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Oral
Wed Jun 12 02:00 PM -- 02:20 PM (PDT) @ Room 201
Domain Agnostic Learning with Disentangled Representations
Xingchao Peng · Zijun Huang · Ximeng Sun · Kate Saenko
Oral
Wed Jun 12 02:20 PM -- 02:25 PM (PDT) @ Room 201
Composing Value Functions in Reinforcement Learning
Benjamin van Niekerk · Steven James · Adam Earle · Benjamin Rosman
Oral
Wed Jun 12 02:25 PM -- 02:30 PM (PDT) @ Room 201
Fast Context Adaptation via Meta-Learning
Luisa Zintgraf · Kyriacos Shiarlis · Vitaly Kurin · Katja Hofmann · Shimon Whiteson
Oral
Wed Jun 12 02:30 PM -- 02:35 PM (PDT) @ Room 201
Provable Guarantees for Gradient-Based Meta-Learning
Nina Balcan · Mikhail Khodak · Ameet Talwalkar
Oral
Wed Jun 12 02:35 PM -- 02:40 PM (PDT) @ Room 201
Towards Understanding Knowledge Distillation
Mary Phuong · Christoph H. Lampert
Oral
Wed Jun 12 02:40 PM -- 03:00 PM (PDT) @ Room 201
Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers
Hong Liu · Mingsheng Long · Jianmin Wang · Michael Jordan
Oral
Wed Jun 12 03:00 PM -- 03:05 PM (PDT) @ Room 201
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation
Xinyang Chen · Sinan Wang · Mingsheng Long · Jianmin Wang
Oral
Wed Jun 12 03:05 PM -- 03:10 PM (PDT) @ Room 201
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization
Giulia Denevi · Carlo Ciliberto · Riccardo Grazzi · Massimiliano Pontil
Oral
Wed Jun 12 03:10 PM -- 03:15 PM (PDT) @ Room 201
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning
Asa Cooper Stickland · Iain Murray
Oral
Wed Jun 12 03:15 PM -- 03:20 PM (PDT) @ Room 201
Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation
Kaichao You · Ximei Wang · Mingsheng Long · Michael Jordan