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Poster
Wed 18:30 Provable Guarantees for Gradient-Based Meta-Learning
Nina Balcan · Mikhail Khodak · Ameet Talwalkar
Poster
Thu 18:30 Hierarchically Structured Meta-learning
Huaxiu Yao · Ying WEI · Junzhou Huang · Zhenhui (Jessie) Li
Poster
Tue 18:30 Online Meta-Learning
Chelsea Finn · Aravind Rajeswaran · Sham Kakade · Sergey Levine
Poster
Wed 18:30 Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation
Xinyang Chen · Sinan Wang · Mingsheng Long · Jianmin Wang
Poster
Wed 18:30 Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers
Hong Liu · Mingsheng Long · Jianmin Wang · Michael Jordan
Poster
Wed 18:30 Domain Agnostic Learning with Disentangled Representations
Xingchao Peng · Zijun Huang · Ximeng Sun · Kate Saenko
Poster
Thu 18:30 Learning What and Where to Transfer
Yunhun Jang · Hankook Lee · Sung Ju Hwang · Jinwoo Shin
Poster
Tue 18:30 TibGM: A Transferable and Information-Based Graphical Model Approach for Reinforcement Learning
Tameem Adel · Adrian Weller
Poster
Wed 18:30 Learning-to-Learn Stochastic Gradient Descent with Biased Regularization
Giulia Denevi · Carlo Ciliberto · Riccardo Grazzi · Massimiliano Pontil
Poster
Wed 18:30 Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation
Kaichao You · Ximei Wang · Mingsheng Long · Michael Jordan
Poster
Thu 18:30 Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang · Tianle Liu · Mingsheng Long · Michael Jordan
Poster
Wed 18:30 Fast Context Adaptation via Meta-Learning
Luisa Zintgraf · Kyriacos Shiarlis · Vitaly Kurin · Katja Hofmann · Shimon Whiteson