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Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #41
Adaptive Gradient-Based Meta-Learning Methods
In Algorithms -- Meta-Learning
Misha Khodak · Maria-Florina Balcan · Ameet Talwalkar
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #42
Guided Meta-Policy Search
In Algorithms -- Meta-Learning
Russell Mendonca · Abhishek Gupta · Rosen Kralev · Pieter Abbeel · Sergey Levine · Chelsea Finn
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #43
Learning to Propagate for Graph Meta-Learning
In Algorithms -- Meta-Learning
LU LIU · Tianyi Zhou · Guodong Long · Jing Jiang · Chengqi Zhang
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #44
Meta Learning with Relational Information for Short Sequences
In Algorithms -- Meta-Learning
Yujia Xie · Haoming Jiang · Feng Liu · Tuo Zhao · Hongyuan Zha
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #45
Meta-Curvature
In Algorithms -- Meta-Learning
Eunbyung Park · Junier Oliva
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #46
Meta-Learning Representations for Continual Learning
In Algorithms -- Meta-Learning
Khurram Javed · Martha White
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #47
Meta-Learning with Implicit Gradients
In Algorithms -- Meta-Learning
Aravind Rajeswaran · Chelsea Finn · Sham Kakade · Sergey Levine
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #48
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
In Algorithms -- Meta-Learning
Jun Shu · Qi Xie · Lixuan Yi · Qian Zhao · Sanping Zhou · Zongben Xu · Deyu Meng
[ Paper] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #49
Self-Supervised Generalisation with Meta Auxiliary Learning
In Algorithms -- Meta-Learning
Shikun Liu · Andrew Davison · Edward Johns
[ Paper]  [ Poster]