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Adversarially Robust Few-Shot Learning: A Meta-Learning Approach

Adversarially Robust Few-Shot Learning: A Meta-Learning Approach

2 October 2019
Micah Goldblum
Liam H. Fowl
Tom Goldstein
ArXivPDFHTML

Papers citing "Adversarially Robust Few-Shot Learning: A Meta-Learning Approach"

4 / 4 papers shown
Title
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OOD
TTA
82
7
0
28 Jul 2024
A Simple Approach to Adversarial Robustness in Few-shot Image
  Classification
A Simple Approach to Adversarial Robustness in Few-shot Image Classification
Akshayvarun Subramanya
Hamed Pirsiavash
VLM
29
6
0
11 Apr 2022
Adaptive Adversarial Training for Meta Reinforcement Learning
Adaptive Adversarial Training for Meta Reinforcement Learning
Shiqi Chen
Zhengyu Chen
Donglin Wang
30
6
0
27 Apr 2021
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
466
11,715
0
09 Mar 2017
1