Christopher J. Pal

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 71

Top Topics

Reinforcement Learning

Top Venues

Publications

Arantxa Casanova, Marlène Careil, Adriana Romero-Soriano, Christopher J. Pal, Jakob Verbeek, Michal Drozdzal
Controllable Image Generation via Collage Representations. CoRR (2023)
Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher J. Pal
Challenges in leveraging GANs for few-shot data augmentation. CoRR (2022)
Julien Roy, Roger Girgis, Joshua Romoff, Pierre-Luc Bacon, Christopher J. Pal
Direct Behavior Specification via Constrained Reinforcement Learning. ICML (2022)
Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo J. Rezende, Yoshua Bengio, Michael Mozer, Christopher J. Pal
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. CoRR (2021)
Yann Bouteiller, Simon Ramstedt, Giovanni Beltrame, Christopher J. Pal, Jonathan Binas
Reinforcement Learning with Random Delays. ICLR (2021)
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David Buckeridge, Gaétan Marceau-Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher J. Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
Predicting Infectiousness for Proactive Contact Tracing. ICLR (2021)
Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR (2021)
Vikram Voleti, Chris Finlay, Adam M. Oberman, Christopher J. Pal
Multi-Resolution Continuous Normalizing Flows. CoRR (2021)
Paul Barde, Tristan Karch, Derek Nowrouzezahrai, Clément Moulin-Frier, Christopher J. Pal, Pierre-Yves Oudeyer
Learning to Guide and to Be Guided in the Architect-Builder Problem. CoRR (2021)
Jonathan Pilault, Amine Elhattami, Christopher J. Pal
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data. ICLR (2021)
Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai, Christopher J. Pal
Robust Motion In-betweening. CoRR (2021)
Roger Girgis, Florian Golemo, Felipe Codevilla, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher J. Pal
Latent Variable Nested Set Transformers & AutoBots. CoRR (2021)
Julien Roy, Roger Girgis, Joshua Romoff, Pierre-Luc Bacon, Christopher J. Pal
Direct Behavior Specification via Constrained Reinforcement Learning. CoRR (2021)
Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Christopher J. Pal, Derek Nowrouzezahrai
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. CoRR (2020)
Yi Xiao, Felipe Codevilla, Christopher J. Pal, Antonio M. López
Action-Based Representation Learning for Autonomous Driving. CoRR (2020)
Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal
Reinforced active learning for image segmentation. CoRR (2020)
Mohamed Hamza Ibrahim, Christopher J. Pal, Gilles Pesant
Leveraging cluster backbones for improving MAP inference in statistical relational models. Ann. Math. Artif. Intell. 88 (8) (2020)
Md. Kamrul Hasan, Christopher J. Pal
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation. ACM Trans. Knowl. Discov. Data 14 (1) (2020)
Jonathan Pilault, Jaehong Park, Christopher J. Pal
On the impressive performance of randomly weighted encoders in summarization tasks. CoRR (2020)
Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Christopher J. Pal, Liam Paull
Curriculum in Gradient-Based Meta-Reinforcement Learning. CoRR (2020)
Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. ICLR (2020)
Jonathan Pilault, Amine Elhattami, Christopher J. Pal
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data. CoRR (2020)
Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Christopher J. Pal
Exploring Structural Inductive Biases in Emergent Communication. CoRR (2020)
Yi Xiao, Felipe Codevilla, Christopher J. Pal, Antonio Lopez
Action-based Representation Learning for Autonomous Driving. CoRL (2020)
Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. CoRR (2020)
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. ICLR (2020)
Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal
CLAREL: Classification via retrieval loss for zero-shot learning. CVPR Workshops (2020)
Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. ICML (2020)
Simon Ramstedt, Yann Bouteiller, Giovanni Beltrame, Christopher J. Pal, Jonathan Binas
Reinforcement Learning with Random Delays. CoRR (2020)
Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai, Christopher J. Pal
Robust motion in-betweening. ACM Trans. Graph. 39 (4) (2020)
Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal
Reinforced active learning for image segmentation. ICLR (2020)
Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher J. Pal
Structure Learning for Neural Module Networks. CoRR (2019)
Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. CoRR (2019)
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio, Adam Trischler
Interactive Language Learning by Question Answering. CoRR (2019)
Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher J. Pal
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models. CoRR (2019)
Simon Guiroy, Vikas Verma, Christopher J. Pal
Towards Understanding Generalization in Gradient-Based Meta-Learning. CoRR (2019)
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. CoRR (2019)
Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn
Neural Multisensory Scene Inference. CoRR (2019)
Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar
Dataflow-Based Joint Quantization for Deep Neural Networks. DCC (2019)
Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull
Active Domain Randomization. CoRR (2019)
Chinnadhurai Sankar, Sandeep Subramanian, Christopher J. Pal, Sarath Chandar, Yoshua Bengio
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. CoRR (2019)
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher J. Pal, Adam Trischler
Interactive Machine Comprehension with Information Seeking Agents. CoRR (2019)
Glen Berseth, Christopher J. Pal
Visual Imitation Learning with Recurrent Siamese Networks. CoRR (2019)
Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal
Fine-grained zero-shot recognition with metric rescaling. CoRR (2019)
Evan Racah, Christopher J. Pal
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments. CoRR (2019)
Vardaan Pahuja, Jie Fu, Christopher J. Pal
Learning Sparse Mixture of Experts for Visual Question Answering. CoRR (2019)
Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. CoRR (2019)
Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal
Adversarial Mixup Resynthesizers. DGS@ICLR (2019)
Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal
Adversarial Mixup Resynthesizers. CoRR (2019)
Simon Ramstedt, Christopher J. Pal
Real-Time Reinforcement Learning. CoRR (2019)
Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull
Active Domain Randomization. CoRL (2019)
Paul Barde, Julien Roy, Félix G. Harvey, Derek Nowrouzezahrai, Christopher J. Pal
Promoting Coordination through Policy Regularization in Multi-Agent Reinforcement Learning. CoRR (2019)
William E. Thong, Samuel Kadoury, Nicolas Piché, Christopher J. Pal
Convolutional networks for kidney segmentation in contrast-enhanced CT scans. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6 (3) (2018)
Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. ICLR (Poster) (2018)
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher J. Pal
Focused Hierarchical RNNs for Conditional Sequence Processing. ICML (2018)
Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal
Deep Complex Networks. ICLR (Poster) (2018)
Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. CoRR (2018)
Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte, Sina Honari, Christopher J. Pal
Unsupervised Depth Estimation, 3D Face Rotation and Replacement. CoRR (2018)
Félix G. Harvey, Christopher J. Pal
Recurrent transition networks for character locomotion. SIGGRAPH Asia Technical Briefs (2018)
Félix G. Harvey, Christopher J. Pal
Recurrent Transition Networks for Character Locomotion. CoRR (2018)
Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher J. Pal, Jan Kautz
Improving Landmark Localization With Semi-Supervised Learning. CVPR (2018)
Chiheb Trabelsi, Olexa Bilaniuk, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal
Deep Complex Networks. CoRR (2017)
Eugene Vorontsov, An Tang, David Roy, Christopher J. Pal, Samuel Kadoury
Metastatic liver tumour segmentation with a neural network-guided 3D deformable model. Medical Biol. Eng. Comput. 55 (1) (2017)
David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Aaron C. Courville, Christopher J. Pal
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. ICLR (Poster) (2017)
Christopher Beckham, Christopher J. Pal
Unimodal Probability Distributions for Deep Ordinal Classification. ICML (2017)
David Rim, Sina Honari, Md. Kamrul Hasan, Christopher J. Pal
Improving facial analysis and performance driven animation through disentangling identity and expression. Image Vis. Comput. 52 (2016)
Anna Rohrbach, Atousa Torabi, Marcus Rohrbach, Niket Tandon, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville, Bernt Schiele
Movie Description. CoRR (2016)
Christopher Beckham, Christopher J. Pal
A simple squared-error reformulation for ordinal classification. CoRR (2016)
Joel Moniz, Christopher J. Pal
Convolutional Residual Memory Networks. CoRR (2016)
Evan Racah, Christopher Beckham, Tegan Maharaj, Prabhat, Christopher J. Pal
Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets. CoRR (2016)
Sina Honari, Jason Yosinski, Pascal Vincent, Christopher J. Pal
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation. CVPR (2016)
Sina Honari, Jason Yosinski, Pascal Vincent, Christopher J. Pal
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation. CoRR (2015)
Md. Kamrul Hasan, Christopher J. Pal
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation. CoRR (2015)
David Rim, Md. Kamrul Hasan, Fannie Puech, Christopher J. Pal
Learning from weakly labeled faces and video in the wild. Pattern Recognit. 48 (3) (2015)
Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville
Describing Videos by Exploiting Temporal Structure. ICCV (2015)
Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Çaglar Gülçehre, Vincent Michalski, Kishore Reddy Konda, Sébastien Jean, Pierre Froumenty, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Raul Chandias Ferrari, Mehdi Mirza, David Warde-Farley, Aaron C. Courville, Pascal Vincent, Roland Memisevic, Christopher J. Pal, Yoshua Bengio
EmoNets: Multimodal deep learning approaches for emotion recognition in video. CoRR (2015)
Félix G. Harvey, Christopher J. Pal
Semi-supervised Learning with Encoder-Decoder Recurrent Neural Networks: Experiments with Motion Capture Sequences. CoRR (2015)
Mohamed Hamza Ibrahim, Christopher J. Pal, Gilles Pesant
Exploiting Determinism to Scale Relational Inference. AAAI (2015)
Atousa Torabi, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville
Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research. CoRR (2015)
Chetan Bhole, Christopher J. Pal, David Rim, Axel Wismüller
3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning. Mach. Vis. Appl. 25 (2) (2014)
Samira Ebrahimi Kahou, Pierre Froumenty, Christopher J. Pal
Facial Expression Analysis Based on High Dimensional Binary Features. ECCV Workshops (2) (2014)
Md. Kamrul Hasan, Christopher J. Pal, Sharon Moalem
Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models. ICCV Workshops (2013)
Samira Ebrahimi Kahou, Christopher J. Pal, Xavier Bouthillier, Pierre Froumenty, Çaglar Gülçehre, Roland Memisevic, Pascal Vincent, Aaron C. Courville, Yoshua Bengio, Raul Chandias Ferrari, Mehdi Mirza, Sébastien Jean, Pierre Luc Carrier, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Abhishek Aggarwal, Jeremie Zumer, Pascal Lamblin, Jean-Philippe Raymond, Guillaume Desjardins, Razvan Pascanu, David Warde-Farley, Atousa Torabi, Arjun Sharma, Emmanuel Bengio, Kishore Reddy Konda, Zhenzhou Wu
Combining modality specific deep neural networks for emotion recognition in video. ICMI (2013)
Chetan Bhole, Christopher J. Pal
Automated person segmentation in videos. ICPR (2012)
Christopher J. Pal, Jerod J. Weinman, Lam C. Tran, Daniel Scharstein
On Learning Conditional Random Fields for Stereo - Exploring Model Structures and Approximate Inference. Int. J. Comput. Vis. 99 (3) (2012)
Lam C. Tran, Ramsin Khoshabeh, Ankit K. Jain, Christopher J. Pal, Truong Q. Nguyen
Spatially consistent view synthesis with coordinate alignment. ICASSP (2011)
Chetan Bhole, Nicholas Morsillo, Christopher J. Pal
3D Segmentation in CT Imagery with Conditional Random Fields and Histograms of Oriented Gradients. MLMI (2011)
Md. Kamrul Hasan, Christopher J. Pal
Improving alignment of faces for recognition. ROSE (2011)
Bin Wei, Christopher J. Pal
Heterogeneous Transfer Learning with RBMs. AAAI (2011)
David Rim, Kamrul Hassan, Christopher J. Pal
Semi Supervised Learning for Wild Faces and Video. BMVC (2011)
Bin Wei, Christopher J. Pal
Cross Lingual Adaptation: An Experiment on Sentiment Classifications. ACL (2) (2010)
Lam C. Tran, Christopher J. Pal, Truong Q. Nguyen
View synthesis based on Conditional Random Fields and graph cuts. ICIP (2010)
Ross Messing, Christopher J. Pal
Behavior Recognition in Video with Extended Models of Feature Velocity Dynamics. AAAI Spring Symposium: Human Behavior Modeling (2009)
Ross Messing, Christopher J. Pal, Henry A. Kautz
Activity recognition using the velocity histories of tracked keypoints. ICCV (2009)
Nicholas Morsillo, Christopher J. Pal, Randal Nelson
Semi-Supervised Learning of Visual Classifiers from Web Images and Text. IJCAI (2009)
Jerod J. Weinman, Lam C. Tran, Christopher J. Pal
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing. ECCV (1) (2008)
Sarah Dorner, Christopher J. Pal
Case Libraries and Information Theoretic Case Matching for Soil and Water Resources Management. ISESS (1999)