9   Show all »
9 Program Highlights »
Toggle Poster Visibility
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #39
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning
Xinyang Chen · Sinan Wang · Bo Fu · Mingsheng Long · Jianmin Wang
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #40
Continual Unsupervised Representation Learning
Dushyant Rao · Francesco Visin · Andrei Rusu · Razvan Pascanu · Yee Whye Teh · Raia Hadsell
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #41
Gradient based sample selection for online continual learning
Rahaf Aljundi · Min Lin · Baptiste Goujaud · Yoshua Bengio
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #42
Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks
Joshua Lee · Prasanna Sattigeri · Gregory Wornell
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #43
Learning Sample-Specific Models with Low-Rank Personalized Regression
Ben Lengerich · Bryon Aragam · Eric Xing
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #44
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
Xue Bin Peng · Michael Chang · Grace Zhang · Pieter Abbeel · Sergey Levine
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #45
Transfer Anomaly Detection by Inferring Latent Domain Representations
Atsutoshi Kumagai · Tomoharu Iwata · Yasuhiro Fujiwara
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #46
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks
Ximei Wang · Ying Jin · Mingsheng Long · Jianmin Wang · Michael Jordan
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #47
Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn · Sungmin Cha · Donggyu Lee · Taesup Moon