: Conversational AI\/Dialog Systems\r\nCo-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification<\/strong>\r\nLibo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni<\/strong>, Ting Liu\r\n\r\n12:45 \u2013 2:30 AM | NLP: Learning & Optimization\r\nSimpson's Bias in NLP Training<\/strong>\r\nFei Yuan, Longtu Zhang, Huang Bojun, Yaobo Liang<\/a>\r\n\r\n12:45 \u2013 2:30 AM | NLP: Semantics\r\nIterative Utterance Segmentation for Neural Semantic Parsing<\/strong><\/a>\r\nYinuo Guo, Zeqi Lin<\/a>, Jian-Guang Lou<\/a>, Dongmei Zhang<\/a>\r\n\r\n12:45 \u2013 2:30 AM | Vision: Object Detection & Categorization\r\nVery Important Person Localization in Unconstrained Conditions: A New Benchmark<\/strong>\r\nXiao Wang, Zheng Wang, Toshihiko Yamasaki, Wenjun Zeng<\/a>\r\n\r\n12:45 \u2013 2:30 AM | Vision: Computational Photography, Image & Video Synthesis\r\nObject-Centric Image Generation from Layouts<\/strong><\/a>\r\nTristan Sylvain, Pengchuan Zhang<\/a>, Yoshua Bengio, R Devon Hjelm<\/a>, Shikhar Sharma<\/a>\r\n\r\n8:45 \u2013 10:30 AM | ML: Reinforcement Learning\r\nReinforcement Learning with Trajectory Feedback<\/strong>\r\nYonathan Efroni<\/a>, Nadav Merlis, Shie Mannor\r\n\r\n8:45 \u2013 10:30 AM | ML: Transfer\/Adaptation\/Multi-task\/Meta\/Automated Learning\r\nMeta Label Correction for Noisy Label Learning<\/strong><\/a>\r\nGuoqing Zheng<\/a>, Ahmed Awadallah<\/a>, Susan Dumais<\/a>\r\n\r\n8:45 \u2013 10:30 AM | Neuro-Symbolic AI\r\nSelf-Supervised Self Supervision by Combining Deep Learning and Probabilistic Logic<\/strong>\r\nHunter Lang, Hoifung Poon<\/a>\r\n\r\n8:45 \u2013 10:30 AM | NLP: Deep Learning\r\nReinforced Multi-Teacher Selection for Knowledge Distillation<\/strong>\r\nFei Yuan, Linjun Shou<\/a>, Jian Pei, Wutao Lin<\/strong>, Ming Gong<\/a>, Yan Fu, Daxin Jiang<\/a>\r\n\r\n4:45 \u2013 6:30 PM | Data Mining & Knowledge Management\r\nFairness-aware News Recommendation with Decomposed Adversarial Learning<\/strong>\r\nChuhan Wu, Fangzhao Wu<\/a>, Xiting Wang<\/a>, Yongfeng Huang, Xing Xie<\/a>\r\n\r\n4:45 \u2013 6:30 PM | ML: Active \/ Weakly-Supervised \/ Semi-Supervised Learning\r\nRevisiting Iterative Back-Translation from the Perspective of Compositional Generalization<\/strong>\r\nYinuo Guo, Hualei Zhu, Zeqi Lin<\/a>, Bei Chen<\/a>, Jian-Guang Lou<\/a>, Dongmei Zhang<\/a>\r\n\r\n4:45 \u2013 6:30 PM | ML: Active \/ Weakly-Supervised \/ Semi-Supervised Learning\r\nPULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector<\/strong>\r\nChuan Luo<\/strong>, Pu Zhao<\/a>, Chen Chen<\/a>, Bo Qiao<\/a>, Chao Du<\/strong>, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan<\/strong>, Qingwei Lin<\/a>\r\n\r\n4:45 \u2013 6:30 PM | ML: Matrix & Tensor Methods\r\nScalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning<\/strong>\r\nChao Chen, Dongsheng Li<\/a>, Junchi Yan, Hanchi Huang, Xiaokang Yang\r\n\r\n4:45 \u2013 6:30 PM | ML: Transfer\/Adaptation\/Multi-task\/Meta\/Automated Learning\r\nMeta Label Correction for Noisy Label Learning<\/strong><\/a>\r\nGuoqing Zheng<\/a>, Ahmed Awadallah<\/a>, Susan Dumais<\/a>\r\n\r\n4:45 \u2013 6:30 PM | Neuro-Symbolic AI\r\nSelf-Supervised Self Supervision by Combining Deep Learning and Probabilistic Logic<\/strong>\r\nHunter Lang, Hoifung Poon<\/a>\r\n\r\n4:45 \u2013 6:30 PM | NLP: Applications\r\nAutomatic Song Writing with Pre-training and Alignment Constraint<\/strong>\r\nZhonghao Sheng, Kaitao Song, Xu Tan<\/a>, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin<\/a>\r\n\r\n4:45 \u2013 6:30 PM | NLP: Conversational AI \/ Dialog Systems\r\nOpen Domain Dialogue Generation with Latent Images<\/strong>\r\nZe Yang, Wei Wu, Huang Hu<\/strong>, Can Xu<\/strong>, Wei Wang, Zhoujun Li\r\n\r\n4:45 \u2013 6:30 PM | NLP: Generation\r\nCode Completion by Modeling Flattened Abstract Syntax Trees as Graphs<\/strong>\r\nYanlin Wang<\/strong>, Hui Li\r\n\r\n4:45 \u2013 6:30 PM | NLP: Generation\r\nTowards Topic-aware Slide Generation for Academic Papers with Unsupervised Mutual Learning<\/strong>\r\nDa-Wei Li, Danqing Huang<\/a>, Tingting Ma, Chin-Yew Lin<\/a>\r\n\r\n4:45 \u2013 6:30 PM | NLP: Language Models\r\nSelf-Attention Attribution: Interpreting Information Interactions Inside Transformer<\/strong>\r\nYaru Hao, Li Dong<\/a>, Furu Wei<\/a>, Ke Xu\r\n\r\n4:45 \u2013 6:30 PM | NLP: Language Models\r\nFILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding<\/strong><\/a>\r\nYuwei Fang<\/a>, Shuohang Wang<\/strong>, Zhe Gan<\/a>, Siqi Sun<\/a>, Jingjing Liu<\/a>\r\n\r\n4:45 \u2013 6:30 PM | Vision: Video Understanding & Activity Analysis\r\nWeakly-supervised Temporal Action Localization by Uncertainty Modeling<\/strong>\r\nPilhyeon Lee, Jinglu Wang<\/a>, Yan Lu<\/a>, Hyeran Byun\r\n\r\n
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Monday, February 8<\/h3>\r\nWorkshop\r\n9th Dialog System Technology Challenge (DSTC-9)\r\nMulti-domain Task-oriented Dialog Challenge II<\/strong>\r\nBaolin Peng<\/a>, Jianfeng Gao<\/a>, Jinchao Li<\/a>, Lars Liden<\/a>, Minlie Huang, Qi Zhu, Runze Liang, Ryuichi Takanobu, Shahin Shayandeh<\/a>, Swadheen Shukla<\/a>, Zheng Zhang<\/a>\r\n\r\n12:45 \u2013 2:30 AM | Data Mining & Knowledge Management\r\nFairness-aware News Recommendation with Decomposed Adversarial Learning<\/strong>\r\nChuhan Wu, Fangzhao Wu<\/a>, Xiting Wang<\/a>, Yongfeng Huang, Xing Xie<\/a>\r\n\r\n12:45 \u2013 2:30 AM | ML: Active \/ Weakly-Supervised \/ Semi-Supervised Learning\r\nRevisiting Iterative Back-Translation from the Perspective of Compositional Generalization<\/strong>\r\nYinuo Guo, Hualei Zhu, Zeqi Lin<\/a>, Bei Chen<\/a>, Jian-Guang Lou<\/a>, Dongmei Zhang<\/a>\r\n\r\n12:45 \u2013 2:30 AM | ML: Active \/ Weakly-Supervised \/ Semi-Supervised Learning\r\nPULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector<\/strong>\r\nChuan Luo<\/strong>, Pu Zhao<\/a>, Chen Chen<\/a>, Bo Qiao<\/a>, Chao Du<\/strong>, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan<\/strong>, Qingwei Lin<\/a>\r\n\r\n12:45 \u2013 2:30 AM | ML: Matrix & Tensor Methods\r\nScalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning<\/strong>\r\nChao Chen, Dongsheng Li<\/a>, Junchi Yan, Hanchi Huang, Xiaokang Yang\r\n\r\n12:45 \u2013 2:30 AM | ML: Reinforcement Learning\r\nReinforcement Learning with Trajectory Feedback<\/strong>\r\nYonathan Efroni<\/a>, Nadav Merlis, Shie Mannor\r\n\r\n12:45 \u2013 2:30 AM | NLP: Applications\r\nAutomatic Song Writing with Pre-training and Alignment Constraint<\/strong>\r\nZhonghao Sheng, Kaitao Song, Xu Tan<\/a>, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin<\/a>\r\n\r\n12:45 \u2013 2:30 AM | NLP: Conversational AI \/ Dialog Systems\r\nOpen Domain Dialogue Generation with Latent Images<\/strong>\r\nZe Yang, Wei Wu, Huang Hu<\/strong>, Can Xu<\/strong>, Wei Wang, Zhoujun Li\r\n\r\n12:45 \u2013 2:30 AM | NLP: Deep Learning\r\nReinforced Multi-Teacher Selection for Knowledge Distillation<\/strong>\r\nFei Yuan, Linjun Shou<\/a>, Jian Pei, Wutao Lin<\/strong>, Ming Gong<\/a>, Yan Fu, Daxin Jiang<\/a>\r\n\r\n12:45 \u2013 2:30 AM | NLP: Generation\r\nCode Completion by Modeling Flattened Abstract Syntax Trees as Graphs<\/strong>\r\nYanlin Wang<\/strong>, Hui Li\r\n\r\n12:45 \u2013 2:30 AM | NLP: Generation\r\nTowards Topic-aware Slide Generation for Academic Papers with Unsupervised Mutual Learning<\/strong>\r\nDa-Wei Li, Danqing Huang<\/a>, Tingting Ma, Chin-Yew Lin<\/a>\r\n\r\n12:45 \u2013 2:30 AM | NLP: Language Models\r\nSelf-Attention Attribution: Interpreting Information Interactions Inside Transformer<\/strong>\r\nYaru Hao, Li Dong<\/a>, Furu Wei<\/a>, Ke Xu\r\n\r\n12:45 \u2013 2:30 AM | NLP: Language Models\r\nFILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding<\/strong><\/a>\r\nYuwei Fang<\/a>, Shuohang Wang<\/strong>, Zhe Gan<\/a>, Siqi Sun<\/a>, Jingjing Liu<\/a>\r\n\r\n12:45 \u2013 2:30 AM | Vision: Video Understanding & Activity Analysis\r\nWeakly-supervised Temporal Action Localization by Uncertainty Modeling<\/strong>\r\nPilhyeon Lee, Jinglu Wang<\/a>, Yan Lu<\/a>, Hyeran Byun\r\n\r\n
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Tuesday, February 9<\/h3>\r\nWorkshop\r\n9th Dialog System Technology Challenge (DSTC-9)\r\nMulti-domain Task-oriented Dialog Challenge II<\/strong>\r\nBaolin Peng<\/a>, Jianfeng Gao<\/a>, Jinchao Li<\/a>, Lars Liden<\/a>, Minlie Huang, Qi Zhu, Runze Liang, Ryuichi Takanobu, Shahin Shayandeh<\/a>, Swadheen Shukla<\/a>, Zheng Zhang<\/a>\r\n\r\nWorkshop\r\nTrustworthy AI for Healthcare<\/strong>\r\nLawrence Carin, Emily Fox, Russ Greiner, Joyce Ho, Tommi Jaakkola, Heng Ji, Sanmi Koyejo, Yan Liu, Sendhil Mullainathan, Susan Murphy, Tristan Naumann<\/a>, Lucila Ohno-Machado, Rajesh Ranganath, Jimeng Sun\r\nInvited Speaker: Tristan Naumann<\/a>\r\n\r\nWorkshop\r\nThe Fourth Workshop on Reasoning and Learning for Human-Machine Dialogues<\/strong><\/a>\r\nInvited Speaker: Ahmed Awadallah<\/a>"}],"msr_startdate":"2021-02-02","msr_enddate":"2021-02-09","msr_event_time":"","msr_location":"Virtual","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"February 2, 2021","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":"\"Theme:","event_excerpt":"Microsoft is proud to be a silver sponsor of the 35th AAAI Conference on Artificial Intelligence. Stop by our virtual booth to see demos of our research and learn about open opportunities at Microsoft.","msr_research_lab":[],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[718126,719530,720103,722533,723448,723496,745054,815437],"related-videos":[],"related-posts":[724366],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/713662","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":4,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/713662\/revisions"}],"predecessor-version":[{"id":1146904,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/713662\/revisions\/1146904"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/627627"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=713662"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=713662"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=713662"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=713662"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=713662"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=713662"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=713662"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=713662"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=713662"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}