We are excited to have been part of the 25th International Joint Conference on Artificial Intelligence in the Big Apple, which ran Saturday, July 9, through Friday, July 15, in New York City.
IJCAI is a leading conference in the field of artificial intelligence, and this year’s conference came at a time when AI is having a tremendous impact on society, academia and business. As former Microsoft executive Steven Sinofsky noted following the Code Conference earlier this year, “It is clear, without qualification, that AI is a mainstream technology among the technology leadership companies, and in the near future will be an ingredient of most every leading product and service.”
Research at Microsoft and IJCAI 2016
In addition to the presentation of 551 technical papers (selected from the largest ever pool of submissions to IJCAI), the conference included tutorials, workshops, demonstrations, invited talks, sister conferences best paper talks and early career spotlight talks. On Friday afternoon, IJCAI had an AI Festival featuring talks from IJCAI award winners (this session was open to the public). Friday also featured an industry day.
The theme of this year’s conference was Human-Aware Artificial Intelligence–we had technical paper sessions, invited talks and panels organized around this theme, and focused on the many benefits of AI systems working in collaboration with humans. Read Eric Horvitz discuss Developing technologies that allow people and machines to collaborate on the Microsoft Research blog.
- Ece Kamar, Microsoft Research
- The Malmo Platform for Artificial Intelligence Experimentation
Katja Hofmann, Matthew Johnson, David Bignell and Tim Hutton.
- T5 – Deep Learning and Continuous Representations for NLP led by Scott Wen-tau Yih, Xiaodong He and Jianfeng Gao, Microsoft Research
This tutorial provided an extensive overview on recently developed techniques in deep learning and continuous-space representations for natural language problems. Approaches to important real-world natural language applications, including machine translation, semantic representation modeling, question answering and semantic parsing was the main focus.
- W2: Workshop on Scholarly Big Data: AI Perspectives, Challenges and Ideas
Cornelia Caragea, Madian Khabsa, Sujatha Das Gollapalli, C. Lee Giles and Alex Wade.
- W37: Fifth International Workshop on Human-Agent Interaction Design and Models (HAIDM)
Sarvapali Ramchurn, Avi Rosenfeld, Kobi Gal, Ece Kamar.
- “Urban Water Quality Prediction based on Multi-task Multi-view Learning“by Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu and David Rosenblum
- “Supervised Matrix Factorization for Cross-Modality Hashing” by Hong Liu, Rongrong Ji, Yongjian Wu, Wei Liu and Gang Hua
- “Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction” by Yin Yichun, Wei Furu, Dong Li, Xu Kaimeng, Zhang Ming and Zhou Ming
- “Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback” by Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie and Hui Xiong
- “ST-MVL: Filling Missing Values in Geo-sensory Time Series Data” by Yi Xiuwen, Zheng Yu, Zhang Junbo and Li Tianru
- “Beyond object recognition: Deep visual sentiment analysis via affective concept supervision and transfer” by Jingwen Wang, Jianlong Fu, Yong Xu and Tao Mei
- “Budgeted Multi-armed Bandits with Multiple Plays” by Yingce Xia, Tao Qin, Weidong Ma and Tie-Yan Liu
- “Model-based Deep Hand Pose Estimation” by Xingyi Zhou, Qingfu Wan, Wei Zhang, Xiangyang Xue and Yichen Wei
- “Asynchronous Accelerated Stochastic Gradient Descent” by Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang and Tieyan Liu.