Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs
Weijia Xu, Nebojsa Jojic, Sudha Rao, Chris Brockett, Bill Dolan
Proceedings of the National Academy of Sciences of the United States of America | August 2025
Nebojsa Jojic
Senior Principal Researcher
论文与出版物
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Make Some Noise: Towards LLM audio reasoning and generation using sound tokens
Shivam Mehta, Nebojsa Jojic, Hannes Gamper
2025 International Conference on Acoustics, Speech, and Signal Processing | April 2025
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Fast constrained sampling in pre-trained diffusion models
Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras
NeurIPS 2025 | October 2024
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fLSA: Learning Semantic Structures in Document Collections Using Foundation Models
Weijia Xu, Nebojsa Jojic, Nicolas Le Roux
October 2024
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GENEVA: GENErating and Visualizing branching narratives using LLMs
Jorge J. G. Leandro (jorgeleandro), Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan
IEEE Conference on Games 2024 | August 2024
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Player-Driven Emergence in LLM-Driven Game Narrative
Xiangyu Peng, Jessica Quaye, Sudha Rao, Weijia Xu, Portia Botchway, Chris Brockett, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge J. G. Leandro, Claire Jin, Bill Dolan
IEEE Conference on Games 2024 | August 2024
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PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu
ICLR 2024 | October 2023
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Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
NeurIPS 2023 | October 2023
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Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic
ICML 2024 | May 2023
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Investigating Agency of LLMs in Human-AI Collaboration Tasks
Ashish Sharma, Sudha Rao, Chris Brockett, Akanksha Malhotra, Nebojsa Jojic, Bill Dolan
2023 Conference of the European Chapter of the Association for Computational Linguistics | May 2023
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Coherence boosting: When your pretrained language model is not paying enough attention
Nikolay Malkin, Zhen Wang, Nebojsa Jojic
ACL 2022 | May 2022
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Studying word order through iterative shuffling
Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic
2021 Empirical Methods in Natural Language Processing | September 2021
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GPT Perdetry Test: Generating new meanings for new words
Nikolay Malkin, Sameera Lanka, Pranav Goel, Sudha Rao, Nebojsa Jojic
North American Chapter of the Association for Computational Linguistics: Human Language Technologies | June 2021
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Multi-Label Learning From Single Positive Labels
Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic
May 2021
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2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good
Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic
IEEE Geoscience and Remote Sensing Magazine | March 2021, 第 9 卷(1): pp. 287-C3
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Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, 第 14 卷: pp. 3185-3199
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High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
January 2021
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A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
Methods in Ecology and Evolution | December 2020, 第 12 卷(1): pp. 150-161
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Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
1st place in 2020 IEEE GRSS Data Fusion Contest
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Mining self-similarity: Label super-resolution with epitomic representations
Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic
16th European Conference Computer Vision (ECCV 2020) | August 2020
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Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context
Shashank Srivastava, Alex Polozov, Nebojsa Jojic, Chris Meek
Association for Computational Linguistics | June 2020
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Local Context Normalization: Revisiting Local Normalization
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
CVPR 2020 | June 2020
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The GeoLifeCLEF 2020 Dataset
Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, Dan Morris, Nebojsa Jojic, Pierre Bonnet, Alexis Joly
April 2020
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Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 2020
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FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang
Eighth International Conference on Learning Representations (ICLR) | April 2020
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Distributed Inference and API Hosting for an Image Analysis Service: A Case Study on Land Cover Mapping
Dan Morris, Patrick Flickinger, Caleb Robinson, Jennifer Marsman, Nebojsa Jojic, Lucas Joppa
AGU Fall Meeting 2019 | December 2019
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Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao
Thirty-third Conference on Neural Information Processing Systems (NeurIPS) 2019 | December 2019
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Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
CVPR 2019 | May 2019
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Label super-resolution networks
Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic
ICLR 2019 | September 2018
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Iterative Refinement of the Approximate Posterior for Directed Belief Networks
R. Devon Hjelm, Kyunghyun Cho, Junyoung Chung, Russ Salakhutdinov, Vince Calhoun, Nebojsa Jojic
October 2016
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Capturing Layers In Image Collections With Componential Models
Alessandro Perina, Nebojsa Jojic
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) | January 2013
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Capturing Layers In Image Collections With Componential Models: From The Layered Epitome To The Componential Counting Grid
Alessandro Perina, Nebojsa Jojic
January 2013
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Browsing Documents on a Dense Embedding that Captures Theme Evolution
Alessandro Perina, Nebojsa Jojic
January 2012
Under Submission
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In The Sight Of My Wearable Camera: Classifying My Visual Experience
Alessandro Perina, Nebojsa Jojic
January 2012
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Spring Lattice Counting Grids: Scene Recognition Using Deformable Positional Constraints
Alessandro Perina, Nebojsa Jojic
European Conference on Computer Vision (ECCV) | January 2012
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Stel Component Analysis: Joint Segmentation, Modeling and Recognition of Objects Classes
Alessandro Perina, Nebojsa Jojic, Marco Cristani, Vittorio Murino
International Journal of Computer Vision | January 2012, pp. 1-20
10.1007/s11263-012-0536-5
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Exact Inference And Learning For Cumulative Distribution Functions On Loopy Graphs
Jim Huang, Nebojsa Jojic, Chris Meek
Advances in Neural Information Processing Systems 23 | December 2010
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Design, Expression, and Processing of Epitomized Hepatitis C Virus-Encoded CTL Epitopes
Daniel Yerly, David Heckerman, Todd Allen, Todd J. Suscovich, Nebojsa Jojic, Carl Kadie, Werner J. Pichler, Andreas Cerny, Christian Brander
The Journal of Immunology | November 2008, 第 181 卷: pp. 6361-6370
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Comparison Of Immunogen Designs That Optimize Peptide Coverage: Reply To Fischer et al.
David C Nickle, Nebojsa Jojic, David Heckerman, Darko Kirovski, Vladimir Jojic, Morgane Rolland, Sergei Kosakovsky Pond, James I Mullins
PLoS Computational Biology | March 2008, pp. e25
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Combinatorics of The Vaccine Design Problem: Definition and An Algorithm
Darko Kirovski, David Heckerman, Nebojsa Jojic
MSR-TR-2007-148 | November 2007
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Learning MHC I – Peptide Binding
Nebojsa Jojic, Manuel Reyes-Gomez, David Heckerman, Carl Kadie, Ora Schueler-Furman
June 2006, 第 22 卷(14): pp. e227-e235
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Recursive Estimation of Generative Models of Video
Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Jojic, Sumit Basu, Thomas Huang
June 2006
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Escaping Local Minima through Hierarchical Model Selection: Automatic Object Discovery, Segmentation, and Tracking in Video
Nebojsa Jojic, John Winn, Larry Zitnick
Proceedings of IEEE CVPR | January 2006
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Deformable Spectrograms
Manuel Reyes Gomez, Nebojsa Jojic, Daniel Ellis
MSR-TR-2005-79 | June 2005
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Using Epitomes To Model Genetic Diversity: Rational Design Of HIV Vaccines
Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Chris Meek, David Heckerman
NIPS | May 2005
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LOCUS: Learning Object Classes with Unsupervised Segmentation
Proc. IEEE Intl. Conf. on Computer Vision (ICCV) | January 2005
Proc. IEEE Intl. Conf. on Computer Vision (ICCV)
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Joint Discovery Of Haplotype Blocks And Complex Trait Associations From SNP Sequences
Nebojsa Jojic, Vladimir Jojic, David Heckerman
UAI-P-2004-PG-286-292 | July 2004
Symposium on Networked Systems Design and Implemenentation (NSDI)
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Audio-Visual Graphical Models for Speech Processing
Proc. of the Int. Conf. on Acoustics, Speech, and Signal Processing | May 2004
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Home Video Browsing and Consumption Through Exploration of a Learned Generative Model
Nebojsa Jojic, Sumit Basu, Nemanja Petrovic
April 2004
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Joint Design of Data Analysis Algorithms and User Interfaces for Video Applications
Nebojsa Jojic, Sumit Basu, Nemanja Petrovic, Brendan Frey, Thomas Huang
December 2003
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Efficient Approximations for Learning Phylogenetic HMM Models from Data
Vladimir Jojic, Nebojsa Jojic, Chris Meek, Daniel Geiger, Adam Siepel, David Haussler, David Heckerman
MSR-TR-2003-62 | October 2003
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Learning Mixtures Of Smooth, Nonuniform Deformation Models For Probabilistic Image Matching
Nebojsa Jojic, Brendan J. Frey, Patrice Simard, David Heckerman
Proceedings of Eighth International Workshop on Artificial Intelligence and Statistics, Key West, FL | May 2001
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Transformation-Invariant Clustering and Linear Component Analysis using the EM Algorithm
Brendan J. Frey, Nebojsa Jojic
IEEE Transactions on Pattern Analysis and Machine Intelligence | November 2000
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Transformed Hidden Markov Models: Estimating Mixture Models and Inferring Spatial Transformations in Video Sequences
Nebojsa Jojic, Nemanja Petrovic, Brendan Frey, Thomas Huang
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on | June 2000
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Detecting and estimating pointing gestures in dense disparity maps
Nebojsa Jojic, Barry Brumitt, Brian Meyers, Steve Harris
Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on | March 2000
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Topographic transformation as a discrete latent variable
Nebojsa Jojic, Brendan Frey
Neural Information Processing Systems (NIPS) | November 1999
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Transformed Component Analysis: Joint Estimation of Spatial Transformations and Image Components
Brendan Frey, Nebojsa Jojic
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on | September 1999
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Tracking Self-Occluding Articulated Objects in Dense Disparity Maps
Thomas S. Huang, Nebojsa Jojic, Matthew Turk
MSR-TR-2000-01 | September 1999
IEEE Pre-publication notice. IEEE International Conference on Computer Vision, Corfu, Greece, September, 1999.
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Automated Acquisition of Cryo Electron Micrographs Using Leginon
Nebojsa Jojic, Bridget Carragher
August 1999
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Learning Mixture Models of Images and Inferring Spatial Transformations Using the EM algorithm
Brendan Frey, Nebojsa Jojic
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999. | May 1999
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A Framework For Garment Shopping Over The Internet
Nebojsa Jojic, Yong Rui, Yueting Zhuang, Thomas S. Huang
Handbook on Electronic Commerce
Published by Springer Berlin Heidelberg | May 1999
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Computer Modeling, Analysis and Synthesis of Dressed Humans
Nebojsa Jojic, Jin Gu, Thomas S. Huang, Helen Shen
IEEE Transactions on Circuits and Systems for Video Technology | March 1999
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Tracking Articulated Structures in Stereo Image Sequences
Thomas S. Huang, Nebojsa Jojic, Matthew Turk
January 1999
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3-D Reconstruction Of Multipart Self-Occluding Objects
Nebojsa Jojic, Jin Gu , Helen C. Shen, Thomas Huang
January 1998
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On Analysis of Cloth Drape Range Data
Nebojsa Jojic, Thomas S. Huang
January 1998
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Estimating Cloth Draping Parameters from Range Data
Nebojsa Jojic, Thomas S. Huang
International Workshop on Synthetic-Natural Hybrid Coding and 3-D Imaging | January 1997
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Probability Models for High Dynamic Range Imaging
Nebojsa Jojic, Rick Szeliski, Matt Uyttendaele
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'2004)
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Learning Mixtures Of Smooth, Nonuniform Deformation Models For Probabilistic Image Matching
Nebojsa Jojic, Brendan J. Frey, Patrice Simard, David Heckerman
Proceedings of Eighth International Workshop on Artificial Intelligence and Statistics, Key West, FL | May 2001
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Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs
Weijia Xu, Nebojsa Jojic, Sudha Rao, Chris Brockett, Bill Dolan
Proceedings of the National Academy of Sciences of the United States of America | August 2025
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Fast constrained sampling in pre-trained diffusion models
Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras
NeurIPS 2025 | October 2024
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fLSA: Learning Semantic Structures in Document Collections Using Foundation Models
Weijia Xu, Nebojsa Jojic, Nicolas Le Roux
October 2024
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Player-Driven Emergence in LLM-Driven Game Narrative
Xiangyu Peng, Jessica Quaye, Sudha Rao, Weijia Xu, Portia Botchway, Chris Brockett, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge J. G. Leandro, Claire Jin, Bill Dolan
IEEE Conference on Games 2024 | August 2024
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PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu
ICLR 2024 | October 2023
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Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
NeurIPS 2023 | October 2023
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Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic
ICML 2024 | May 2023
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GPT Perdetry Test: Generating new meanings for new words
Nikolay Malkin, Sameera Lanka, Pranav Goel, Sudha Rao, Nebojsa Jojic
North American Chapter of the Association for Computational Linguistics: Human Language Technologies | June 2021
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2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good
Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic
IEEE Geoscience and Remote Sensing Magazine | March 2021, 第 9 卷(1): pp. 287-C3
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Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, 第 14 卷: pp. 3185-3199
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High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
January 2021
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A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
Methods in Ecology and Evolution | December 2020, 第 12 卷(1): pp. 150-161
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Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
1st place in 2020 IEEE GRSS Data Fusion Contest
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Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context
Shashank Srivastava, Alex Polozov, Nebojsa Jojic, Chris Meek
Association for Computational Linguistics | June 2020
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Local Context Normalization: Revisiting Local Normalization
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
CVPR 2020 | June 2020
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The GeoLifeCLEF 2020 Dataset
Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, Dan Morris, Nebojsa Jojic, Pierre Bonnet, Alexis Joly
April 2020
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Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 2020
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Distributed Inference and API Hosting for an Image Analysis Service: A Case Study on Land Cover Mapping
Dan Morris, Patrick Flickinger, Caleb Robinson, Jennifer Marsman, Nebojsa Jojic, Lucas Joppa
AGU Fall Meeting 2019 | December 2019
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Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao
Thirty-third Conference on Neural Information Processing Systems (NeurIPS) 2019 | December 2019
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Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
CVPR 2019 | May 2019
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Label super-resolution networks
Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic
ICLR 2019 | September 2018
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Iterative Refinement of the Approximate Posterior for Directed Belief Networks
R. Devon Hjelm, Kyunghyun Cho, Junyoung Chung, Russ Salakhutdinov, Vince Calhoun, Nebojsa Jojic
October 2016
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Using Epitomes To Model Genetic Diversity: Rational Design Of HIV Vaccines
Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Chris Meek, David Heckerman
NIPS | May 2005
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Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs
Weijia Xu, Nebojsa Jojic, Sudha Rao, Chris Brockett, Bill Dolan
Proceedings of the National Academy of Sciences of the United States of America | August 2025
-
Player-Driven Emergence in LLM-Driven Game Narrative
Xiangyu Peng, Jessica Quaye, Sudha Rao, Weijia Xu, Portia Botchway, Chris Brockett, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge J. G. Leandro, Claire Jin, Bill Dolan
IEEE Conference on Games 2024 | August 2024
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GENEVA: GENErating and Visualizing branching narratives using LLMs
Jorge J. G. Leandro (jorgeleandro), Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan
IEEE Conference on Games 2024 | August 2024
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Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
NeurIPS 2023 | October 2023
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Investigating Agency of LLMs in Human-AI Collaboration Tasks
Ashish Sharma, Sudha Rao, Chris Brockett, Akanksha Malhotra, Nebojsa Jojic, Bill Dolan
2023 Conference of the European Chapter of the Association for Computational Linguistics | May 2023
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Coherence boosting: When your pretrained language model is not paying enough attention
Nikolay Malkin, Zhen Wang, Nebojsa Jojic
ACL 2022 | May 2022
-
Studying word order through iterative shuffling
Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic
2021 Empirical Methods in Natural Language Processing | September 2021
-
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context
Shashank Srivastava, Alex Polozov, Nebojsa Jojic, Chris Meek
Association for Computational Linguistics | June 2020
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Make Some Noise: Towards LLM audio reasoning and generation using sound tokens
Shivam Mehta, Nebojsa Jojic, Hannes Gamper
2025 International Conference on Acoustics, Speech, and Signal Processing | April 2025
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3-D Reconstruction Of Multipart Self-Occluding Objects
Nebojsa Jojic, Jin Gu , Helen C. Shen, Thomas Huang
January 1998
-
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic
ICML 2024 | May 2023
-
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context
Shashank Srivastava, Alex Polozov, Nebojsa Jojic, Chris Meek
Association for Computational Linguistics | June 2020
-
Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 2020
-
-
-
Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, 第 14 卷: pp. 3185-3199
-
A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
Methods in Ecology and Evolution | December 2020, 第 12 卷(1): pp. 150-161
-
Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
1st place in 2020 IEEE GRSS Data Fusion Contest
-
The GeoLifeCLEF 2020 Dataset
Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, Dan Morris, Nebojsa Jojic, Pierre Bonnet, Alexis Joly
April 2020
-
Distributed Inference and API Hosting for an Image Analysis Service: A Case Study on Land Cover Mapping
Dan Morris, Patrick Flickinger, Caleb Robinson, Jennifer Marsman, Nebojsa Jojic, Lucas Joppa
AGU Fall Meeting 2019 | December 2019
-
Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
CVPR 2019 | May 2019
-
Label super-resolution networks
Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic
ICLR 2019 | September 2018
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-
-
Tracking Self-Occluding Articulated Objects in Dense Disparity Maps
Thomas S. Huang, Nebojsa Jojic, Matthew Turk
MSR-TR-2000-01 | September 1999
IEEE Pre-publication notice. IEEE International Conference on Computer Vision, Corfu, Greece, September, 1999.
-
A Framework For Garment Shopping Over The Internet
Nebojsa Jojic, Yong Rui, Yueting Zhuang, Thomas S. Huang
Handbook on Electronic Commerce
Published by Springer Berlin Heidelberg | May 1999
-
Tracking Articulated Structures in Stereo Image Sequences
Thomas S. Huang, Nebojsa Jojic, Matthew Turk
January 1999
-
Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, 第 14 卷: pp. 3185-3199
-
High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
January 2021
-
Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
1st place in 2020 IEEE GRSS Data Fusion Contest
-
Mining self-similarity: Label super-resolution with epitomic representations
Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic
16th European Conference Computer Vision (ECCV 2020) | August 2020
-
Local Context Normalization: Revisiting Local Normalization
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
CVPR 2020 | June 2020
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The GeoLifeCLEF 2020 Dataset
Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, Dan Morris, Nebojsa Jojic, Pierre Bonnet, Alexis Joly
April 2020
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Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 2020
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Distributed Inference and API Hosting for an Image Analysis Service: A Case Study on Land Cover Mapping
Dan Morris, Patrick Flickinger, Caleb Robinson, Jennifer Marsman, Nebojsa Jojic, Lucas Joppa
AGU Fall Meeting 2019 | December 2019
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Label super-resolution networks
Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic
ICLR 2019 | September 2018
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In The Sight Of My Wearable Camera: Classifying My Visual Experience
Alessandro Perina, Nebojsa Jojic
January 2012
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Stel Component Analysis: Joint Segmentation, Modeling and Recognition of Objects Classes
Alessandro Perina, Nebojsa Jojic, Marco Cristani, Vittorio Murino
International Journal of Computer Vision | January 2012, pp. 1-20
10.1007/s11263-012-0536-5
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Exact Inference And Learning For Cumulative Distribution Functions On Loopy Graphs
Jim Huang, Nebojsa Jojic, Chris Meek
Advances in Neural Information Processing Systems 23 | December 2010
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Combinatorics of The Vaccine Design Problem: Definition and An Algorithm
Darko Kirovski, David Heckerman, Nebojsa Jojic
MSR-TR-2007-148 | November 2007
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Recursive Estimation of Generative Models of Video
Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Jojic, Sumit Basu, Thomas Huang
June 2006
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Escaping Local Minima through Hierarchical Model Selection: Automatic Object Discovery, Segmentation, and Tracking in Video
Nebojsa Jojic, John Winn, Larry Zitnick
Proceedings of IEEE CVPR | January 2006
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Deformable Spectrograms
Manuel Reyes Gomez, Nebojsa Jojic, Daniel Ellis
MSR-TR-2005-79 | June 2005
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LOCUS: Learning Object Classes with Unsupervised Segmentation
Proc. IEEE Intl. Conf. on Computer Vision (ICCV) | January 2005
Proc. IEEE Intl. Conf. on Computer Vision (ICCV)
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Audio-Visual Graphical Models for Speech Processing
Proc. of the Int. Conf. on Acoustics, Speech, and Signal Processing | May 2004
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Home Video Browsing and Consumption Through Exploration of a Learned Generative Model
Nebojsa Jojic, Sumit Basu, Nemanja Petrovic
April 2004
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Joint Design of Data Analysis Algorithms and User Interfaces for Video Applications
Nebojsa Jojic, Sumit Basu, Nemanja Petrovic, Brendan Frey, Thomas Huang
December 2003
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Efficient Approximations for Learning Phylogenetic HMM Models from Data
Vladimir Jojic, Nebojsa Jojic, Chris Meek, Daniel Geiger, Adam Siepel, David Haussler, David Heckerman
MSR-TR-2003-62 | October 2003
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Multi-Label Learning From Single Positive Labels
Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic
May 2021
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Transformed Hidden Markov Models: Estimating Mixture Models and Inferring Spatial Transformations in Video Sequences
Nebojsa Jojic, Nemanja Petrovic, Brendan Frey, Thomas Huang
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on | June 2000
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Detecting and estimating pointing gestures in dense disparity maps
Nebojsa Jojic, Barry Brumitt, Brian Meyers, Steve Harris
Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on | March 2000
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Topographic transformation as a discrete latent variable
Nebojsa Jojic, Brendan Frey
Neural Information Processing Systems (NIPS) | November 1999
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Transformed Component Analysis: Joint Estimation of Spatial Transformations and Image Components
Brendan Frey, Nebojsa Jojic
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on | September 1999
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Automated Acquisition of Cryo Electron Micrographs Using Leginon
Nebojsa Jojic, Bridget Carragher
August 1999
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Computer Modeling, Analysis and Synthesis of Dressed Humans
Nebojsa Jojic, Jin Gu, Thomas S. Huang, Helen Shen
IEEE Transactions on Circuits and Systems for Video Technology | March 1999
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FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang
Eighth International Conference on Learning Representations (ICLR) | April 2020
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Probability Models for High Dynamic Range Imaging
Nebojsa Jojic, Rick Szeliski, Matt Uyttendaele
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'2004)
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Transformation-Invariant Clustering and Linear Component Analysis using the EM Algorithm
Brendan J. Frey, Nebojsa Jojic
IEEE Transactions on Pattern Analysis and Machine Intelligence | November 2000
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Learning Mixture Models of Images and Inferring Spatial Transformations Using the EM algorithm
Brendan Frey, Nebojsa Jojic
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999. | May 1999
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On Analysis of Cloth Drape Range Data
Nebojsa Jojic, Thomas S. Huang
January 1998
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Estimating Cloth Draping Parameters from Range Data
Nebojsa Jojic, Thomas S. Huang
International Workshop on Synthetic-Natural Hybrid Coding and 3-D Imaging | January 1997
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Design, Expression, and Processing of Epitomized Hepatitis C Virus-Encoded CTL Epitopes
Daniel Yerly, David Heckerman, Todd Allen, Todd J. Suscovich, Nebojsa Jojic, Carl Kadie, Werner J. Pichler, Andreas Cerny, Christian Brander
The Journal of Immunology | November 2008, 第 181 卷: pp. 6361-6370
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Comparison Of Immunogen Designs That Optimize Peptide Coverage: Reply To Fischer et al.
David C Nickle, Nebojsa Jojic, David Heckerman, Darko Kirovski, Vladimir Jojic, Morgane Rolland, Sergei Kosakovsky Pond, James I Mullins
PLoS Computational Biology | March 2008, pp. e25
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Learning MHC I – Peptide Binding
Nebojsa Jojic, Manuel Reyes-Gomez, David Heckerman, Carl Kadie, Ora Schueler-Furman
June 2006, 第 22 卷(14): pp. e227-e235
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Joint Discovery Of Haplotype Blocks And Complex Trait Associations From SNP Sequences
Nebojsa Jojic, Vladimir Jojic, David Heckerman
UAI-P-2004-PG-286-292 | July 2004
Symposium on Networked Systems Design and Implemenentation (NSDI)
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Efficient Approximations for Learning Phylogenetic HMM Models from Data
Vladimir Jojic, Nebojsa Jojic, Chris Meek, Daniel Geiger, Adam Siepel, David Haussler, David Heckerman
MSR-TR-2003-62 | October 2003
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Capturing Layers In Image Collections With Componential Models: From The Layered Epitome To The Componential Counting Grid
Alessandro Perina, Nebojsa Jojic
January 2013
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Capturing Layers In Image Collections With Componential Models
Alessandro Perina, Nebojsa Jojic
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) | January 2013
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Browsing Documents on a Dense Embedding that Captures Theme Evolution
Alessandro Perina, Nebojsa Jojic
January 2012
Under Submission
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Spring Lattice Counting Grids: Scene Recognition Using Deformable Positional Constraints
Alessandro Perina, Nebojsa Jojic
European Conference on Computer Vision (ECCV) | January 2012
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Learning Mixtures Of Smooth, Nonuniform Deformation Models For Probabilistic Image Matching
Nebojsa Jojic, Brendan J. Frey, Patrice Simard, David Heckerman
Proceedings of Eighth International Workshop on Artificial Intelligence and Statistics, Key West, FL | May 2001
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Transformation-Invariant Clustering and Linear Component Analysis using the EM Algorithm
Brendan J. Frey, Nebojsa Jojic
IEEE Transactions on Pattern Analysis and Machine Intelligence | November 2000
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Transformed Hidden Markov Models: Estimating Mixture Models and Inferring Spatial Transformations in Video Sequences
Nebojsa Jojic, Nemanja Petrovic, Brendan Frey, Thomas Huang
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on | June 2000
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Detecting and estimating pointing gestures in dense disparity maps
Nebojsa Jojic, Barry Brumitt, Brian Meyers, Steve Harris
Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on | March 2000
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Topographic transformation as a discrete latent variable
Nebojsa Jojic, Brendan Frey
Neural Information Processing Systems (NIPS) | November 1999
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Transformed Component Analysis: Joint Estimation of Spatial Transformations and Image Components
Brendan Frey, Nebojsa Jojic
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on | September 1999
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Tracking Articulated Structures in Stereo Image Sequences
Thomas S. Huang, Nebojsa Jojic, Matthew Turk
January 1999
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3-D Reconstruction Of Multipart Self-Occluding Objects
Nebojsa Jojic, Jin Gu , Helen C. Shen, Thomas Huang
January 1998
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On Analysis of Cloth Drape Range Data
Nebojsa Jojic, Thomas S. Huang
January 1998
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Estimating Cloth Draping Parameters from Range Data
Nebojsa Jojic, Thomas S. Huang
International Workshop on Synthetic-Natural Hybrid Coding and 3-D Imaging | January 1997
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Make Some Noise: Towards LLM audio reasoning and generation using sound tokens
Shivam Mehta, Nebojsa Jojic, Hannes Gamper
2025 International Conference on Acoustics, Speech, and Signal Processing | April 2025
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Fast constrained sampling in pre-trained diffusion models
Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras
NeurIPS 2025 | October 2024
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Player-Driven Emergence in LLM-Driven Game Narrative
Xiangyu Peng, Jessica Quaye, Sudha Rao, Weijia Xu, Portia Botchway, Chris Brockett, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge J. G. Leandro, Claire Jin, Bill Dolan
IEEE Conference on Games 2024 | August 2024
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GENEVA: GENErating and Visualizing branching narratives using LLMs
Jorge J. G. Leandro (jorgeleandro), Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan
IEEE Conference on Games 2024 | August 2024
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PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu
ICLR 2024 | October 2023
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Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
NeurIPS 2023 | October 2023
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Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic
ICML 2024 | May 2023
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Investigating Agency of LLMs in Human-AI Collaboration Tasks
Ashish Sharma, Sudha Rao, Chris Brockett, Akanksha Malhotra, Nebojsa Jojic, Bill Dolan
2023 Conference of the European Chapter of the Association for Computational Linguistics | May 2023
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Coherence boosting: When your pretrained language model is not paying enough attention
Nikolay Malkin, Zhen Wang, Nebojsa Jojic
ACL 2022 | May 2022
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Studying word order through iterative shuffling
Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic
2021 Empirical Methods in Natural Language Processing | September 2021
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GPT Perdetry Test: Generating new meanings for new words
Nikolay Malkin, Sameera Lanka, Pranav Goel, Sudha Rao, Nebojsa Jojic
North American Chapter of the Association for Computational Linguistics: Human Language Technologies | June 2021
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Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
1st place in 2020 IEEE GRSS Data Fusion Contest
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Mining self-similarity: Label super-resolution with epitomic representations
Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic
16th European Conference Computer Vision (ECCV 2020) | August 2020
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Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context
Shashank Srivastava, Alex Polozov, Nebojsa Jojic, Chris Meek
Association for Computational Linguistics | June 2020
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Local Context Normalization: Revisiting Local Normalization
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
CVPR 2020 | June 2020
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Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 2020
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FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang
Eighth International Conference on Learning Representations (ICLR) | April 2020
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Distributed Inference and API Hosting for an Image Analysis Service: A Case Study on Land Cover Mapping
Dan Morris, Patrick Flickinger, Caleb Robinson, Jennifer Marsman, Nebojsa Jojic, Lucas Joppa
AGU Fall Meeting 2019 | December 2019
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Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao
Thirty-third Conference on Neural Information Processing Systems (NeurIPS) 2019 | December 2019
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Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
CVPR 2019 | May 2019
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Label super-resolution networks
Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic
ICLR 2019 | September 2018
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Iterative Refinement of the Approximate Posterior for Directed Belief Networks
R. Devon Hjelm, Kyunghyun Cho, Junyoung Chung, Russ Salakhutdinov, Vince Calhoun, Nebojsa Jojic
October 2016
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Capturing Layers In Image Collections With Componential Models: From The Layered Epitome To The Componential Counting Grid
Alessandro Perina, Nebojsa Jojic
January 2013
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Capturing Layers In Image Collections With Componential Models
Alessandro Perina, Nebojsa Jojic
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) | January 2013
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In The Sight Of My Wearable Camera: Classifying My Visual Experience
Alessandro Perina, Nebojsa Jojic
January 2012
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Spring Lattice Counting Grids: Scene Recognition Using Deformable Positional Constraints
Alessandro Perina, Nebojsa Jojic
European Conference on Computer Vision (ECCV) | January 2012
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Exact Inference And Learning For Cumulative Distribution Functions On Loopy Graphs
Jim Huang, Nebojsa Jojic, Chris Meek
Advances in Neural Information Processing Systems 23 | December 2010
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Recursive Estimation of Generative Models of Video
Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Jojic, Sumit Basu, Thomas Huang
June 2006
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Escaping Local Minima through Hierarchical Model Selection: Automatic Object Discovery, Segmentation, and Tracking in Video
Nebojsa Jojic, John Winn, Larry Zitnick
Proceedings of IEEE CVPR | January 2006
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Using Epitomes To Model Genetic Diversity: Rational Design Of HIV Vaccines
Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Chris Meek, David Heckerman
NIPS | May 2005
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LOCUS: Learning Object Classes with Unsupervised Segmentation
Proc. IEEE Intl. Conf. on Computer Vision (ICCV) | January 2005
Proc. IEEE Intl. Conf. on Computer Vision (ICCV)
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Audio-Visual Graphical Models for Speech Processing
Proc. of the Int. Conf. on Acoustics, Speech, and Signal Processing | May 2004
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Home Video Browsing and Consumption Through Exploration of a Learned Generative Model
Nebojsa Jojic, Sumit Basu, Nemanja Petrovic
April 2004
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Joint Design of Data Analysis Algorithms and User Interfaces for Video Applications
Nebojsa Jojic, Sumit Basu, Nemanja Petrovic, Brendan Frey, Thomas Huang
December 2003
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Probability Models for High Dynamic Range Imaging
Nebojsa Jojic, Rick Szeliski, Matt Uyttendaele
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'2004)
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Automated Acquisition of Cryo Electron Micrographs Using Leginon
Nebojsa Jojic, Bridget Carragher
August 1999
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Learning Mixture Models of Images and Inferring Spatial Transformations Using the EM algorithm
Brendan Frey, Nebojsa Jojic
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999. | May 1999
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Computer Modeling, Analysis and Synthesis of Dressed Humans
Nebojsa Jojic, Jin Gu, Thomas S. Huang, Helen Shen
IEEE Transactions on Circuits and Systems for Video Technology | March 1999
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Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs
Weijia Xu, Nebojsa Jojic, Sudha Rao, Chris Brockett, Bill Dolan
Proceedings of the National Academy of Sciences of the United States of America | August 2025
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2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good
Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic
IEEE Geoscience and Remote Sensing Magazine | March 2021, 第 9 卷(1): pp. 287-C3
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Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, 第 14 卷: pp. 3185-3199
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A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
Methods in Ecology and Evolution | December 2020, 第 12 卷(1): pp. 150-161
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Stel Component Analysis: Joint Segmentation, Modeling and Recognition of Objects Classes
Alessandro Perina, Nebojsa Jojic, Marco Cristani, Vittorio Murino
International Journal of Computer Vision | January 2012, pp. 1-20
10.1007/s11263-012-0536-5
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Design, Expression, and Processing of Epitomized Hepatitis C Virus-Encoded CTL Epitopes
Daniel Yerly, David Heckerman, Todd Allen, Todd J. Suscovich, Nebojsa Jojic, Carl Kadie, Werner J. Pichler, Andreas Cerny, Christian Brander
The Journal of Immunology | November 2008, 第 181 卷: pp. 6361-6370
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Comparison Of Immunogen Designs That Optimize Peptide Coverage: Reply To Fischer et al.
David C Nickle, Nebojsa Jojic, David Heckerman, Darko Kirovski, Vladimir Jojic, Morgane Rolland, Sergei Kosakovsky Pond, James I Mullins
PLoS Computational Biology | March 2008, pp. e25
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Learning MHC I – Peptide Binding
Nebojsa Jojic, Manuel Reyes-Gomez, David Heckerman, Carl Kadie, Ora Schueler-Furman
June 2006, 第 22 卷(14): pp. e227-e235
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fLSA: Learning Semantic Structures in Document Collections Using Foundation Models
Weijia Xu, Nebojsa Jojic, Nicolas Le Roux
October 2024
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The GeoLifeCLEF 2020 Dataset
Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, Dan Morris, Nebojsa Jojic, Pierre Bonnet, Alexis Joly
April 2020
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Multi-Label Learning From Single Positive Labels
Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic
May 2021
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High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
January 2021
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Browsing Documents on a Dense Embedding that Captures Theme Evolution
Alessandro Perina, Nebojsa Jojic
January 2012
Under Submission
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A Framework For Garment Shopping Over The Internet
Nebojsa Jojic, Yong Rui, Yueting Zhuang, Thomas S. Huang
Handbook on Electronic Commerce
Published by Springer Berlin Heidelberg | May 1999
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Tracking Self-Occluding Articulated Objects in Dense Disparity Maps
Thomas S. Huang, Nebojsa Jojic, Matthew Turk
MSR-TR-2000-01 | September 1999
IEEE Pre-publication notice. IEEE International Conference on Computer Vision, Corfu, Greece, September, 1999.
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Combinatorics of The Vaccine Design Problem: Definition and An Algorithm
Darko Kirovski, David Heckerman, Nebojsa Jojic
MSR-TR-2007-148 | November 2007
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Deformable Spectrograms
Manuel Reyes Gomez, Nebojsa Jojic, Daniel Ellis
MSR-TR-2005-79 | June 2005
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Joint Discovery Of Haplotype Blocks And Complex Trait Associations From SNP Sequences
Nebojsa Jojic, Vladimir Jojic, David Heckerman
UAI-P-2004-PG-286-292 | July 2004
Symposium on Networked Systems Design and Implemenentation (NSDI)
-
Efficient Approximations for Learning Phylogenetic HMM Models from Data
Vladimir Jojic, Nebojsa Jojic, Chris Meek, Daniel Geiger, Adam Siepel, David Haussler, David Heckerman
MSR-TR-2003-62 | October 2003
-