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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
- 2025
[j29]Dima Damen
, Tal Hassner, Chris Pal, Yoichi Sato:
Editorial Introduction to the ICCV 2021 Special Section. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 3200-3201 (2025)- [c115]Juan A. Rodriguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli:
StarVector: Generating Scalable Vector Graphics Code from Images and Text. AAAI 2025: 29691-29693 - [c114]Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher J. Pal, Marc Aubreville:
Abstract: Würstchen - An Efficient Architecture for Large-scale Text-to-image Diffusion Models. Bildverarbeitung für die Medizin 2025: 269 - [c113]Md Rifat Arefin, Gopeshh Subbaraj, Nicolas Gontier, Yann LeCun, Irina Rish, Ravid Shwartz-Ziv, Christopher Pal:
Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning. ICLR 2025 - [c112]Matthew Fortier, Mats Leon Richter, Oliver Sonnentag, Christopher Pal:
CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling. ICLR 2025 - [c111]Ge Ya Luo, Gian Mario Favero, Zhi Hao Luo, Alexia Jolicoeur-Martineau, Christopher Pal:
Beyond FVD: An Enhanced Evaluation Metrics for Video Generation Distribution Quality. ICLR 2025 - [c110]Gaurav Sahu, Abhay Puri, Juan A. Rodriguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vázquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam H. Laradji:
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. ICLR 2025 - [c109]Aditya Sharma, Aman Dalmia, Mehran Kazemi, Amal Zouaq, Christopher Pal:
GeoCoder: Solving Geometry Problems by Generating Modular Code through Vision-Language Models. NAACL (Findings) 2025: 7340-7356 - [i142]Ahmed Masry, Juan A. Rodriguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-André Noël, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam H. Laradji, David Vázquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar:
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding. CoRR abs/2502.01341 (2025) - [i141]Aditya Sharma, Luis Lara, Amal Zouaq, Christopher J. Pal:
Reducing Hallucinations in Language Model-based SPARQL Query Generation Using Post-Generation Memory Retrieval. CoRR abs/2502.13369 (2025) - [i140]Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodriguez, Montek Kalsi, Rabiul Awal, Nicolas Chapados, M. Tamer Özsu, Aishwarya Agrawal, David Vázquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar:
UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction. CoRR abs/2503.15661 (2025) - [i139]Patrice Bechard, Chao Wang, Amirhossein Abaskohi, Juan A. Rodriguez, Christopher Pal, David Vázquez, Spandana Gella, Sai Rajeswar, Perouz Taslakian:
StarFlow: Generating Structured Workflow Outputs From Sketch Images. CoRR abs/2503.21889 (2025) - [i138]Luke Rowe, Roger Girgis, Anthony Gosselin, Liam Paull, Christopher Pal, Felix Heide:
Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments. CoRR abs/2503.22496 (2025) - [i137]Amirhossein Abaskohi, Amrutha Varshini Ramesh, Shailesh Nanisetty, Chirag Goel, David Vázquez, Christopher Pal, Spandana Gella, Giuseppe Carenini, Issam H. Laradji:
AgentAda: Skill-Adaptive Data Analytics for Tailored Insight Discovery. CoRR abs/2504.07421 (2025) - [i136]Xing Han Lù, Amirhossein Kazemnejad, Nicholas Meade, Arkil Patel, Dongchan Shin, Alejandra Zambrano, Karolina Stanczak, Peter Shaw, Christopher J. Pal, Siva Reddy:
AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories. CoRR abs/2504.08942 (2025) - [i135]Rishav Pramanik, Antoine Poupon, Juan A. Rodriguez, Masih Aminbeidokhti, David Vázquez, Christopher Pal, Zhaozheng Yin, Marco Pedersoli:
Distilling semantically aware orders for autoregressive image generation. CoRR abs/2504.17069 (2025) - 2024
- [j28]Vikram Voleti, Chris Finlay, Adam Oberman, Christopher Pal:
Multi-resolution continuous normalizing flows. Ann. Math. Artif. Intell. 92(5): 1295-1317 (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) - [c108]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. CoRL 2024: 3600-3621 - [c107]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. EMNLP (Findings) 2024: 15284-15302 - [c106]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 - [c105]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 - [c104]João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar Mudumba, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Chris Pal, Perouz Taslakian:
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. NeurIPS 2024 - [c103]Benno Krojer, Dheeraj Vattikonda, Luis Lara, Varun Jampani, Eva Portelance, Chris Pal, Siva Reddy:
Learning Action and Reasoning-Centric Image Editing from Videos and Simulation. NeurIPS 2024 - [i134]Shubham Agarwal, Issam H. Laradji, Laurent Charlin, Christopher Pal:
LitLLM: A Toolkit for Scientific Literature Review. CoRR abs/2402.01788 (2024) - [i133]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) - [i132]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) - [i131]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) - [i130]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) - [i129]Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Chris Pal:
LLMs can learn self-restraint through iterative self-reflection. CoRR abs/2405.13022 (2024) - [i128]Matthew Fortier, Mats L. Richter, Oliver Sonnentag, Chris Pal:
CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling. CoRR abs/2406.04940 (2024) - [i127]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) - [i126]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) - [i125]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) - [i124]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) - [i123]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) - [i122]Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Christopher Pal:
Robust Guided Diffusion for Offline Black-Box Optimization. CoRR abs/2410.00983 (2024) - [i121]Ge Ya Luo, Gian Mario Favero, Zhi Hao Luo, Alexia Jolicoeur-Martineau, Christopher Pal:
Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality. CoRR abs/2410.05203 (2024) - [i120]Aditya Sharma, Aman Dalmia, Mehran Kazemi, Amal Zouaq, Christopher J. Pal:
GeoCoder: Solving Geometry Problems by Generating Modular Code through Vision-Language Models. CoRR abs/2410.13510 (2024) - [i119]Md Rifat Arefin, Gopeshh Subbaraj, Nicolas Gontier, Yann LeCun, Irina Rish, Ravid Shwartz-Ziv, Christopher Pal:
Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning. CoRR abs/2411.02344 (2024) - [i118]Juan A. Rodriguez, Nicholas Botzer, David Vázquez, Christopher Pal, Marco Pedersoli, Issam H. Laradji:
IntentGPT: Few-shot Intent Discovery with Large Language Models. CoRR abs/2411.10670 (2024) - [i117]Ye Yuan, Can Chen, Christopher Pal, Xue Liu:
ParetoFlow: Guided Flows in Multi-Objective Optimization. CoRR abs/2412.03718 (2024) - [i116]Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubbam Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Noah Bolger, Kurt MacDonald, Simon Fauvel, Sathwik Tejaswi, Srinivas Sunkara, João Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharagani, Sean Hughes, M. Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vázquez, Sai Rajeswar:
BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. CoRR abs/2412.04626 (2024) - [i115]Shubham Agarwal, Gaurav Sahu, Abhay Puri, Issam H. Laradji, Krishnamurthy Dj Dvijotham, Jason Stanley, Laurent Charlin, Christopher Pal:
LLMs for Literature Review: Are we there yet? CoRR abs/2412.15249 (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 F. 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, Jonathan Pilault, Christopher Joseph Pal:
Learning to Summarize Long Texts with Memory Compression and Transfer. CoRR abs/2010.11322 (2020) - [i61]Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif B. 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, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams:
Predicting Infectiousness for Proactive Contact Tracing. CoRR abs/2010.12536 (2020) - [i60]Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St-Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David L. Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Joseph Pal, Joanna Merckx, Eilif B. Müller, Yoshua Bengio:
COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. CoRR abs/2010.16004 (2020)
2010 – 2019
- 2019
- [c69]Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio:
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. ACL (1) 2019: 32-37 - [c68]Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull:
Active Domain Randomization. CoRL 2019: 1162-1176 - [c67]Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal:
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRL 2019: 1314-1327 - [c66]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: 574 - [c65]Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher Joseph Pal:
Structure Learning for Neural Module Networks. LANTERN@EMNLP-IJCNLP 2019: 1-10 - [c64]Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler:
Interactive Language Learning by Question Answering. EMNLP/IJCNLP (1) 2019: 2796-2813 - [c63]Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal:
Adversarial Mixup Resynthesizers. DGS@ICLR 2019 - [c62]Alexandre Piché, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio, Chris Pal:
Probabilistic Planning with Sequential Monte Carlo methods. ICLR (Poster) 2019 - [c61]Simon Ramstedt, Chris Pal:
Real-Time Reinforcement Learning. NeurIPS 2019: 3067-3076 - [c60]Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri, R. Devon Hjelm, Yoshua Bengio, Chris Pal:
On Adversarial Mixup Resynthesis. NeurIPS 2019: 4348-4359 - [c59]Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn:
Neural Multisensory Scene Inference. NeurIPS 2019: 8994-9004 - [i59]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 abs/1901.02064 (2019) - [i58]Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). CoRR abs/1901.04056 (2019) - [i57]Glen Berseth, Christopher J. Pal:
Visual Imitation Learning with Recurrent Siamese Networks. CoRR abs/1901.07186 (2019) - [i56]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 abs/1901.10912 (2019) - [i55]Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal:
Adversarial Mixup Resynthesizers. CoRR abs/1903.02709 (2019) - [i54]Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Chris Pal, Yoshua Bengio, Alex Shee:
Towards Standardization of Data Licenses: The Montreal Data License. CoRR abs/1903.12262 (2019) - [i53]Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal:
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. CoRR abs/1904.01318 (2019) - [i52]Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull:
Active Domain Randomization. CoRR abs/1904.04762 (2019) - [i51]Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher J. Pal:
Structure Learning for Neural Module Networks. CoRR abs/1905.11532 (2019) - [i50]Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv:
Revision in Continuous Space: Fine-Grained Control of Text Style Transfer. CoRR abs/1905.12304 (2019) - [i49]Chinnadhurai Sankar, Sandeep Subramanian, Christopher J. Pal, Sarath Chandar, Yoshua Bengio:
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. CoRR abs/1906.01603 (2019) - [i48]Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal:
Fine-grained zero-shot recognition with metric rescaling. CoRR abs/1906.11892 (2019) - [i47]Evan Racah, Christopher J. Pal:
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments. CoRR abs/1906.11951 (2019) - [i46]Simon Guiroy, Vikas Verma, Christopher J. Pal:
Towards Understanding Generalization in Gradient-Based Meta-Learning. CoRR abs/1907.07287 (2019) - [i45]Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup:
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation. CoRR abs/1908.00061 (2019) - [i44]Paul Barde, Julien Roy, Félix G. Harvey, Derek Nowrouzezahrai, Christopher J. Pal:
Promoting Coordination through Policy Regularization in Multi-Agent Reinforcement Learning. CoRR abs/1908.02269 (2019) - [i43]Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher J. Pal, Adam Trischler:
Interactive Machine Comprehension with Information Seeking Agents. CoRR abs/1908.10449 (2019) - [i42]Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio, Adam Trischler:
Interactive Language Learning by Question Answering. CoRR abs/1908.10909 (2019) - [i41]Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher J. Pal:
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models. CoRR abs/1909.03186 (2019) - [i40]Vardaan Pahuja, Jie Fu, Christopher J. Pal:
Learning Sparse Mixture of Experts for Visual Question Answering. CoRR abs/1909.09192 (2019) - [i39]Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio:
Learning Neural Causal Models from Unknown Interventions. CoRR abs/1910.01075 (2019) - [i38]Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn:
Neural Multisensory Scene Inference. CoRR abs/1910.02344 (2019) - [i37]Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal:
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRR abs/1910.13249 (2019) - [i36]Simon Ramstedt, Christopher J. Pal:
Real-Time Reinforcement Learning. CoRR abs/1911.04448 (2019) - 2018
- [j16]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): 277-282 (2018) - [j15]Félix G. Harvey, Julien Roy, David Kanaa, Christopher Joseph Pal:
Recurrent semi-supervised classification and constrained adversarial generation with motion capture data. Image Vis. Comput. 78: 42-52 (2018) - [j14]Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Mahsa Shakeri, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury:
Learning normalized inputs for iterative estimation in medical image segmentation. Medical Image Anal. 44: 1-13 (2018) - [c58]Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher J. Pal, Jan Kautz:
Improving Landmark Localization With Semi-Supervised Learning. CVPR 2018: 1546-1555 - [c57]Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal, Yoshua Bengio:
Twin Networks: Matching the Future for Sequence Generation. ICLR (Poster) 2018 - [c56]Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal:
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. ICLR (Poster) 2018 - [c55]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 - [c54]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: 2559-2568 - [c53]Eugene Vorontsov, An Tang, Chris Pal, Samuel Kadoury:
Liver lesion segmentation informed by joint liver segmentation. ISBI 2018: 1332-1335 - [c52]Sandeep Subramanian, Sai Rajeswar, Alessandro Sordoni, Adam Trischler, Aaron C. Courville, Chris Pal:
Towards Text Generation with Adversarially Learned Neural Outlines. NeurIPS 2018: 7562-7574 - [c51]Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio:
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding. NeurIPS 2018: 7651-7662 - [c50]Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal:
Towards Deep Conversational Recommendations. NeurIPS 2018: 9748-9758 - [c49]Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte, Sina Honari, Chris Pal:
Unsupervised Depth Estimation, 3D Face Rotation and Replacement. NeurIPS 2018: 9759-9769 - [c48]Félix G. Harvey, Christopher J. Pal:
Recurrent transition networks for character locomotion. SIGGRAPH Asia Technical Briefs 2018: 4:1-4:4 - [i35]Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte, Sina Honari, Christopher J. Pal:
Unsupervised Depth Estimation, 3D Face Rotation and Replacement. CoRR abs/1803.09202 (2018) - [i34]Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal:
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. CoRR abs/1804.00079 (2018) - [i33]Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal:
Focused Hierarchical RNNs for Conditional Sequence Processing. CoRR abs/1806.04342 (2018) - [i32]Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, Chris Pal:
Fashion-Gen: The Generative Fashion Dataset and Challenge. CoRR abs/1806.08317 (2018) - [i31]Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio:
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding. CoRR abs/1809.03702 (2018) - [i30]Félix G. Harvey, Christopher J. Pal:
Recurrent Transition Networks for Character Locomotion. CoRR abs/1810.02363 (2018) - [i29]Martin Weiss, Margaux Luck, Roger Girgis, Chris Pal, Joseph Paul Cohen:
A Survey of Mobile Computing for the Visually Impaired. CoRR abs/1811.10120 (2018) - [i28]Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal:
Towards Deep Conversational Recommendations. CoRR abs/1812.07617 (2018) - 2017
- [j13]Anna Rohrbach, Atousa Torabi, Marcus Rohrbach, Niket Tandon, Christopher Joseph Pal, Hugo Larochelle, Aaron C. Courville, Bernt Schiele:
Movie Description. Int. J. Comput. Vis. 123(1): 94-120 (2017) - [j12]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): 127-139 (2017) - [j11]Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle:
Brain tumor segmentation with Deep Neural Networks. Medical Image Anal. 35: 18-31 (2017) - [j10]Mohamed Hamza Ibrahim, Christopher Joseph Pal, Gilles Pesant:
Improving probabilistic inference in graphical models with determinism and cycles. Mach. Learn. 106(1): 1-54 (2017) - [c47]Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic, Christopher Joseph Pal, Pascal Vincent:
RATM: Recurrent Attentive Tracking Model. CVPR Workshops 2017: 1613-1622 - [c46]Tegan Maharaj, Nicolas Ballas, Anna Rohrbach, Aaron C. Courville, Christopher Joseph Pal:
A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering. CVPR 2017: 7359-7368 - [c45]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 - [c44]Christopher Beckham, Christopher J. Pal:
Unimodal Probability Distributions for Deep Ordinal Classification. ICML 2017: 411-419 - [c43]Eugene Vorontsov, Chiheb Trabelsi, Samuel Kadoury, Chris Pal:
On orthogonality and learning recurrent networks with long term dependencies. ICML 2017: 3570-3578 - [c42]Evan Racah, Christopher Beckham, Tegan Maharaj, Samira Ebrahimi Kahou, Prabhat, Chris Pal:
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events. NIPS 2017: 3402-3413 - [c41]Sandeep Subramanian, Sai Rajeswar, Francis Dutil, Chris Pal, Aaron C. Courville:
Adversarial Generation of Natural Language. Rep4NLP@ACL 2017: 241-251 - [i27]Eugene Vorontsov, Chiheb Trabelsi, Samuel Kadoury, Chris Pal:
On orthogonality and learning recurrent networks with long term dependencies. CoRR abs/1702.00071 (2017) - [i26]Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury:
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation. CoRR abs/1702.05174 (2017) - [i25]Chiheb Trabelsi, Olexa Bilaniuk, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal:
Deep Complex Networks. CoRR abs/1705.09792 (2017) - [i24]Sai Rajeswar, Sandeep Subramanian, Francis Dutil, Christopher Joseph Pal, Aaron C. Courville:
Adversarial Generation of Natural Language. CoRR abs/1705.10929 (2017) - [i23]Christopher Beckham, Christopher Joseph Pal:
A step towards procedural terrain generation with GANs. CoRR abs/1707.03383 (2017) - [i22]Eugene Vorontsov, Gabriel Chartrand, An Tang, Chris Pal, Samuel Kadoury:
Liver lesion segmentation informed by joint liver segmentation. CoRR abs/1707.07734 (2017) - [i21]Yikang Shen, Shawn Tan, Christopher Joseph Pal, Aaron C. Courville:
Self-organized Hierarchical Softmax. CoRR abs/1707.08588 (2017) - [i20]Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Chris Pal, Yoshua Bengio:
Twin Networks: Using the Future as a Regularizer. CoRR abs/1708.06742 (2017) - [i19]Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Joseph Pal, Jan Kautz:
Improving Landmark Localization with Semi-Supervised Learning. CoRR abs/1709.01591 (2017) - [i18]Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal, Yoshua Bengio:
Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks. CoRR abs/1711.02326 (2017) - [i17]Anirudh Goyal, Nan Rosemary Ke, Alex Lamb, R. Devon Hjelm, Chris Pal, Joelle Pineau, Yoshua Bengio:
ACtuAL: Actor-Critic Under Adversarial Learning. CoRR abs/1711.04755 (2017) - 2016
- [j9]Chetan Bhole, Christopher Joseph Pal:
Fully automatic person segmentation in unconstrained video using spatio-temporal conditional random fields. Image Vis. Comput. 51: 58-68 (2016) - [j8]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: 125-140 (2016) - [j7]Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Çaglar Gülçehre, Vincent Michalski, Kishore 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 Joseph Pal, Yoshua Bengio:
EmoNets: Multimodal deep learning approaches for emotion recognition in video. J. Multimodal User Interfaces 10(2): 99-111 (2016) - [c40]Sina Honari, Jason Yosinski, Pascal Vincent, Christopher J. Pal:
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation. CVPR 2016: 5743-5752 - [c39]Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal:
The Importance of Skip Connections in Biomedical Image Segmentation. LABELS/DLMIA@MICCAI 2016: 179-187 - [c38]Nicolas Ballas, Li Yao, Chris Pal, Aaron C. Courville:
Delving Deeper into Convolutional Networks for Learning Video Representations. ICLR (Poster) 2016 - [i16]Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang:
Theano: A Python framework for fast computation of mathematical expressions. CoRR abs/1605.02688 (2016) - [i15]Anna Rohrbach, Atousa Torabi, Marcus Rohrbach, Niket Tandon, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville, Bernt Schiele:
Movie Description. CoRR abs/1605.03705 (2016) - [i14]David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Aaron C. Courville, Chris Pal:
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. CoRR abs/1606.01305 (2016) - [i13]Joel Moniz, Christopher J. Pal:
Convolutional Residual Memory Networks. CoRR abs/1606.05262 (2016) - [i12]Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal:
The Importance of Skip Connections in Biomedical Image Segmentation. CoRR abs/1608.04117 (2016) - [i11]Tegan Maharaj, Nicolas Ballas, Aaron C. Courville, Christopher Joseph Pal:
A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering. CoRR abs/1611.07810 (2016) - [i10]Christopher Beckham, Christopher J. Pal:
A simple squared-error reformulation for ordinal classification. CoRR abs/1612.00775 (2016) - [i9]Evan Racah, Christopher Beckham, Tegan Maharaj, Prabhat, Christopher J. Pal:
Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets. CoRR abs/1612.02095 (2016) - 2015
- [j6]David Rim, Md. Kamrul Hasan, Fannie Puech, Christopher J. Pal:
Learning from weakly labeled faces and video in the wild. Pattern Recognit. 48(3): 759-771 (2015) - [c37]Mohamed Hamza Ibrahim, Christopher J. Pal, Gilles Pesant:
Exploiting Determinism to Scale Relational Inference. AAAI 2015: 1756-1762 - [c36]Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville:
Describing Videos by Exploiting Temporal Structure. ICCV 2015: 4507-4515 - [c35]Samira Ebrahimi Kahou, Vincent Michalski, Kishore Reddy Konda, Roland Memisevic, Christopher Joseph Pal:
Recurrent Neural Networks for Emotion Recognition in Video. ICMI 2015: 467-474 - [c34]Mohammad Havaei, Francis Dutil, Chris Pal, Hugo Larochelle, Pierre-Marc Jodoin:
A Convolutional Neural Network Approach to Brain Tumor Segmentation. Brainles@MICCAI 2015: 195-208 - [i8]Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher Joseph Pal, Hugo Larochelle, Aaron C. Courville:
Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention Mechanism. CoRR abs/1502.08029 (2015) - [i7]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 abs/1503.01070 (2015) - [i6]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 abs/1503.01800 (2015) - [i5]Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle:
Brain Tumor Segmentation with Deep Neural Networks. CoRR abs/1505.03540 (2015) - [i4]Md. Kamrul Hasan, Christopher J. Pal:
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation. CoRR abs/1511.05643 (2015) - [i3]Félix G. Harvey, Christopher J. Pal:
Semi-supervised Learning with Encoder-Decoder Recurrent Neural Networks: Experiments with Motion Capture Sequences. CoRR abs/1511.06653 (2015) - [i2]Sina Honari, Jason Yosinski, Pascal Vincent, Christopher J. Pal:
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation. CoRR abs/1511.07356 (2015) - [i1]David Rim, Sina Honari, Md. Kamrul Hasan, Chris Pal:
Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression. CoRR abs/1512.08212 (2015) - 2014
- [j5]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): 301-325 (2014) - [c33]Md. Kamrul Hasan, Christopher Joseph Pal:
Experiments on Visual Information Extraction with the Faces of Wikipedia. AAAI 2014: 51-58 - [c32]Samira Ebrahimi Kahou, Pierre Froumenty, Christopher J. Pal:
Facial Expression Analysis Based on High Dimensional Binary Features. ECCV Workshops (2) 2014: 135-147 - 2013
- [c31]Md. Kamrul Hasan, Christopher J. Pal, Sharon Moalem:
Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models. ICCV Workshops 2013: 362-369 - [c30]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: 543-550 - 2012
- [j4]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): 319-337 (2012) - [c29]Chetan Bhole, Christopher J. Pal:
Automated person segmentation in videos. ICPR 2012: 3672-3675 - 2011
- [c28]Bin Wei, Christopher J. Pal:
Heterogeneous Transfer Learning with RBMs. AAAI 2011: 531-536 - [c27]David Rim, Kamrul Hassan, Christopher J. Pal:
Semi Supervised Learning for Wild Faces and Video. BMVC 2011: 1-12 - [c26]Lam C. Tran, Ramsin Khoshabeh, Ankit K. Jain, Christopher J. Pal, Truong Q. Nguyen:
Spatially consistent view synthesis with coordinate alignment. ICASSP 2011: 905-908 - [c25]Chetan Bhole, Nicholas Morsillo, Christopher J. Pal:
3D Segmentation in CT Imagery with Conditional Random Fields and Histograms of Oriented Gradients. MLMI 2011: 326-334 - [c24]Md. Kamrul Hasan, Christopher J. Pal:
Improving alignment of faces for recognition. ROSE 2011: 249-254 - 2010
- [c23]Bin Wei, Christopher J. Pal:
Cross Lingual Adaptation: An Experiment on Sentiment Classifications. ACL (2) 2010: 258-262 - [c22]Lam C. Tran, Christopher J. Pal, Truong Q. Nguyen:
View synthesis based on Conditional Random Fields and graph cuts. ICIP 2010: 433-436 - [p1]Nicholas Morsillo, Gideon S. Mann, Christopher J. Pal:
YouTube Scale, Large Vocabulary Video Annotation. Video Search and Mining 2010: 357-386
2000 – 2009
- 2009
- [c21]Ross Messing, Christopher J. Pal:
Behavior Recognition in Video with Extended Models of Feature Velocity Dynamics. AAAI Spring Symposium: Human Behavior Modeling 2009: 56-61 - [c20]Ross Messing, Christopher J. Pal, Henry A. Kautz:
Activity recognition using the velocity histories of tracked keypoints. ICCV 2009: 104-111 - [c19]Nicholas Morsillo, Christopher J. Pal, Randal Nelson:
Semi-Supervised Learning of Visual Classifiers from Web Images and Text. IJCAI 2009: 1169-1174 - 2008
- [c18]Jerod J. Weinman, Lam C. Tran, Christopher J. Pal:
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing. ECCV (1) 2008: 617-630 - 2007
- [j3]Manjunatha Jagalur, Chris Pal, Erik G. Learned-Miller, R. Thomas Zoeller, David Kulp:
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering. BMC Bioinform. 8(S-10) (2007) - [c17]Daniel Scharstein, Chris Pal:
Learning Conditional Random Fields for Stereo. CVPR 2007 - [c16]Pallika H. Kanani, Andrew McCallum, Chris Pal:
Improving Author Coreference by Resource-Bounded Information Gathering from the Web. IJCAI 2007: 429-434 - [c15]Gregory Druck, Chris Pal, Andrew McCallum, Xiaojin Zhu:
Semi-supervised classification with hybrid generative/discriminative methods. KDD 2007: 280-289 - [c14]Xuerui Wang, Chris Pal, Andrew McCallum:
Generalized component analysis for text with heterogeneous attributes. KDD 2007: 794-803 - 2006
- [j2]Patrick Baudisch, Desney S. Tan, Drew Steedly, Eric Rudolph, Matthew Uyttendaele, Chris Pal, Richard Szeliski:
An Exploration of User Interface Designs for Real-Time Panoramic. Australas. J. Inf. Syst. 13(2) (2006) - [c13]Andrew McCallum, Chris Pal, Gregory Druck, Xuerui Wang:
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification. AAAI 2006: 433-439 - [c12]Chris Pal:
CC Prediction with Graphical Models. CEAS 2006 - [c11]Chris Pal, Charles Sutton, Andrew McCallum:
Sparse Forward-Backward Using Minimum Divergence Beams for Fast Training Of Conditional Random Fields. ICASSP (5) 2006: 581-584 - [c10]B. Michael Kelm, Chris Pal, Andrew McCallum:
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning. ICPR (2) 2006: 828-832 - 2005
- [j1]Aseem Agarwala, Ke Colin Zheng, Chris Pal, Maneesh Agrawala, Michael F. Cohen, Brian Curless, David Salesin, Richard Szeliski:
Panoramic video textures. ACM Trans. Graph. 24(3): 821-827 (2005) - [c9]Chris Pal, Nebojsa Jojic:
Interactive Montages of Sprites for Indexing and Summarizing Security Video. CVPR (2) 2005: 1192 - [c8]Drew Steedly, Chris Pal, Richard Szeliski:
Efficiently Registering Video into Panoramic Mosaics. ICCV 2005: 1300-1307 - [c7]Patrick Baudisch, Desney S. Tan, Drew Steedly, Eric Rudolph, Matthew Uyttendaele, Chris Pal, Richard Szeliski:
Panoramic viewfinder: providing a real-time preview to help users avoid flaws in panoramic pictures. OZCHI 2005 - 2004
- [c6]Chris Pal, Richard Szeliski, Matthew Uyttendaele, Nebojsa Jojic:
Probability Models for High Dynamic Range Imaging. CVPR (2) 2004: 173-180 - 2002
- [c5]Chris Pal, Brendan J. Frey, Nebojsa Jojic:
Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance. ECCV (4) 2002: 715-731 - [c4]Chris Pal, Brendan J. Frey, Trausti T. Kristjansson:
Noise robust speech recognition using Gaussian basis functions for non-linear likelihood function approximation. ICASSP 2002: 405-408
1990 – 1999
- 1999
- [c3]Sarah Dorner, Christopher J. Pal:
Case Libraries and Information Theoretic Case Matching for Soil and Water Resources Management. ISESS 1999: 42-48 - 1998
- [c2]Chris Pal:
A technique for illustrating dynamic component level interactions within a software architecture. CASCON 1998: 18 - 1997
- [c1]I. Scott MacKenzie, R. William Soukoreff, Chris Pal:
A Two-Ball Mouse Affords Three Degrees of Freedom. CHI Extended Abstracts 1997: 303-304
Coauthor Index
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