C. Pal

Most-cited papers

The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, P. F. Christ, Eugene Vorontsov, G. Chlebus +56 more
2019Medical Image Anal.1,608 citations Open access
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Towards Deep Conversational Recommendations
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski +2 more
2018Neural Information Processing Systems510 citations
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Robust motion in-betweening
Félix G. Harvey, Mike Yurick, D. Nowrouzezahrai, C. Pal
2020ACM Transactions on Graphics468 citations Open access
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A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio, T. Deleu, Nasim Rahaman, N. Ke +4 more
2019International Conference on Learning Representations389 citations
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Active Domain Randomization
Bhairav Mehta, Manfred Diaz, Florian Golemo, C. Pal +1 more
2019Conference on Robot Learning363 citations
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Accounting for Variance in Machine Learning Benchmarks
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov +13 more
2021Conference on Machine Learning and Systems343 citations
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Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian, Adam Trischler, Yoshua Bengio, C. Pal
2018International Conference on Learning Representations340 citations
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On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Sandeep Subramanian, Raymond Li, Jonathan Pilault, C. Pal
2020Conference on Empirical Methods in Natural Language Processing252 citations Open access
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Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction
Roger Girgis, Florian Golemo, Felipe Codevilla, Martin Weiss +4 more
2021International Conference on Learning Representations232 citations
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Learning Neural Causal Models from Unknown Interventions
N. Ke, O. Bilaniuk, Anirudh Goyal, Stefan Bauer +3 more
2019arXiv.org192 citations
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Fashion-Gen: The Generative Fashion Dataset and Challenge
Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec +3 more
2018arXiv.org177 citations
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Reinforced active learning for image segmentation
Arantxa Casanova, Pedro H. O. Pinheiro, Negar Rostamzadeh, C. Pal
2020International Conference on Learning Representations133 citations
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Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Chinnadhurai Sankar, S. Subramanian, C. Pal, S. Chandar +1 more
2019Annual Meeting of the Association for Computational Linguistics129 citations Open access
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Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases.
Eugene Vorontsov, M. Cerny, P. Régnier, L. di Jorio +6 more
2019Radiology: Artificial Intelligence126 citations Open access
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Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
Jonathan Pilault, Amine Elhattami, C. Pal
2020International Conference on Learning Representations108 citations
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From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
N. Roy, I. Posner, T. Barfoot, Philippe Beaudoin +16 more
2021arXiv.org105 citations
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Recurrent transition networks for character locomotion
Félix G. Harvey, C. Pal
2018SIGGRAPH Asia Technical Briefs103 citations Open access
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Reinforcement Learning with Random Delays
Simon Ramstedt, Yann Bouteiller, G. Beltrame, C. Pal +1 more
2020International Conference on Learning Representations102 citations
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Convolutional networks for kidney segmentation in contrast-enhanced CT scans
William E. Thong, S. Kadoury, Nicolas Piché, C. Pal
2018Comput. methods Biomech. Biomed. Eng. Imaging Vis.97 citations
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Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
N. Ke, Anirudh Goyal, O. Bilaniuk, Jonathan Binas +3 more
2018Neural Information Processing Systems97 citations
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Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
N. Ke, A. Didolkar, Sarthak Mittal, Anirudh Goyal +6 more
2021NeurIPS Datasets and Benchmarks78 citations
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On Adversarial Mixup Resynthesis
Christopher Beckham, S. Honari, Vikas Verma, Alex Lamb +4 more
2019Neural Information Processing Systems76 citations
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Measuring Systematic Generalization in Neural Proof Generation with Transformers
Nicolas Gontier, Koustuv Sinha, Siva Reddy, C. Pal
2020Neural Information Processing Systems69 citations
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Probabilistic Planning with Sequential Monte Carlo methods
Alexandre Piché, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio +1 more
2018International Conference on Learning Representations59 citations
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Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
Dayiheng Liu, Jie Fu, Yidan Zhang, C. Pal +1 more
2019AAAI Conference on Artificial Intelligence53 citations Open access
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Towards Text Generation with Adversarially Learned Neural Outlines
Sandeep Subramanian, S. Rajeswar, A. Sordoni, Adam Trischler +2 more
2018Neural Information Processing Systems52 citations
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Direct Behavior Specification via Constrained Reinforcement Learning
Julien Roy, Roger Girgis, Joshua Romoff, Pierre-Luc Bacon +1 more
2021International Conference on Machine Learning49 citations
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Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin +3 more
2019Conference on Empirical Methods in Natural Language Processing48 citations Open access
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Towards Standardization of Data Licenses: The Montreal Data License
Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, C. Pal +2 more
2019arXiv.org43 citations
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Unsupervised Depth Estimation, 3D Face Rotation and Replacement
Joel Ruben Antony Moniz, Christopher Beckham, S. Rajotte, S. Honari +1 more
2018Neural Information Processing Systems42 citations
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Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
C. Rupprecht, Cyril Ibrahim, C. Pal
2019International Conference on Learning Representations37 citations
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Block-State Transformers
Jonathan Pilault, Mahan Fathi, O. Firat, C. Pal +2 more
2023Neural Information Processing Systems34 citations
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Attention-based Neural Cellular Automata
Mattie Tesfaldet, D. Nowrouzezahrai, C. Pal
2022Neural Information Processing Systems34 citations Open access
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Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau +2 more
2020Neural Information Processing Systems30 citations
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Learned Image Compression for Machine Perception
Felipe Codevilla, Jean-Gabriel Simard, Ross Goroshin, C. Pal
2021arXiv.org28 citations
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DuoRAT: Towards Simpler Text-to-SQL Models
Torsten Scholak, Raymond Li, D. Bahdanau, Harm de Vries +1 more
2020North American Chapter of the Association for Computational Linguistics28 citations Open access
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AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Jae Hyun Lim, Aaron C. Courville, C. Pal, Chin-Wei Huang
2020International Conference on Machine Learning27 citations
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Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning
Julien Roy, Paul Barde, Félix G. Harvey, D. Nowrouzezahrai +1 more
2019Neural Information Processing Systems25 citations
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Focused Hierarchical RNNs for Conditional Sequence Processing
N. Ke, Konrad Zolna, A. Sordoni, Zhouhan Lin +5 more
2018International Conference on Machine Learning25 citations
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Towards Understanding Generalization in Gradient-Based Meta-Learning
Simon Guiroy, Vikas Verma, C. Pal
2019arXiv.org24 citations
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Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design
Julien Roy, Pierre-Luc Bacon, C. Pal, Emmanuel Bengio
2023arXiv.org23 citations Open access
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Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences
Yi Tay, Donovan Ong, Jie Fu, Alvin Chan +3 more
2020Annual Meeting of the Association for Computational Linguistics22 citations Open access
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Interactive Machine Comprehension with Information Seeking Agents
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay +2 more
2019Annual Meeting of the Association for Computational Linguistics20 citations Open access
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Beyond Target Networks: Improving Deep Q-learning with Functional Regularization
Alexandre Piché, Valentin Thomas, Joseph Marino, Gian Maria Marconi +2 more
2021arXiv.org18 citations
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Exploring Structural Inductive Biases in Emergent Communication
Agnieszka Słowik, Abhinav Gupta, William L. Hamilton, M. Jamnik +2 more
2020arXiv.org18 citations
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Role-Wise Data Augmentation for Knowledge Distillation
Jie Fu, Xue Geng, Zhijian Duan, Bo-Han Zhuang +5 more
2020arXiv.org16 citations
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Neural Causal Structure Discovery from Interventions
N. Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer +5 more
2023Trans. Mach. Learn. Res.14 citations
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Action-Based Representation Learning for Autonomous Driving
Yi Xiao, Felipe Codevilla, C. Pal, Antonio M. López
2020Conference on Robot Learning13 citations
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Adversarial Mixup Resynthesizers
Christopher Beckham, S. Honari, Alex Lamb, Vikas Verma +3 more
2019DGS@ICLR12 citations
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Revision in Continuous Space: Fine-Grained Control of Text Style Transfer
Dayiheng Liu, Jie Fu, Yidan Zhang, C. Pal +1 more
2019arXiv.org12 citations
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