Kapoor, Ashish

59 publications

WACV 2024 EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta

ICML 2023 ClimaX: A Foundation Model for Weather and Climate Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K Gupta, Aditya Grover

ICMLW 2023 ClimaX: A Foundation Model for Weather and Climate Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K Gupta, Aditya Grover

ICCV 2023 Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma

ICLR 2023 SMART: Self-Supervised Multi-Task pretrAining with contRol Transformers Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor

NeurIPS 2022 3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry

CLeaR 2022 CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Alexander Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor

NeurIPSW 2022 LATTE: LAnguage Trajectory TransformEr A Fender Coelho Bucker, Luis Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti

NeurIPS 2022 Learning Modular Simulations for Homogeneous Systems Jayesh Gupta, Sai Vemprala, Ashish Kapoor

NeurIPSW 2022 PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pretraining Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Vieira Frujeri, Shuhang Chen, Ashish Kapoor

NeurIPSW 2022 SMART: Self-Supervised Multi-Task pretrAining with contRol Transformers Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor

ICML 2021 Quantum Algorithms for Reinforcement Learning with a Generative Model Daochen Wang, Aarthi Sundaram, Robin Kothari, Ashish Kapoor, Martin Roetteler

NeurIPS 2021 Representation Learning for Event-Based Visuomotor Policies Sai Vemprala, Sami Mian, Ashish Kapoor

NeurIPS 2021 Unadversarial Examples: Designing Objects for Robust Vision Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor

WACV 2020 BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe

NeurIPS 2020 Denoised Smoothing: A Provable Defense for Pretrained Classifiers Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter

NeurIPS 2020 Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry

NeurIPS 2020 Multi-Robot Collision Avoidance Under Uncertainty with Probabilistic Safety Barrier Certificates Wenhao Luo, Wen Sun, Ashish Kapoor

WACV 2020 Synthetic Examples Improve Generalization for Rare Classes Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Neel Joshi, Markus Meister, Pietro Perona

NeurIPS 2019 Bias Correction of Learned Generative Models Using Likelihood-Free Importance Weighting Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric J Horvitz, Stefano Ermon

ICLRW 2019 Bias Correction of Learned Generative Models via Likelihood-Free Importance Weighting Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon

NeurIPS 2019 Characterizing Bias in Classifiers Using Generative Models Daniel McDuff, Shuang Ma, Yale Song, Ashish Kapoor

ICLR 2019 Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards Daniel McDuff, Ashish Kapoor

ECCV 2018 Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges

IJCAI 2018 Near Real-Time Detection of Poachers from Drones in AirSim Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe

ICML 2017 Safety-Aware Algorithms for Adversarial Contextual Bandit Wen Sun, Debadeepta Dey, Ashish Kapoor

ICCV 2017 Submodular Trajectory Optimization for Aerial 3D Scanning Mike Roberts, Debadeepta Dey, Anh Truong, Sudipta Sinha, Shital Shah, Ashish Kapoor, Pat Hanrahan, Neel Joshi

NeurIPS 2016 Quantum Perceptron Models Ashish Kapoor, Nathan Wiebe, Krysta Svore

ICML 2015 On Greedy Maximization of Entropy Dravyansh Sharma, Ashish Kapoor, Amit Deshpande

AAAI 2014 Active Learning with Model Selection Alnur Ali, Rich Caruana, Ashish Kapoor

CVPR 2014 Blind Image Quality Assessment Using Semi-Supervised Rectifier Networks Huixuan Tang, Neel Joshi, Ashish Kapoor

ICCV 2013 Active Visual Recognition with Expertise Estimation in Crowdsourcing Chengjiang Long, Gang Hua, Ashish Kapoor

IJCAI 2013 Lifelong Learning for Acquiring the Wisdom of the Crowd Ece Kamar, Ashish Kapoor, Eric Horvitz

ECCV 2012 Context-Based Automatic Local Image Enhancement Sung Ju Hwang, Ashish Kapoor, Sing Bing Kang

AAAI 2012 Learning to Learn: Algorithmic Inspirations from Human Problem Solving Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric Horvitz

CVPR 2012 Memory Constrained Face Recognition Ashish Kapoor, Simon Baker, Sumit Basu, Eric Horvitz

NeurIPS 2012 Multilabel Classification Using Bayesian Compressed Sensing Ashish Kapoor, Raajay Viswanathan, Prateek Jain

AAAI 2012 Performance and Preferences: Interactive Refinement of Machine Learning Procedures Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric Horvitz

JAIR 2012 Riffled Independence for Efficient Inference with Partial Rankings Jonathan Huang, Ashish Kapoor, Carlos Guestrin

IJCAI 2011 Active Graph Reachability Reduction for Network Security and Software Engineering Alice X. Zheng, John Dunagan, Ashish Kapoor

CVPR 2011 Collaborative Personalization of Image Enhancement Juan C. Caicedo, Ashish Kapoor, Sing Bing Kang

AAAI 2011 Effective End-User Interaction with Machine Learning Saleema Amershi, James Fogarty, Ashish Kapoor, Desney S. Tan

UAI 2011 Efficient Probabilistic Inference with Partial Ranking Queries Jonathan Huang, Ashish Kapoor, Carlos Guestrin

IJCAI 2011 Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian

CVPR 2011 Learning a Blind Measure of Perceptual Image Quality Huixuan Tang, Neel Joshi, Ashish Kapoor

IJCAI 2011 Using Multiple Models to Understand Data Kayur Patel, Steven Mark Drucker, James Fogarty, Ashish Kapoor, Desney S. Tan

ECCV 2010 Joint People, Event, and Location Recognition in Personal Photo Collections Using Cross-Domain Context Dahua Lin, Ashish Kapoor, Gang Hua, Simon Baker

CVPR 2010 Personalization of Image Enhancement Sing Bing Kang, Ashish Kapoor, Dani Lischinski

CVPR 2010 Visual Recognition and Detection Under Bounded Computational Resources Sudheendra Vijayanarasimhan, Ashish Kapoor

CVPR 2009 Active Learning for Large Multi-Class Problems Prateek Jain, Ashish Kapoor

NeurIPS 2009 Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition Ashish Kapoor, Eric Horvitz

CVPR 2009 Co-Training with Noisy Perceptual Observations C. Mario Christoudias, Raquel Urtasun, Ashish Kapoor, Trevor Darrell

ICCV 2009 Which Faces to Tag: Adding Prior Constraints into Active Learning Ashish Kapoor, Gang Hua, Amir Akbarzadeh, Simon Baker

CVPR 2008 Combining Brain Computer Interfaces with Vision for Object Categorization Ashish Kapoor, Pradeep Shenoy, Desney S. Tan

ICCV 2007 Active Learning with Gaussian Processes for Object Categorization Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell

UAI 2007 On Discarding, Caching, and Recalling Samples in Active Learning Ashish Kapoor, Eric Horvitz

IJCAI 2007 Selective Supervision: Guiding Supervised Learning with Decision-Theoretic Active Learning Ashish Kapoor, Eric Horvitz, Sumit Basu

ECCV 2006 Located Hidden Random Fields: Learning Discriminative Parts for Object Detection Ashish Kapoor, John M. Winn

NeurIPS 2005 Hyperparameter and Kernel Learning for Graph Based Semi-Supervised Classification Ashish Kapoor, Hyungil Ahn, Yuan Qi, Rosalind W. Picard