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Poster
Mon 2:30 Contrastive Meta-Learning for Partially Observable Few-Shot Learning
Adam Jelley · Amos Storkey · Antreas Antoniou · Sam Devlin
Oral
Tue 6:20 STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam · Jihoon Tack · Kyungmin Lee · Hankook Lee · Jinwoo Shin
Poster
Tue 7:30 STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam · Jihoon Tack · Kyungmin Lee · Hankook Lee · Jinwoo Shin
Poster
Tue 7:30 MARS: Meta-learning as Score Matching in the Function Space
Kruno Lehman · Jonas Rothfuss · Andreas Krause
Oral
Tue 1:10 Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang · Hankook Lee · Jinwoo Shin
Poster
Tue 2:30 Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang · Hankook Lee · Jinwoo Shin
Oral
Tue 7:00 MARS: Meta-learning as Score Matching in the Function Space
Kruno Lehman · Jonas Rothfuss · Andreas Krause
Poster
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
Wenlin Chen · Austin Tripp · José Miguel Hernández Lobato
Poster
Tue 7:30 Meta-Learning in Games
Keegan Harris · Ioannis Anagnostides · Gabriele Farina · Mikhail Khodak · Steven Wu · Tuomas Sandholm
Poster
Understanding Train-Validation Split in Meta-Learning with Neural Networks
Xinzhe Zuo · Zixiang Chen · Huaxiu Yao · Yuan Cao · Quanquan Gu
Poster
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
Yu Duan · Zhongfan Jia · Qian Li · Yi Zhong · Kaisheng Ma