| Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning | Xinyang Chen · Sinan Wang · Bo Fu · Mingsheng Long · Jianmin Wang |
| Continual Unsupervised Representation Learning | Dushyant Rao · Francesco Visin · Andrei Rusu · Razvan Pascanu · Yee Whye Teh · Raia Hadsell |
| Gradient based sample selection for online continual learning | Rahaf Aljundi · Min Lin · Baptiste Goujaud · Yoshua Bengio |
| Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks | Joshua Lee · Prasanna Sattigeri · Gregory Wornell |
| Learning Sample-Specific Models with Low-Rank Personalized Regression | Ben Lengerich · Bryon Aragam · Eric Xing |
| MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies | Xue Bin Peng · Michael Chang · Grace Zhang · Pieter Abbeel · Sergey Levine |
| Transfer Anomaly Detection by Inferring Latent Domain Representations | Atsutoshi Kumagai · Tomoharu Iwata · Yasuhiro Fujiwara |
| Transferable Normalization: Towards Improving Transferability of Deep Neural Networks | Ximei Wang · Ying Jin · Mingsheng Long · Jianmin Wang · Michael Jordan |
| Uncertainty-based Continual Learning with Adaptive Regularization | Hongjoon Ahn · Sungmin Cha · Donggyu Lee · Taesup Moon |
| Better Transfer Learning with Inferred Successor Maps | Tamas Madarasz · Tim Behrens |
| Compacting, Picking and Growing for Unforgetting Continual Learning | Ching-Yi Hung · Cheng-Hao Tu · Cheng-En Wu · Chien-Hung Chen · Yi-Ming Chan · Chu-Song Chen |
| Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift | Stephan Rabanser · Stephan Günnemann · Zachary Lipton |
| Generalization in multitask deep neural classifiers: a statistical physics approach | Anthony Ndirango · Tyler Lee |
| Hierarchical Optimal Transport for Multimodal Distribution Alignment | John Lee · Max Dabagia · Eva Dyer · Christopher Rozell |
| Learning Robust Global Representations by Penalizing Local Predictive Power | Haohan Wang · Songwei Ge · Zachary Lipton · Eric Xing |
| Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains | Elliot Meyerson · Risto Miikkulainen |
| Online Continual Learning with Maximal Interfered Retrieval | Rahaf Aljundi · Eugene Belilovsky · Tinne Tuytelaars · Laurent Charlin · Massimo Caccia · Min Lin · Lucas Page-Caccia |
| Pareto Multi-Task Learning | Xi Lin · Hui-Ling Zhen · Zhenhua Li · Qing-Fu Zhang · Sam Kwong |
| Transfer Learning via Minimizing the Performance Gap Between Domains | Boyu Wang · Jorge Mendez · Mingbo Cai · Eric Eaton |