More from the Same Authors

• 2022 Poster: Optimality and Stability in Non-Convex Smooth Games »
  Guojun Zhang · Pascal Poupart · Yaoliang Yu
• 2022 : DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low Rank Adaptation »
  Mojtaba Valipour · Mehdi Rezaghoizadeh · Ivan Kobyzev · Ali Ghodsi
• 2022 : SymbolicGPT: A Generative Transformer Model for Symbolic Regression »
  Mojtaba Valipour · Bowen You · Maysum H Panju · Ali Ghodsi
• 2022 : Improved Knowledge Distillation by Utilizing Backward Pass Knowledge in Neural Networks »
  Aref Jafari · Mehdi Rezaghoizadeh · Ali Ghodsi
• 2022 : Attribute Controlled Dialogue Prompting »
  Runcheng Liu · Ahmad Rashid · Ivan Kobyzev · Mehdi Rezaghoizadeh · Pascal Poupart
• 2022 : Geometric attacks on batch normalization »
  Amur Ghose · Apurv Gupta · Yaoliang Yu · Pascal Poupart
• 2023 Poster: Batchnorm Allows Unsupervised Radial Attacks »
  Amur Ghose · Apurv Gupta · Yaoliang Yu · Pascal Poupart
• 2023 Poster: An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient »
  Yudong Luo · Guiliang Liu · Pascal Poupart · Yangchen Pan
• 2023 Poster: Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations »
  Guanren Qiao · Guiliang Liu · Pascal Poupart · Zhiqiang Xu
• 2022 Spotlight: Optimality and Stability in Non-Convex Smooth Games »
  Guojun Zhang · Pascal Poupart · Yaoliang Yu
• 2022 : Attribute Controlled Dialogue Prompting »
  Runcheng Liu · Ahmad Rashid · Ivan Kobyzev · Mehdi Rezaghoizadeh · Pascal Poupart
• 2022 Workshop: Second Workshop on Efficient Natural Language and Speech Processing (ENLSP-II) »
  Mehdi Rezagholizadeh · Peyman Passban · Yue Dong · Lili Mou · Pascal Poupart · Ali Ghodsi · Qun Liu
• 2022 Poster: Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game »
  Guiliang Liu · Yudong Luo · Oliver Schulte · Pascal Poupart
• 2021 : Panel Discussion »
  Pascal Poupart · Ali Ghodsi · Luke Zettlemoyer · Sameer Singh · Kevin Duh · Yejin Choi · Lu Hou
• 2021 : Opening of the Afternoon Session »
  Ali Ghodsi
• 2021 Workshop: Efficient Natural Language and Speech Processing (Models, Training, and Inference) »
  Mehdi Rezaghoizadeh · Lili Mou · Yue Dong · Pascal Poupart · Ali Ghodsi · Qun Liu
• 2021 : Opening Speech »
  Pascal Poupart
• 2021 Poster: Quantifying and Improving Transferability in Domain Generalization »
  Guojun Zhang · Han Zhao · Yaoliang Yu · Pascal Poupart
• 2021 Poster: Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning »
  Guiliang Liu · Xiangyu Sun · Oliver Schulte · Pascal Poupart
• 2020 Poster: Learning Agent Representations for Ice Hockey »
  Guiliang Liu · Oliver Schulte · Pascal Poupart · Mike Rudd · Mehrsan Javan
• 2020 Poster: Learning Dynamic Belief Graphs to Generalize on Text-Based Games »
  Ashutosh Adhikari · Xingdi Yuan · Marc-Alexandre Côté · Mikuláš Zelinka · Marc-Antoine Rondeau · Romain Laroche · Pascal Poupart · Jian Tang · Adam Trischler · Will Hamilton
• 2018 Workshop: Reinforcement Learning under Partial Observability »
  Joni Pajarinen · Chris Amato · Pascal Poupart · David Hsu
• 2018 Poster: Deep Homogeneous Mixture Models: Representation, Separation, and Approximation »
  Priyank Jaini · Pascal Poupart · Yaoliang Yu
• 2018 Poster: Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks »
  Agastya Kalra · Abdullah Rashwan · Wei-Shou Hsu · Pascal Poupart · Prashant Doshi · George Trimponias
• 2018 Poster: Unsupervised Video Object Segmentation for Deep Reinforcement Learning »
  Vikash Goel · Jameson Weng · Pascal Poupart
• 2018 Poster: Monte-Carlo Tree Search for Constrained POMDPs »
  Jongmin Lee · Geon-Hyeong Kim · Pascal Poupart · Kee-Eung Kim
• 2016 Poster: Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics »
  Wei-Shou Hsu · Pascal Poupart
• 2016 Poster: A Unified Approach for Learning the Parameters of Sum-Product Networks »
  Han Zhao · Pascal Poupart · Geoffrey Gordon