Timezone: »
Best Papers and Closing Remarks
Ali Ghodsi · Pascal Poupart
Mon Dec 13 04:00 PM -- 04:10 PM (PST) @
We will announce the best paper and the best poster awards.
Author Information
Ali Ghodsi (University of Waterloo)
Pascal Poupart (University of Waterloo & Vector Institute)
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 -
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