C. Pal

发表

Theano: A Python framework for fast computation of mathematical expressions pdf

John Salvatier, Razvan Pascanu, Sina Honari, 2016, ArXiv.

Towards Standardization of Data Licenses: The Montreal Data License pdf

Christopher Joseph Pal, Yoshua Bengio, Negar Rostamzadeh, 2019, ArXiv.

Fast Inference and Learning with Sparse Belief Propagation

C. Pal, Charles Sutton, A. McCallum, 2005 .

Describing Videos by Exploiting Temporal Structure

Christopher Joseph Pal, Li Yao, Hugo Larochelle, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research pdf

Christopher Joseph Pal, Hugo Larochelle, Aaron C. Courville, 2015, ArXiv.

Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention Mechanism pdf

Christopher Joseph Pal, Li Yao, Hugo Larochelle, 2015, ArXiv.

Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation

Sina Honari, Pascal Vincent, Christopher Joseph Pal, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding

Christopher Joseph Pal, Yoshua Bengio, Jonathan Binas, 2018, NeurIPS.

A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms pdf

Christopher Joseph Pal, Yoshua Bengio, Tristan Deleu, 2019, ICLR.

Improving facial analysis and performance driven animation through disentangling identity and expression

Sina Honari, Christopher Joseph Pal, Md. Kamrul Hasan, 2015, Image Vis. Comput..

Exploiting Determinism to Scale Relational Inference

Christopher Joseph Pal, Gilles Pesant, Mohamed Hamza Ibrahim, 2015, AAAI.

Movie Description

Christopher Joseph Pal, Bernt Schiele, Marcus Rohrbach, 2016, International Journal of Computer Vision.

Combining modality specific deep neural networks for emotion recognition in video

Razvan Pascanu, Christopher Joseph Pal, Yoshua Bengio, 2013, ICMI '13.

EmoNets: Multimodal deep learning approaches for emotion recognition in video

Christopher Joseph Pal, Yoshua Bengio, Yann Dauphin, 2015, Journal on Multimodal User Interfaces.

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing pdf

Yang Zhang, Christopher Joseph Pal, Bernhard Schölkopf, 2020, ArXiv.

Cross Lingual Adaptation: An Experiment on Sentiment Classifications

Christopher Joseph Pal, Bin Wei, C. Pal, 2010, ACL.

Improving alignment of faces for recognition

Christopher Joseph Pal, Md. Kamrul Hasan, C. Pal, 2011, 2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE).

View synthesis based on Conditional Random Fields and graph cuts

Truong Q. Nguyen, Christopher Joseph Pal, Lam C. Tran, 2010, 2010 IEEE International Conference on Image Processing.

Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models

Christopher Joseph Pal, Md. Kamrul Hasan, Sharon Moalem, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

Learning Conditional Random Fields for Stereo

Christopher Joseph Pal, Daniel Scharstein, D. Scharstein, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Deep Complex Networks pdf

Sandeep Subramanian, Yoshua Bengio, Chiheb Trabelsi, 2017, ICLR.

Semi-supervised classification with hybrid generative/discriminative methods

Christopher Joseph Pal, Andrew McCallum, Xiaojin Zhu, 2007, KDD '07.

Activity recognition using the velocity histories of tracked keypoints

Christopher Joseph Pal, Henry A. Kautz, Ross Messing, 2009, 2009 IEEE 12th International Conference on Computer Vision.

On Learning Conditional Random Fields for Stereo Exploring Model Structures and Approximate Inference

Lam C. Tran, D. Scharstein, C. Pal, 2010 .

The Liver Tumor Segmentation Benchmark (LiTS) pdf

Hao Chen, Leo Joskowicz, Alexandre Hostettler, 2019, Medical Image Anal..

A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering

Tegan Maharaj, Aaron C. Courville, Aaron Courville, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A step towards procedural terrain generation with GANs pdf

Christopher Joseph Pal, Christopher Beckham, C. Pal, 2017, ArXiv.

Recurrent Neural Networks for Emotion Recognition in Video

Christopher Joseph Pal, Roland Memisevic, Samira Ebrahimi Kahou, 2015, ICMI.

Predictive Random Fields : Latent Variable Models Fit by Multiway Conditional Probability with Applications to Document Analysis

C. Pal, A. McCallum, Xuerui Wang, 2005 .

Constrained Kronecker Deltas for Fast Approximate Inference and Estimation

C. Pal, Charles Sutton, A. McCallum, 2005 .

Université de Montréal Balancing Signals for Semi-Supervised Sequence Learning

Aaron C. Courville, C. Pal, Y. Bengio, 2020 .

Deep Learning: A Primer for Radiologists.

C. Pal, P. Cheng, S. Kadoury, 2017, Radiographics : a review publication of the Radiological Society of North America, Inc.

Inferring Identity Factors for Grouped Examples

Aaron C. Courville, C. Pal, Shawn Tan, 2018 .

Deep Convolutional Networks with Non-convolutional Recurrent Memory for Structured Prediction

Joel Ruben Antony Moniz, C. Pal, 2017 .

PROMOTING COORDINATION

Félix G. Harvey, C. Pal, Derek Nowrouzezahrai, 2019 .

Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification

Christopher Joseph Pal, Andrew McCallum, Gregory Druck, 2006, AAAI.

Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases.

Samuel Kadoury, Eugene Vorontsov, Milena Cerny, 2019, Radiology. Artificial intelligence.

Arxiv preprint using ICLR template A DVERSARIAL M IXUP R ESYNTHESIZERS

R. Devon Hjelm, Sina Honari, Alex Lamb, 2019 .

A Convolutional Neural Network Approach to Brain Lesion Segmentation

Mohammad Havaei, Hugo Larochelle, Pierre-Marc Jodoin, 2015 .

Towards an Unsupervised Method for Model Selection in Few-Shot Learning

C. Pal, Vikas Verma, Simon Guiroy, 2020 .

Recurrent Encoder Multi-Decoder Networks, Semi-supervised Classification and Constrained Adversarial Generation

Félix G. Harvey, C. Pal, 2015, 1511.06653.

3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning

C. Pal, David Rim, A. Wismüller, 2014, Machine Vision and Applications.

Retrieving Signals in the Frequency Domain with Deep Complex Extractors

Chiheb Trabelsi, Mirco Ravanelli, Jonathan Binas, 2019 .

Receptive Field Refinement for Convolutional Neural Networks Reliably Improves Predictive Performance

Mats L. Richter, C. Pal, 2022, ArXiv.

On Learning Conditional Random Fields for Stereo

Lam C. Tran, C. Pal, J. Weinman, 2012, International Journal of Computer Vision.

Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization

Joelle Pineau, C. Pal, Derek Nowrouzezahrai, 2020, NeurIPS.

Improving probabilistic inference in graphical models with determinism and cycles

Christopher Joseph Pal, Gilles Pesant, Mohamed Hamza Ibrahim, 2016, Machine Learning.

Exploring Structural Inductive Biases in Emergent Communication pdf

Abhinav Gupta, Sean B. Holden, William L. Hamilton, 2020, ArXiv.

Promoting Coordination through Policy Regularization in Multi-Agent Reinforcement Learning pdf

Derek Nowrouzezahrai, Christopher Pal, Félix G. Harvey, 2019, NeurIPS.

Analyzing structural priors in multi-agent communication

William L. Hamilton, A. Gupta, C. Pal, 2020 .

Unsupervised Depth Estimation, 3D Face Rotation and Replacement

Sina Honari, Christopher Joseph Pal, Christopher Beckham, 2018, NeurIPS.

Learning from weakly labeled faces and video in the wild

Christopher Joseph Pal, Md. Kamrul Hasan, David Rim, 2015, Pattern Recognit..

Retrieving Signals with Deep Complex Extractors

Chiheb Trabelsi, Mirco Ravanelli, Jonathan Binas, 2019 .

Self-organized Hierarchical Softmax pdf

Christopher Joseph Pal, Aaron C. Courville, Yikang Shen, 2017, ArXiv.

ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events

Prabhat, Christopher Joseph Pal, Christopher Beckham, 2016, NIPS.

Brain tumor segmentation with Deep Neural Networks

Christopher Joseph Pal, Mohammad Havaei, Yoshua Bengio, 2015, Medical Image Anal..

Robust motion in-betweening

Derek Nowrouzezahrai, Christopher Pal, Félix G. Harvey, 2020, ACM Trans. Graph..

Recurrent transition networks for character locomotion

Christopher Joseph Pal, Félix G. Harvey, C. Pal, 2018, SIGGRAPH Asia Technical Briefs.

Convolutional networks for kidney segmentation in contrast-enhanced CT scans

Christopher Joseph Pal, Samuel Kadoury, William E. Thong, 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

The Importance of Skip Connections in Biomedical Image Segmentation pdf

Christopher Joseph Pal, Samuel Kadoury, Michal Drozdzal, 2016, LABELS/DLMIA@MICCAI.

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models

C. Pal, Sandeep Subramanian, Raymond Li, 2020, EMNLP.

RATM: Recurrent Attentive Tracking Model

Christopher Joseph Pal, Roland Memisevic, Samira Ebrahimi Kahou, 2015, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data

C. Pal, Jonathan Pilault, Amine Elhattami, 2020, ICLR.

Towards Deep Conversational Recommendations

Christopher Joseph Pal, Hannes Schulz, Samira Ebrahimi Kahou, 2018, NeurIPS.

Interactive Machine Comprehension with Information Seeking Agents

Marc-Alexandre Côté, C. Pal, Adam Trischler, 2019, ACL.

Interactive Language Learning by Question Answering pdf

Christopher Joseph Pal, Yoshua Bengio, Jie Fu, 2019, EMNLP.

Fashion-Gen: The Generative Fashion Dataset and Challenge pdf

Ying Zhang, Christopher Joseph Pal, Wojciech Stokowiec, 2018, ArXiv.

Delving Deeper into Convolutional Networks for Learning Video Representations pdf

Christopher Joseph Pal, Li Yao, Aaron C. Courville, 2015, ICLR.

Measuring Systematic Generalization in Neural Proof Generation with Transformers pdf

Siva Reddy, Koustuv Sinha, Christopher Pal, 2020, NeurIPS.

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments pdf

Evan Racah, Christopher Pal, C. Pal, 2019, ArXiv.

Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study

Christopher Joseph Pal, Yoshua Bengio, A. P. Sarath Chandar, 2019, ACL.

Improving Landmark Localization with Semi-Supervised Learning

Sina Honari, Pavlo Molchanov, Stephen Tyree, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

On orthogonality and learning recurrent networks with long term dependencies

Christopher Joseph Pal, Chiheb Trabelsi, Samuel Kadoury, 2017, ICML.

Structure Learning for Neural Module Networks

Christopher Joseph Pal, Jie Fu, A. P. Sarath Chandar, 2019, EMNLP.

Role-Wise Data Augmentation for Knowledge Distillation pdf

Jie Fu, Adam Trischler, Bohan Zhuang, 2020, ArXiv.

Action-Based Representation Learning for Autonomous Driving

C. Pal, Felipe Codevilla, Antonio M. López, 2020, Conference on Robot Learning.

Learning normalized inputs for iterative estimation in medical image segmentation

Christopher Joseph Pal, Yoshua Bengio, Lisa Di-Jorio, 2017, Medical Image Anal..

Reinforced active learning for image segmentation pdf

Pedro H. O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, 2020, ICLR.

Towards Text Generation with Adversarially Learned Neural Outlines

Christopher Joseph Pal, Sandeep Subramanian, Aaron C. Courville, 2018, NeurIPS.

Semi Supervised Learning for Wild Faces and Video

Christopher Joseph Pal, Kamrul Hassan, David Rim, 2011, British Machine Vision Conference.

A Survey of Mobile Computing for the Visually Impaired pdf

Christopher Joseph Pal, Joseph Paul Cohen, Martin Weiss, 2018, ArXiv.

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning pdf

Christopher Joseph Pal, Sandeep Subramanian, Yoshua Bengio, 2018, ICLR.

Reinforcement Learning with Random Delays

C. Pal, Jonathan Binas, G. Beltrame, 2020, ICLR.

Automated person segmentation in videos

Christopher Joseph Pal, Chetan Bhole, C. Pal, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Beyond Target Networks: Improving Deep Q-learning with Functional Regularization

Gian Maria Marconi, C. Pal, M. E. Khan, 2021, ArXiv.

Twin Networks: Matching the Future for Sequence Generation

Christopher Joseph Pal, Yoshua Bengio, Dmitriy Serdyuk, 2017, ICLR.

Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing

Christopher Joseph Pal, Jerod J. Weinman, Lam C. Tran, 2008, ECCV.

Sparse Forward-Backward Using Minimum Divergence Beams for Fast Training Of Conditional Random Fields

Christopher Joseph Pal, Andrew McCallum, Charles A. Sutton, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Sparse Message Passing and Efficiently Learning Random Fields for Stereo Vision

Chris Pal, Daniel Scharstein, Jerod J. Weinman, 2007 .

On Learning Conditional Random Fields for Stereo Exploring Model Structures and Approximate Inference

Lam C. Tran, C. Pal, J. Weinman, 2010 .

Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets pdf

Prabhat, Christopher Joseph Pal, Christopher Beckham, 2016, ArXiv.

A simple squared-error reformulation for ordinal classification pdf

Christopher Joseph Pal, Christopher Beckham, C. Pal, 2016, ArXiv.

Focused Hierarchical RNNs for Conditional Sequence Processing pdf

Joelle Pineau, Christopher Joseph Pal, Yoshua Bengio, 2018, ICML.

Experiments on Visual Information Extraction with the Faces of Wikipedia

Christopher Joseph Pal, Md. Kamrul Hasan, C. Pal, 2014, AAAI.

ACtuAL: Actor-Critic Under Adversarial Learning pdf

Joelle Pineau, Christopher Joseph Pal, Yoshua Bengio, 2017, ArXiv.

Twin Networks: Using the Future as a Regularizer pdf

Christopher Joseph Pal, Yoshua Bengio, Dmitriy Serdyuk, 2017, ArXiv.

AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation

Aaron C. Courville, Aaron Courville, Chin-Wei Huang, 2020, ICML.

A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation

Christopher Joseph Pal, Md. Kamrul Hasan, C. Pal, 2015, ACM Trans. Knowl. Discov. Data.

Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning

C. Pal, Jiancheng Lv, Jie Fu, 2019, AAAI.

Generalized component analysis for text with heterogeneous attributes

Christopher Joseph Pal, Andrew McCallum, Xuerui Wang, 2007, KDD '07.

Fully automatic person segmentation in unconstrained video using spatio-temporal conditional random fields

Christopher Joseph Pal, Chetan Bhole, C. Pal, 2016, Image Vis. Comput..

A Convolutional Neural Network Approach to Brain Tumor Segmentation

Christopher Joseph Pal, Mohammad Havaei, Hugo Larochelle, 2015, Brainles@MICCAI.

Beyond Target Networks: Improving Deep Q-learning with Functional Regularization

Gian Maria Marconi, C. Pal, M. E. Khan, 2021, ArXiv.

Adversarial Mixup Resynthesizers pdf

Sina Honari, Christopher Joseph Pal, Christopher Beckham, 2019, DGS@ICLR.

Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning

Christopher Joseph Pal, Andrew McCallum, B. Michael Kelm, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

CLAREL: Classification via retrieval loss for zero-shot learning

Pedro H. O. Pinheiro, Boris N. Oreshkin, C. Pal, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Learning to Summarize Long Texts with Memory Compression and Transfer pdf

Jaehong Park, Jonathan Pilault, Christopher Pal, 2020, ArXiv.

Transfer Learning for Enhancing Information Flow in Organizations and Social Networks

Andrew McCallum, Chris Pal, Xuerui Wang, 2007 .

Learning Sparse Mixture of Experts for Visual Question Answering pdf

Jie Fu, Christopher J. Pal, Vardaan Pahuja, 2019, ArXiv.

Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences

Christopher Joseph Pal, Jie Fu, Yi Tay, 2020, ACL.

Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks pdf

Christopher Joseph Pal, Yoshua Bengio, Jonathan Binas, 2017, ArXiv.

Noise robust speech recognition using Gaussian basis functions for non-linear likelihood function approximation

Brendan J. Frey, Christopher Joseph Pal, Trausti T. Kristjansson, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Unimodal Probability Distributions for Deep Ordinal Classification

Christopher Joseph Pal, Christopher Beckham, C. Pal, 2017, ICML.

Combining modality specific deep neural networks for emotion recognition in video

Aaron C. Courville, Samira Ebrahimi Kahou, Raul Chandias Ferrari, 2013, ICMI '13.

Revision in Continuous Space: Fine-Grained Control of Text Style Transfer

Dayiheng Liu, Jie Fu, Jiancheng Lv, 2019, ArXiv.

Adversarial Generation of Natural Language pdf

Sandeep Subramanian, Aaron C. Courville, Francis Dutil, 2017, Rep4NLP@ACL.

Recurrent semi-supervised classification and constrained adversarial generation with motion capture data

Christopher Joseph Pal, Félix G. Harvey, Julien Roy, 2015, Image Vis. Comput..

ArK: Augmented Reality with Knowledge Interactive Emergent Ability

Paul N. Bennett, Yejin Choi, C. Pal, 2023, ArXiv.