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Oral
Thu Jun 13 06:00 AM -- 06:20 AM (KST) @ Room 201
Domain Agnostic Learning with Disentangled Representations
Xingchao Peng · Zijun Huang · Ximeng Sun · Kate Saenko
[ Video
Oral
Thu Jun 13 06:20 AM -- 06:25 AM (KST) @ Room 201
Composing Value Functions in Reinforcement Learning
Benjamin van Niekerk · Steven James · Adam Earle · Benjamin Rosman
Oral
Thu Jun 13 06:25 AM -- 06:30 AM (KST) @ Room 201
Fast Context Adaptation via Meta-Learning
Luisa Zintgraf · Kyriacos Shiarlis · Vitaly Kurin · Katja Hofmann · Shimon Whiteson
[ Slides [ Video
Oral
Thu Jun 13 06:30 AM -- 06:35 AM (KST) @ Room 201
Provable Guarantees for Gradient-Based Meta-Learning
Nina Balcan · Mikhail Khodak · Ameet Talwalkar
[ Slides [ Video
Oral
Thu Jun 13 06:35 AM -- 06:40 AM (KST) @ Room 201
Towards Understanding Knowledge Distillation
Mary Phuong · Christoph H. Lampert
[ Slides [ Video
Oral
Thu Jun 13 06:40 AM -- 07:00 AM (KST) @ Room 201
Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers
Hong Liu · Mingsheng Long · Jianmin Wang · Michael Jordan
[ Slides [ Video
Oral
Thu Jun 13 07:00 AM -- 07:05 AM (KST) @ Room 201
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation
Xinyang Chen · Sinan Wang · Mingsheng Long · Jianmin Wang
[ Slides [ Video
Oral
Thu Jun 13 07:05 AM -- 07:10 AM (KST) @ Room 201
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization
Giulia Denevi · Carlo Ciliberto · Riccardo Grazzi · Massimiliano Pontil
[ Slides [ Video
Oral
Thu Jun 13 07:10 AM -- 07:15 AM (KST) @ Room 201
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning
Asa Cooper Stickland · Iain Murray
[ Slides [ Video
Oral
Thu Jun 13 07:15 AM -- 07:20 AM (KST) @ Room 201
Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation
Kaichao You · Ximei Wang · Mingsheng Long · Michael Jordan