A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm

1 October 2023

Papers citing "A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm"

9 / 9 papers shown

Title
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu Wei Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 93 0 0 27 Apr 2025
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning Yiqin Lv Qi Wang Dong Liang Zheng Xie 44 3 0 30 Oct 2024
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression Yixiu Mao Qi Wang Chen Chen Yun Qu Xiangyang Ji OffRL 53 6 0 25 Oct 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 77 7 0 28 Jul 2024
Domain Generalization through Meta-Learning: A Survey Arsham Gholamzadeh Khoee Yinan Yu R. Feldt AI4CE OOD 45 16 0 03 Apr 2024
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis Qi Chen Changjian Shui M. Marchand 40 43 0 29 Sep 2021
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 398 11,700 0 09 Mar 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016