Meta-Learned Invariant Risk Minimization

24 March 2021

Papers citing "Meta-Learned Invariant Risk Minimization"

9 / 9 papers shown

Title
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 245 128 0 04 Jan 2021
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective Kartik Ahuja Jun Wang Amit Dhurandhar Karthikeyan Shanmugam Kush R. Varshney OOD 81 79 0 30 Oct 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 300 644 0 19 Sep 2019
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks Haebeom Lee Hayeon Lee Donghyun Na Saehoon Kim Minseop Park Eunho Yang Sung Ju Hwang BDL OODD 58 107 0 30 May 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 87 1,836 0 06 May 2019
Deep Bilevel Learning Simon Jenni Paolo Favaro NoLa 56 115 0 05 Sep 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 221 2,229 0 08 Mar 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 798 11,866 0 09 Mar 2017
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 114 966 0 06 Jan 2015