Pal, Chris

31 publications

NeurIPS 2023 Are Diffusion Models Vision-and-Language Reasoners? Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Chris Pal, Siva Reddy

NeurIPS 2023 Block-State Transformers Jonathan Pilault, Mahan Fathi, Orhan Firat, Chris Pal, Pierre-Luc Bacon, Ross Goroshin

NeurIPS 2023 Parallel-Mentoring for Offline Model-Based Optimization Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Chris Pal

NeurIPS 2022 Attention-Based Neural Cellular Automata Mattie Tesfaldet, Derek Nowrouzezahrai, Chris Pal

NeurIPS 2022 MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation Vikram Voleti, Alexia Jolicoeur-Martineau, Chris Pal

NeurIPS 2022 Neural Attentive Circuits Martin Weiss, Nasim Rahaman, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Erran Li Li, Nicolas Ballas

NeurIPS 2020 Adversarial Soft Advantage Fitting: Imitation Learning Without Policy Optimization Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Chris Pal, Derek Nowrouzezahrai

NeurIPS 2020 Measuring Systematic Generalization in Neural Proof Generation with Transformers Nicolas Gontier, Koustuv Sinha, Siva Reddy, Chris Pal

NeurIPS 2020 Promoting Coordination Through Policy Regularization in Multi-Agent Deep Reinforcement Learning Julien Roy, Paul Barde, Félix Harvey, Derek Nowrouzezahrai, Chris Pal

AAAI 2020 Revision in Continuous Space: Unsupervised Text Style Transfer Without Adversarial Learning Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv

ICLR 2020 Role-Wise Data Augmentation for Knowledge Distillation Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong

CoRL 2019 Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira E. Kahou, Joseph P. Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal

NeurIPS 2019 Neural Multisensory Scene Inference Jae Hyun Lim, Pedro O O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn

NeurIPS 2019 On Adversarial Mixup Resynthesis Christopher Beckham, Sina Honari, Vikas Verma, Alex M Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio, Chris Pal

ICLR 2019 Probabilistic Planning with Sequential Monte Carlo Methods Alexandre Piche, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio, Chris Pal

NeurIPS 2019 Real-Time Reinforcement Learning Simon Ramstedt, Chris Pal

NeurIPS 2018 Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding Nan Rosemary Ke, Anirudh Goyal ALIAS PARTH Goyal, Olexa Bilaniuk, Jonathan Binas, Michael Mozer, Chris Pal, Yoshua Bengio

NeurIPS 2018 Towards Deep Conversational Recommendations Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal

NeurIPS 2018 Towards Text Generation with Adversarially Learned Neural Outlines Sandeep Subramanian, Sai Rajeswar Mudumba, Alessandro Sordoni, Adam Trischler, Aaron C. Courville, Chris Pal

ICLR 2018 Twin Networks: Matching the Future for Sequence Generation Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal, Yoshua Bengio

NeurIPS 2018 Unsupervised Depth Estimation, 3D Face Rotation and Replacement Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte, Sina Honari, Chris Pal

NeurIPS 2017 ExtremeWeather: A Large-Scale Climate Dataset for Semi-Supervised Detection, Localization, and Understanding of Extreme Weather Events Evan Racah, Christopher Beckham, Tegan Maharaj, Samira Ebrahimi Kahou, Mr. Prabhat, Chris Pal

ICML 2017 On Orthogonality and Learning Recurrent Networks with Long Term Dependencies Eugene Vorontsov, Chiheb Trabelsi, Samuel Kadoury, Chris Pal

ICLR 2016 Delving Deeper into Convolutional Networks for Learning Video Representations Nicolas Ballas, Li Yao, Chris Pal, Aaron C. Courville

IJCAI 2007 Improving Author Coreference by Resource-Bounded Information Gathering from the Web Pallika H. Kanani, Andrew McCallum, Chris Pal

CVPR 2007 Learning Conditional Random Fields for Stereo Daniel Scharstein, Chris Pal

AAAI 2006 Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification Andrew McCallum, Chris Pal, Gregory Druck, Xuerui Wang

ICCV 2005 Efficiently Registering Video into Panoramic Mosaics Drew Steedly, Chris Pal, Richard Szeliski

CVPR 2005 Interactive Montages of Sprites for Indexing and Summarizing Security Video Chris Pal, Nebojsa Jojic

CVPR 2004 Probability Models for High Dynamic Range Imaging Chris Pal, Richard Szeliski, Matthew Uyttendaele, Nebojsa Jojic

ECCV 2002 Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance Chris Pal, Brendan J. Frey, Nebojsa Jojic