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ORCIDChristopher Joseph Pal
Christopher J. Pal – Christopher Pal – Chris Pal
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- affiliation: Polytechnique Montréal, QC, Canada
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2020 – today
- 2024
[j27]Christopher Beckham, Alexandre Piché, David Vázquez, Christopher Pal:
Exploring validation metrics for offline model-based optimisation with diffusion models. Trans. Mach. Learn. Res. 2024 (2024)- [c104]Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher Pal, Marc Aubreville:
Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models. ICLR 2024 - [c103]Simon Chamorro, Victor Klemm, Miguel de la Iglesia Valls, Christopher Pal, Roland Siegwart:
Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots. ICRA 2024: 8081-8087 - [i126]Shubham Agarwal, Issam H. Laradji, Laurent Charlin, Christopher Pal:
LitLLM: A Toolkit for Scientific Literature Review. CoRR abs/2402.01788 (2024) - [i125]Simon Chamorro, Victor Klemm, Miguel de la Iglesia Valls, Christopher Pal, Roland Siegwart:
Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots. CoRR abs/2402.06143 (2024) - [i124]Nasim Rahaman, Martin Weiss, Manuel Wüthrich, Yoshua Bengio, Li Erran Li, Chris Pal, Bernhard Schölkopf:
Language Models Can Reduce Asymmetry in Information Markets. CoRR abs/2403.14443 (2024) - [i123]Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal:
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning. CoRR abs/2403.19918 (2024) - [i122]João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian:
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. CoRR abs/2404.15420 (2024) - [i121]Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Chris Pal:
LLMs can learn self-restraint through iterative self-reflection. CoRR abs/2405.13022 (2024) - [i120]Matthew Fortier, Mats L. Richter, Oliver Sonnentag, Chris Pal:
CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling. CoRR abs/2406.04940 (2024) - [i119]Ge Ya Luo, Zhi Hao Luo, Anthony Gosselin, Alexia Jolicoeur-Martineau, Christopher Pal:
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion. CoRR abs/2406.05630 (2024) - [i118]João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian:
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. CoRR abs/2406.11811 (2024) - [i117]Benno Krojer, Dheeraj Vattikonda, Luis Lara, Varun Jampani, Eva Portelance, Christopher Pal, Siva Reddy:
Learning Action and Reasoning-Centric Image Editing from Videos and Simulations. CoRR abs/2407.03471 (2024) - [i116]Gaurav Sahu, Abhay Puri, Juan A. Rodriguez, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vázquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam Hadj Laradji:
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. CoRR abs/2407.06423 (2024) - [i115]Zhi Hao Luo, Luis Lara, Ge Ya Luo, Florian Golemo, Christopher Beckham, Christopher Pal:
DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Design. CoRR abs/2407.15723 (2024) - 2023
- [j26]Glen Berseth, Florian Golemo, Christopher Pal:
Towards Learning to Imitate from a Single Video Demonstration. J. Mach. Learn. Res. 24: 78:1-78:26 (2023) - [j25]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [j24]Christopher Beckham, Martin Weiss, Florian Golemo, Sina Honari, Derek Nowrouzezahrai, Christopher Pal:
Visual question answering from another perspective: CLEVR mental rotation tests. Pattern Recognit. 136: 109209 (2023) - [j23]Amine El Hattami, Issam H. Laradji, Stefania Raimondo, David Vázquez, Pau Rodríguez, Christopher Pal:
Workflow Discovery from Dialogues in the Low Data Regime. Trans. Mach. Learn. Res. 2023 (2023) - [j22]Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Bernhard Schölkopf, Michael Curtis Mozer, Christopher Pal, Yoshua Bengio:
Neural Causal Structure Discovery from Interventions. Trans. Mach. Learn. Res. 2023 (2023) - [j21]Alexandre Piché, Valentin Thomas, Joseph Marino, Rafael Pardinas, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan:
Bridging the Gap Between Target Networks and Functional Regularization. Trans. Mach. Learn. Res. 2023 (2023) - [c102]Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Chris Pal:
Parallel-mentoring for Offline Model-based Optimization. NeurIPS 2023 - [c101]Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Chris Pal, Siva Reddy:
Are Diffusion Models Vision-And-Language Reasoners? NeurIPS 2023 - [c100]Jonathan Pilault, Mahan Fathi, Orhan Firat, Chris Pal, Pierre-Luc Bacon, Ross Goroshin:
Block-State Transformers. NeurIPS 2023 - [i114]Nicolas Gontier, Pau Rodríguez, Issam H. Laradji, David Vázquez, Christopher Pal:
Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments. CoRR abs/2302.05507 (2023) - [i113]Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar:
Score-based Diffusion Models in Function Space. CoRR abs/2302.07400 (2023) - [i112]Christopher Beckham, Christopher Pal:
Conservative objective models are a special kind of contrastive divergence-based energy model. CoRR abs/2304.03866 (2023) - [i111]Arantxa Casanova, Marlène Careil, Adriana Romero-Soriano, Christopher J. Pal, Jakob Verbeek, Michal Drozdzal:
Controllable Image Generation via Collage Representations. CoRR abs/2304.13722 (2023) - [i110]Qiuyuan Huang, Jae Sung Park, Abhinav Gupta, Paul N. Bennett, Ran Gong, Subhojit Som, Baolin Peng, Owais Khan Mohammed, Chris Pal, Yejin Choi, Jianfeng Gao:
ArK: Augmented Reality with Knowledge Interactive Emergent Ability. CoRR abs/2305.00970 (2023) - [i109]Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Christopher Pal, Siva Reddy:
Are Diffusion Models Vision-And-Language Reasoners? CoRR abs/2305.16397 (2023) - [i108]Stefania Raimondo, Christopher Pal, Xiaotian Liu, David Vázquez, Héctor Palacios:
Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans. CoRR abs/2306.01729 (2023) - [i107]Julien Roy, Pierre-Luc Bacon, Christopher Pal, Emmanuel Bengio:
Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design. CoRR abs/2306.04620 (2023) - [i106]Mahan Fathi, Jonathan Pilault, Pierre-Luc Bacon, Christopher Pal, Orhan Firat, Ross Goroshin:
Block-State Transformer. CoRR abs/2306.09539 (2023) - [i105]Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal:
Parallel-mentoring for Offline Model-based Optimization. CoRR abs/2309.11592 (2023) - [i104]Juan A. Rodriguez, Shubham Agarwal, Issam H. Laradji, Pau Rodríguez, David Vázquez, Christopher Pal, Marco Pedersoli:
StarVector: Generating Scalable Vector Graphics Code from Images. CoRR abs/2312.11556 (2023) - [i103]Issam H. Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vázquez, Christopher Pal, Alexandre Drouin:
Capture the Flag: Uncovering Data Insights with Large Language Models. CoRR abs/2312.13876 (2023) - 2022
- [j20]Nicolas Gontier, Siva Reddy, Christopher Pal:
Does Entity Abstraction Help Generative Transformers Reason? Trans. Mach. Learn. Res. 2022 (2022) - [c99]Simon Guiroy, Christopher Pal, Gonçalo Mordido, Sarath Chandar:
Improving Meta-Learning Generalization with Activation-Based Early-Stopping. CoLLAs 2022: 213-230 - [c98]Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher Pal:
Overcoming challenges in leveraging GANs for few-shot data augmentation. CoLLAs 2022: 255-280 - [c97]Jikun Kang, Miao Liu, Abhinav Gupta, Christopher Pal, Xue (Steve) Liu, Jie Fu:
Learning Multi-Objective Curricula for Robotic Policy Learning. CoRL 2022: 847-858 - [c96]Paul Barde, Tristan Karch, Derek Nowrouzezahrai, Clément Moulin-Frier, Christopher Pal, Pierre-Yves Oudeyer:
Learning to Guide and to be Guided in the Architect-Builder Problem. ICLR 2022 - [c95]Roger Girgis, Florian Golemo, Felipe Codevilla, Martin Weiss, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher Pal:
Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction. ICLR 2022 - [c94]Julien Roy, Roger Girgis, Joshua Romoff, Pierre-Luc Bacon, Christopher J. Pal:
Direct Behavior Specification via Constrained Reinforcement Learning. ICML 2022: 18828-18843 - [c93]Mattie Tesfaldet, Derek Nowrouzezahrai, Chris Pal:
Attention-based Neural Cellular Automata. NeurIPS 2022 - [c92]Vikram Voleti, Alexia Jolicoeur-Martineau, Chris Pal:
MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. NeurIPS 2022 - [c91]Martin Weiss, Nasim Rahaman, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas:
Neural Attentive Circuits. NeurIPS 2022 - [c90]Vikram Voleti, Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Louis-Simon Ménard, Christopher Pal:
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows. SIGGRAPH Asia Technical Communications 2022: 1:1-1:7 - [i102]Nicolas Gontier, Siva Reddy, Christopher Pal:
Does entity abstraction help generative Transformers reason? CoRR abs/2201.01787 (2022) - [i101]Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher J. Pal:
Challenges in leveraging GANs for few-shot data augmentation. CoRR abs/2203.16662 (2022) - [i100]Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal:
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. CoRR abs/2205.09853 (2022) - [i99]Amine El Hattami, Stefania Raimondo, Issam H. Laradji, David Vázquez, Pau Rodríguez, Chris Pal:
Workflow Discovery from Dialogues in the Low Data Regime. CoRR abs/2205.11690 (2022) - [i98]Simon Guiroy, Christopher Pal, Gonçalo Mordido, Sarath Chandar:
Improving Meta-Learning Generalization with Activation-Based Early-Stopping. CoRR abs/2208.02377 (2022) - [i97]Vikram Voleti, Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Louis-Simon Ménard, Christopher Pal:
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows. CoRR abs/2208.08274 (2022) - [i96]Jonathan Pilault, Michael Galkin, Bahare Fatemi, Perouz Taslakian, David Vázquez, Christopher Pal:
Using Graph Algorithms to Pretrain Graph Completion Transformers. CoRR abs/2210.07453 (2022) - [i95]Nasim Rahaman, Martin Weiss, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas:
Neural Attentive Circuits. CoRR abs/2210.08031 (2022) - [i94]Vikram Voleti, Christopher Pal, Adam M. Oberman:
Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models. CoRR abs/2210.12254 (2022) - [i93]Alexandre Piché, Rafael Pardinas, David Vázquez, Igor Mordatch, Chris Pal:
Implicit Offline Reinforcement Learning via Supervised Learning. CoRR abs/2210.12272 (2022) - [i92]Mattie Tesfaldet, Derek Nowrouzezahrai, Christopher Pal:
Attention-based Neural Cellular Automata. CoRR abs/2211.01233 (2022) - [i91]Nasim Rahaman, Martin Weiss, Frederik Träuble, Francesco Locatello, Alexandre Lacoste, Yoshua Bengio, Chris Pal, Li Erran Li, Bernhard Schölkopf:
A General Purpose Neural Architecture for Geospatial Systems. CoRR abs/2211.02348 (2022) - [i90]Christopher Beckham, Alexandre Piché, David Vázquez, Christopher Pal:
Towards good validation metrics for generative models in offline model-based optimisation. CoRR abs/2211.10747 (2022) - [i89]Mats L. Richter, Christopher Pal:
Receptive Field Refinement for Convolutional Neural Networks Reliably Improves Predictive Performance. CoRR abs/2211.14487 (2022) - [i88]Christopher Beckham, Martin Weiss, Florian Golemo, Sina Honari, Derek Nowrouzezahrai, Christopher Pal:
Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests. CoRR abs/2212.01639 (2022) - 2021
- [c89]Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Chris Pal:
Structural Inductive Biases in Emergent Communication. CogSci 2021 - [c88]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:
Predicting Infectiousness for Proactive Contact Tracing. ICLR 2021 - [c87]Yann Bouteiller, Simon Ramstedt, Giovanni Beltrame, Christopher J. Pal, Jonathan Binas:
Reinforcement Learning with Random Delays. ICLR 2021 - [c86]Jonathan Pilault, Amine Elhattami, Christopher J. Pal:
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data. ICLR 2021 - [c85]Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent:
Accounting for Variance in Machine Learning Benchmarks. MLSys 2021 - [c84]Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal:
DuoRAT: Towards Simpler Text-to-SQL Models. NAACL-HLT 2021: 1313-1321 - [c83]Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Jimenez Rezende, Michael Mozer, Yoshua Bengio, Chris Pal:
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. NeurIPS Datasets and Benchmarks 2021 - [i87]Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai, Christopher J. Pal:
Robust Motion In-betweening. CoRR abs/2102.04942 (2021) - [i86]Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent:
Accounting for Variance in Machine Learning Benchmarks. CoRR abs/2103.03098 (2021) - [i85]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 abs/2104.00563 (2021) - [i84]Alexandre Piché, Joseph Marino, Gian Maria Marconi, Christopher Joseph Pal, Mohammad Emtiyaz Khan:
Beyond Target Networks: Improving Deep Q-learning with Functional Regularization. CoRR abs/2106.02613 (2021) - [i83]Vikram Voleti, Chris Finlay, Adam M. Oberman, Christopher J. Pal:
Multi-Resolution Continuous Normalizing Flows. CoRR abs/2106.08462 (2021) - [i82]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 abs/2107.00848 (2021) - [i81]David Kanaa, Vikram Voleti, Samira Ebrahimi Kahou, Christopher Pal:
Simple Video Generation using Neural ODEs. CoRR abs/2109.03292 (2021) - [i80]Jikun Kang, Miao Liu, Abhinav Gupta, Chris Pal, Xue Liu, Jie Fu:
Learning Multi-Objective Curricula for Deep Reinforcement Learning. CoRR abs/2110.03032 (2021) - [i79]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 abs/2110.15245 (2021) - [i78]Felipe Codevilla, Jean-Gabriel Simard, Ross Goroshin, Chris Pal:
Learned Image Compression for Machine Perception. CoRR abs/2111.02249 (2021) - [i77]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 abs/2112.07342 (2021) - [i76]Julien Roy, Roger Girgis, Joshua Romoff, Pierre-Luc Bacon, Christopher J. Pal:
Direct Behavior Specification via Constrained Reinforcement Learning. CoRR abs/2112.12228 (2021) - 2020
- [j19]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): 907-949 (2020) - [j18]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): 1:1-1:28 (2020) - [j17]Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai, Christopher J. Pal:
Robust motion in-betweening. ACM Trans. Graph. 39(4): 60 (2020) - [c82]Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv:
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning. AAAI 2020: 8376-8383 - [c81]Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Chris Pal, Adam Trischler:
Interactive Machine Comprehension with Information Seeking Agents. ACL 2020: 2325-2338 - [c80]Yi Tay, Donovan Ong, Jie Fu, Alvin Chan, Nancy Chen, Anh Tuan Luu, Chris Pal:
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences. ACL 2020: 5369-5373 - [c79]Yi Xiao, Felipe Codevilla, Christopher J. Pal, Antonio M. López:
Action-based Representation Learning for Autonomous Driving. CoRL 2020: 232-246 - [c78]Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal:
CLAREL: Classification via retrieval loss for zero-shot learning. CVPR Workshops 2020: 3989-3993 - [c77]Jonathan Pilault, Raymond Li, Sandeep Subramanian, Chris Pal:
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models. EMNLP (1) 2020: 9308-9319 - [c76]Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal:
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. ICLR 2020 - [c75]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 - [c74]Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal:
Reinforced active learning for image segmentation. ICLR 2020 - [c73]Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang:
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. ICML 2020: 6061-6071 - [c72]Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Chris Pal, Derek Nowrouzezahrai:
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. NeurIPS 2020 - [c71]Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal:
Measuring Systematic Generalization in Neural Proof Generation with Transformers. NeurIPS 2020 - [c70]Julien Roy, Paul Barde, Félix G. Harvey, Derek Nowrouzezahrai, Chris Pal:
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning. NeurIPS 2020 - [e1]Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Hervé Lombaert, Christopher Pal:
International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada. Proceedings of Machine Learning Research 121, PMLR 2020 [contents] - [i75]Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Christopher J. Pal:
Exploring Structural Inductive Biases in Emergent Communication. CoRR abs/2002.01335 (2020) - [i74]Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal:
Reinforced active learning for image segmentation. CoRR abs/2002.06583 (2020) - [i73]Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Christopher J. Pal, Liam Paull:
Curriculum in Gradient-Based Meta-Reinforcement Learning. CoRR abs/2002.07956 (2020) - [i72]Jonathan Pilault, Jaehong Park, Christopher J. Pal:
On the impressive performance of randomly weighted encoders in summarization tasks. CoRR abs/2002.09084 (2020) - [i71]Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong:
Role-Wise Data Augmentation for Knowledge Distillation. CoRR abs/2004.08861 (2020) - [i70]Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang:
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. CoRR abs/2006.05164 (2020) - [i69]Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Christopher J. Pal, Derek Nowrouzezahrai:
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. CoRR abs/2006.13258 (2020) - [i68]Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal:
Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. CoRR abs/2007.02319 (2020) - [i67]Yi Xiao, Felipe Codevilla, Christopher J. Pal, Antonio M. López:
Action-Based Representation Learning for Autonomous Driving. CoRR abs/2008.09417 (2020) - [i66]Jonathan Pilault, Amine Elhattami, Christopher J. Pal:
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data. CoRR abs/2009.09139 (2020) - [i65]Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal:
Measuring Systematic Generalization in Neural Proof Generation with Transformers. CoRR abs/2009.14786 (2020) - [i64]Simon Ramstedt, Yann Bouteiller, Giovanni Beltrame, Christopher J. Pal, Jonathan Binas:
Reinforcement Learning with Random Delays. CoRR abs/2010.02966 (2020) - [i63]Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal:
DuoRAT: Towards Simpler Text-to-SQL Models. CoRR abs/2010.11119 (2020) - [i62]Jaehong Park, Jo