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Poster
Mon 1:00 Batch Reinforcement Learning Through Continuation Method
Yijie Guo · Shengyu Feng · Nicolas Le Roux · Ed H. Chi · Honglak Lee · Minmin Chen
Poster
Mon 1:00 Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
Zhiqiang Shen · Zhiqiang Shen · Dejia Xu · Zitian Chen · Kwang-Ting Cheng · Marios Savvides
Poster
Mon 17:00 Random Feature Attention
Hao Peng · Nikolaos Pappas · Dani Yogatama · Roy Schwartz · Noah Smith · Lingpeng Kong
Poster
Mon 17:00 DeLighT: Deep and Light-weight Transformer
Sachin Mehta · Marjan Ghazvininejad · Srini Iyer · Luke Zettlemoyer · Hannaneh Hajishirzi
Poster
Mon 17:00 PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Yuliang Zou · Zizhao Zhang · Han Zhang · Chun-Liang Li · Xiao Bian · Jia-Bin Huang · Tomas Pfister
Poster
Tue 9:00 Uncertainty Estimation in Autoregressive Structured Prediction
Andrey Malinin · Mark Gales
Poster
Tue 9:00 Nearest Neighbor Machine Translation
Urvashi Khandelwal · Angela Fan · Dan Jurafsky · Luke Zettlemoyer · Mike Lewis
Poster
Tue 17:00 Generating Adversarial Computer Programs using Optimized Obfuscations
Shashank Srikant · Sijia Liu · Tamara Mitrovska · Shiyu Chang · Quanfu Fan · Gaoyuan Zhang · Una-May O'Reilly
Poster
Wed 9:00 Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF
Atanas Mirchev · Baris Kayalibay · Patrick van der Smagt · Justin Bayer
Poster
Wed 17:00 Learning and Evaluating Representations for Deep One-Class Classification
Kihyuk Sohn · Chun-Liang Li · Jinsung Yoon · Minho Jin · Tomas Pfister
Poster
Wed 17:00 Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation
Jungo Kasai · Nikolaos Pappas · Hao Peng · James Cross · Noah Smith
Poster
Wed 17:00 Estimating Lipschitz constants of monotone deep equilibrium models
Chirag Pabbaraju · Ezra Winston · Zico Kolter