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ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous
  Meta-Learning

ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning

27 September 2021
Zhe Wang
J. E. Grigsby
Arshdeep Sekhon
Yanjun Qi
ArXivPDFHTML

Papers citing "ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning"

5 / 5 papers shown
Title
Augmented Adversarial Trigger Learning
Augmented Adversarial Trigger Learning
Zhe Wang
Yanjun Qi
53
0
0
16 Mar 2025
Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy
  Generalization with Global and Adaptive Guidance
Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance
Zhe Wang
Haozhu Wang
Yanjun Qi
OffRL
76
0
0
01 Dec 2024
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
191
498
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
165
666
0
07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
252
11,677
0
09 Mar 2017
1