Linear unit-tests for invariance discovery

Linear unit-tests for invariance discovery

22 February 2021

Martín Arjovsky

David Lopez-Paz

Papers citing "Linear unit-tests for invariance discovery"

13 / 13 papers shown

Title
Towards a Better Evaluation of Out-of-Domain Generalization Duhun Hwang Suhyun Kang Moonjung Eo Jimyeong Kim Wonjong Rhee 64 0 0 30 May 2024
Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection Mohammad Azizmalayeri Reza Abbasi Amir Hosein Haji Mohammad Rezaie Reihaneh Zohrabi Mahdi Amiri M. T. Manzuri M. Rohban 19 0 0 31 Oct 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 13 21 0 04 Apr 2023
Decorr: Environment Partitioning for Invariant Learning and OOD Generalization Yufan Liao Qi Wu Zhaodi Wu Xing Yan 13 4 0 18 Nov 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 56 320 0 06 Apr 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Jean-Christophe Gagnon-Audet Kartik Ahuja Mohammad Javad Darvishi Bayazi Pooneh Mousavi G. Dumas Irina Rish OOD CML AI4TS 37 29 0 18 Mar 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery Haoxiang Wang Haozhe Si Bo-wen Li Han Zhao OOD 67 33 0 30 Jan 2022
Conditional entropy minimization principle for learning domain invariant representation features Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 34 7 0 25 Jan 2022
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 63 519 0 31 Aug 2021
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments Yining Chen Elan Rosenfeld Mark Sellke Tengyu Ma Andrej Risteski OOD 33 33 0 18 Jun 2021
On Invariance Penalties for Risk Minimization Kia Khezeli Arno Blaas Frank Soboczenski N. Chia John Kalantari 20 16 0 17 Jun 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization Kartik Ahuja Ethan Caballero Dinghuai Zhang Jean-Christophe Gagnon-Audet Yoshua Bengio Ioannis Mitliagkas Irina Rish OOD 15 253 0 11 Jun 2021
When is invariance useful in an Out-of-Distribution Generalization problem ? Masanori Koyama Shoichiro Yamaguchi OOD 34 65 0 04 Aug 2020