Christopher J. Pal

102 papers A* 17A 1B 4Misc 3Journal 61Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Abstract: Würstchen - An Efficient Architecture for Large-scale Text-to-image Diffusion Models. Bildverarbeitung für die Medizin Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher J. Pal, Marc Aubreville
2025	J	`jnl`	AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories. CoRR Xing Han Lù, Amirhossein Kazemnejad, Nicholas Meade, Arkil Patel, Dongchan Shin, Alejandra Zambrano, Karolina Stanczak, Peter Shaw, Christopher J. Pal, Siva Reddy
2025	J	`jnl`	Reducing Hallucinations in Language Model-based SPARQL Query Generation Using Post-Generation Memory Retrieval. CoRR Aditya Sharma, Luis Lara, Amal Zouaq, Christopher J. Pal
2024	J	`jnl`	GeoCoder: Solving Geometry Problems by Generating Modular Code through Vision-Language Models. CoRR Aditya Sharma, Aman Dalmia, Mehran Kazemi, Amal Zouaq, Christopher J. Pal
2023	J	`jnl`	Controllable Image Generation via Collage Representations. CoRR Arantxa Casanova, Marlène Careil, Adriana Romero-Soriano, Christopher J. Pal, Jakob Verbeek, Michal Drozdzal
2022	J	`jnl`	Challenges in leveraging GANs for few-shot data augmentation. CoRR Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher J. Pal
2022	A*	`conf`	Direct Behavior Specification via Constrained Reinforcement Learning. ICML Julien Roy, Roger Girgis, Joshua Romoff, Pierre-Luc Bacon, Christopher J. Pal
2021	A*	`conf`	Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data. ICLR Jonathan Pilault, Amine Elhattami, Christopher J. Pal
2021	J	`jnl`	Direct Behavior Specification via Constrained Reinforcement Learning. CoRR Julien Roy, Roger Girgis, Joshua Romoff, Pierre-Luc Bacon, Christopher J. Pal
2021	J	`jnl`	From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR 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
2021	J	`jnl`	Latent Variable Nested Set Transformers & AutoBots. CoRR Roger Girgis, Florian Golemo, Felipe Codevilla, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher J. Pal
2021	J	`jnl`	Learning to Guide and to Be Guided in the Architect-Builder Problem. CoRR Paul Barde, Tristan Karch, Derek Nowrouzezahrai, Clément Moulin-Frier, Christopher J. Pal, Pierre-Yves Oudeyer
2021	J	`jnl`	Multi-Resolution Continuous Normalizing Flows. CoRR Vikram Voleti, Chris Finlay, Adam M. Oberman, Christopher J. Pal
2021	A*	`conf`	Predicting Infectiousness for Proactive Contact Tracing. ICLR 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 L. 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
2021	A*	`conf`	Reinforcement Learning with Random Delays. ICLR Yann Bouteiller, Simon Ramstedt, Giovanni Beltrame, Christopher J. Pal, Jonathan Binas
2021	J	`jnl`	Robust Motion In-betweening. CoRR Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai, Christopher J. Pal
2021	J	`jnl`	Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. CoRR Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo J. Rezende, Yoshua Bengio, Michael Mozer, Christopher J. Pal
2020	A*	`conf`	A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. ICLR Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal
2020	J	`jnl`	A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation. ACM Trans. Knowl. Discov. Data Md. Kamrul Hasan, Christopher J. Pal
2020	A*	`conf`	AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. ICML Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang
2020	J	`jnl`	AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. CoRR Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang
2020	J	`jnl`	Action-Based Representation Learning for Autonomous Driving. CoRR Yi Xiao, Felipe Codevilla, Christopher J. Pal, Antonio M. López
2020	Misc	`conf`	Action-based Representation Learning for Autonomous Driving. CoRL Yi Xiao, Felipe Codevilla, Christopher J. Pal, Antonio M. López
2020	J	`jnl`	Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. CoRR Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Christopher J. Pal, Derek Nowrouzezahrai
2020	—	`conf`	CLAREL: Classification via retrieval loss for zero-shot learning. CVPR Workshops Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal
2020	J	`jnl`	Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data. CoRR Jonathan Pilault, Amine Elhattami, Christopher J. Pal
2020	J	`jnl`	Curriculum in Gradient-Based Meta-Reinforcement Learning. CoRR Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Christopher J. Pal, Liam Paull
2020	J	`jnl`	Exploring Structural Inductive Biases in Emergent Communication. CoRR Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Christopher J. Pal
2020	A*	`conf`	Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. ICLR Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal
2020	J	`jnl`	Leveraging cluster backbones for improving MAP inference in statistical relational models. Ann. Math. Artif. Intell. Mohamed Hamza Ibrahim, Christopher J. Pal, Gilles Pesant
2020	J	`jnl`	On the impressive performance of randomly weighted encoders in summarization tasks. CoRR Jonathan Pilault, Jaehong Park, Christopher J. Pal
2020	A*	`conf`	Reinforced active learning for image segmentation. ICLR Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal
2020	J	`jnl`	Reinforced active learning for image segmentation. CoRR Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal
2020	J	`jnl`	Reinforcement Learning with Random Delays. CoRR Simon Ramstedt, Yann Bouteiller, Giovanni Beltrame, Christopher J. Pal, Jonathan Binas
2020	J	`jnl`	Robust motion in-betweening. ACM Trans. Graph. Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai, Christopher J. Pal
2019	J	`jnl`	A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. CoRR Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal
2019	Misc	`conf`	Active Domain Randomization. CoRL Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull
2019	J	`jnl`	Active Domain Randomization. CoRR Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull
2019	—	`conf`	Adversarial Mixup Resynthesizers. DGS@ICLR Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal
2019	J	`jnl`	Adversarial Mixup Resynthesizers. CoRR Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal
2019	B	`conf`	Dataflow-Based Joint Quantization for Deep Neural Networks. DCC Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar
2019	J	`jnl`	Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. CoRR Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar
2019	J	`jnl`	Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. CoRR Chinnadhurai Sankar, Sandeep Subramanian, Christopher J. Pal, Sarath Chandar, Yoshua Bengio
2019	J	`jnl`	Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. CoRR Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal
2019	J	`jnl`	Fine-grained zero-shot recognition with metric rescaling. CoRR Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal
2019	J	`jnl`	Interactive Language Learning by Question Answering. CoRR Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio, Adam Trischler
2019	J	`jnl`	Interactive Machine Comprehension with Information Seeking Agents. CoRR Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher J. Pal, Adam Trischler
2019	J	`jnl`	Learning Sparse Mixture of Experts for Visual Question Answering. CoRR Vardaan Pahuja, Jie Fu, Christopher J. Pal
2019	J	`jnl`	Neural Multisensory Scene Inference. CoRR Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn
2019	J	`jnl`	On Extractive and Abstractive Neural Document Summarization with Transformer Language Models. CoRR Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher J. Pal
2019	J	`jnl`	Promoting Coordination through Policy Regularization in Multi-Agent Reinforcement Learning. CoRR Paul Barde, Julien Roy, Félix G. Harvey, Derek Nowrouzezahrai, Christopher J. Pal
2019	J	`jnl`	Real-Time Reinforcement Learning. CoRR Simon Ramstedt, Christopher J. Pal
2019	J	`jnl`	Structure Learning for Neural Module Networks. CoRR Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher J. Pal
2019	J	`jnl`	Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments. CoRR Evan Racah, Christopher J. Pal
2019	J	`jnl`	Towards Understanding Generalization in Gradient-Based Meta-Learning. CoRR Simon Guiroy, Vikas Verma, Christopher J. Pal
2019	J	`jnl`	Visual Imitation Learning with Recurrent Siamese Networks. CoRR Glen Berseth, Christopher J. Pal
2018	J	`jnl`	Convolutional networks for kidney segmentation in contrast-enhanced CT scans. Comput. methods Biomech. Biomed. Eng. Imaging Vis. William E. Thong, Samuel Kadoury, Nicolas Piché, Christopher J. Pal
2018	—	`conf`	Deep Complex Networks. ICLR (Poster) Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal
2018	A*	`conf`	Focused Hierarchical RNNs for Conditional Sequence Processing. ICML Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher J. Pal
2018	A*	`conf`	Improving Landmark Localization With Semi-Supervised Learning. CVPR Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher J. Pal, Jan Kautz
2018	—	`conf`	Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. ICLR (Poster) Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal
2018	J	`jnl`	Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. CoRR Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal
2018	J	`jnl`	Recurrent Transition Networks for Character Locomotion. CoRR Félix G. Harvey, Christopher J. Pal
2018	—	`conf`	Recurrent transition networks for character locomotion. SIGGRAPH Asia Technical Briefs Félix G. Harvey, Christopher J. Pal
2018	J	`jnl`	Unsupervised Depth Estimation, 3D Face Rotation and Replacement. CoRR Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte, Sina Honari, Christopher J. Pal
2017	J	`jnl`	Deep Complex Networks. CoRR Chiheb Trabelsi, Olexa Bilaniuk, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal
2017	J	`jnl`	Metastatic liver tumour segmentation with a neural network-guided 3D deformable model. Medical Biol. Eng. Comput. Eugene Vorontsov, An Tang, David Roy, Christopher J. Pal, Samuel Kadoury
2017	A*	`conf`	Unimodal Probability Distributions for Deep Ordinal Classification. ICML Christopher Beckham, Christopher J. Pal
2017	—	`conf`	Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. ICLR (Poster) David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Aaron C. Courville, Christopher J. Pal
2016	J	`jnl`	A simple squared-error reformulation for ordinal classification. CoRR Christopher Beckham, Christopher J. Pal
2016	J	`jnl`	Convolutional Residual Memory Networks. CoRR Joel Moniz, Christopher J. Pal
2016	J	`jnl`	Improving facial analysis and performance driven animation through disentangling identity and expression. Image Vis. Comput. David Rim, Sina Honari, Md. Kamrul Hasan, Christopher J. Pal
2016	J	`jnl`	Movie Description. CoRR Anna Rohrbach, Atousa Torabi, Marcus Rohrbach, Niket Tandon, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville, Bernt Schiele
2016	A*	`conf`	Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation. CVPR Sina Honari, Jason Yosinski, Pascal Vincent, Christopher J. Pal
2016	J	`jnl`	Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets. CoRR Evan Racah, Christopher Beckham, Tegan Maharaj, Prabhat, Christopher J. Pal
2015	J	`jnl`	A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation. CoRR Md. Kamrul Hasan, Christopher J. Pal
2015	A*	`conf`	Describing Videos by Exploiting Temporal Structure. ICCV Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville
2015	J	`jnl`	EmoNets: Multimodal deep learning approaches for emotion recognition in video. CoRR 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
2015	A*	`conf`	Exploiting Determinism to Scale Relational Inference. AAAI Mohamed Hamza Ibrahim, Christopher J. Pal, Gilles Pesant
2015	J	`jnl`	Learning from weakly labeled faces and video in the wild. Pattern Recognit. David Rim, Md. Kamrul Hasan, Fannie Puech, Christopher J. Pal
2015	J	`jnl`	Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation. CoRR Sina Honari, Jason Yosinski, Pascal Vincent, Christopher J. Pal
2015	J	`jnl`	Semi-supervised Learning with Encoder-Decoder Recurrent Neural Networks: Experiments with Motion Capture Sequences. CoRR Félix G. Harvey, Christopher J. Pal
2015	J	`jnl`	Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research. CoRR Atousa Torabi, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville
2014	J	`jnl`	3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning. Mach. Vis. Appl. Chetan Bhole, Christopher J. Pal, David Rim, Axel Wismüller
2014	—	`conf`	Facial Expression Analysis Based on High Dimensional Binary Features. ECCV Workshops (2) Samira Ebrahimi Kahou, Pierre Froumenty, Christopher J. Pal
2013	B	`conf`	Combining modality specific deep neural networks for emotion recognition in video. ICMI 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
2013	—	`conf`	Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models. ICCV Workshops Md. Kamrul Hasan, Christopher J. Pal, Sharon Moalem
2012	B	`conf`	Automated person segmentation in videos. ICPR Chetan Bhole, Christopher J. Pal
2012	J	`jnl`	On Learning Conditional Random Fields for Stereo - Exploring Model Structures and Approximate Inference. Int. J. Comput. Vis. Christopher J. Pal, Jerod J. Weinman, Lam C. Tran, Daniel Scharstein
2011	—	`conf`	3D Segmentation in CT Imagery with Conditional Random Fields and Histograms of Oriented Gradients. MLMI Chetan Bhole, Nicholas Morsillo, Christopher J. Pal
2011	A*	`conf`	Heterogeneous Transfer Learning with RBMs. AAAI Bin Wei, Christopher J. Pal
2011	—	`conf`	Improving alignment of faces for recognition. ROSE Md. Kamrul Hasan, Christopher J. Pal
2011	A	`conf`	Semi Supervised Learning for Wild Faces and Video. BMVC David Rim, Kamrul Hassan, Christopher J. Pal
2011	Misc	`conf`	Spatially consistent view synthesis with coordinate alignment. ICASSP Lam C. Tran, Ramsin Khoshabeh, Ankit K. Jain, Christopher J. Pal, Truong Q. Nguyen
2010	—	`conf`	Cross Lingual Adaptation: An Experiment on Sentiment Classifications. ACL (2) Bin Wei, Christopher J. Pal
2010	B	`conf`	View synthesis based on Conditional Random Fields and graph cuts. ICIP Lam C. Tran, Christopher J. Pal, Truong Q. Nguyen
2010	—	`ch.`	YouTube Scale, Large Vocabulary Video Annotation. Video Search and Mining Nicholas Morsillo, Gideon S. Mann, Christopher J. Pal
2009	A*	`conf`	Activity recognition using the velocity histories of tracked keypoints. ICCV Ross Messing, Christopher J. Pal, Henry A. Kautz
2009	—	`conf`	Behavior Recognition in Video with Extended Models of Feature Velocity Dynamics. AAAI Spring Symposium: Human Behavior Modeling Ross Messing, Christopher J. Pal
2009	A*	`conf`	Semi-Supervised Learning of Visual Classifiers from Web Images and Text. IJCAI Nicholas Morsillo, Christopher J. Pal, Randal Nelson
2008	—	`conf`	Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing. ECCV (1) Jerod J. Weinman, Lam C. Tran, Christopher J. Pal
1999	—	`conf`	Case Libraries and Information Theoretic Case Matching for Soil and Water Resources Management. ISESS Sarah Dorner, Christopher J. Pal