Just Train Twice: Improving Group Robustness without Training Group Information

19 July 2021

Pang Wei Koh

Papers citing "Just Train Twice: Improving Group Robustness without Training Group Information"

50 / 113 papers shown

Title
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 35 31 0 23 Mar 2023
Domain Generalization via Nuclear Norm Regularization Zhenmei Shi Yifei Ming Ying Fan Frederic Sala Yingyu Liang 30 12 0 13 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 191 30 0 09 Mar 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 31 1 0 22 Feb 2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn VLM 32 9 0 10 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access A. Veldanda Ivan Brugere Sanghamitra Dutta Alan Mishler S. Garg 39 5 0 02 Feb 2023
Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 29 10 0 30 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation Younghyun Kim Sangwoo Mo Minkyu Kim Kyungmin Lee Jaeho Lee Jinwoo Shin 40 32 0 26 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang OODD 39 60 0 24 Jan 2023
Look Beyond Bias with Entropic Adversarial Data Augmentation Thomas Duboudin Emmanuel Dellandréa Corentin Abgrall Gilles Hénaff Liming Luke Chen CML 35 4 0 10 Jan 2023
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 23 3 0 14 Dec 2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations Raghav Mehta Vítor Albiero Li Chen Ivan Evtimov Tamar Glaser Zhiheng Li Tal Hassner 26 17 0 12 Dec 2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others Zhiheng Li Ivan Evtimov Albert Gordo C. Hazirbas Tal Hassner Cristian Canton Ferrer Chenliang Xu Mark Ibrahim 34 71 0 09 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases Mazda Moayeri Wenxiao Wang Sahil Singla S. Feizi 69 14 0 05 Dec 2022
Avoiding spurious correlations via logit correction Sheng Liu Xu Zhang Nitesh Sekhar Yue Wu Prateek Singhal C. Fernandez‐Granda 25 29 0 02 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 26 2 0 01 Dec 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 27 10 0 28 Nov 2022
Decorr: Environment Partitioning for Invariant Learning and OOD Generalization Yufan Liao Qi Wu Zhaodi Wu Xing Yan 13 4 0 18 Nov 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling Inwoo Hwang Sangjun Lee Yunhyeok Kwak Seong Joon Oh Damien Teney Jin-Hwa Kim Byoung-Tak Zhang OOD 326 28 0 04 Nov 2022
Outlier-Aware Training for Improving Group Accuracy Disparities Li-Kuang Chen Canasai Kruengkrai Junichi Yamagishi 29 0 0 27 Oct 2022
Sufficient Invariant Learning for Distribution Shift Taero Kim Sungjun Lim Kyungwoo Song OOD 31 2 0 24 Oct 2022
Finding Dataset Shortcuts with Grammar Induction Dan Friedman Alexander Wettig Danqi Chen 25 14 0 20 Oct 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee Annie S. Chen Fahim Tajwar Ananya Kumar Huaxiu Yao Percy Liang Chelsea Finn OOD 58 197 0 20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 34 117 0 20 Oct 2022
Categorizing Semantic Representations for Neural Machine Translation Yongjing Yin Yafu Li Fandong Meng Jie Zhou Yue Zhang 24 6 0 13 Oct 2022
Training Debiased Subnetworks with Contrastive Weight Pruning Geon Yeong Park Sangmin Lee Sang Wan Lee Jong Chul Ye CML 32 13 0 11 Oct 2022
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization Eesha Kumar Yiming Zhang S. Pini Simon Stent Ana Ferreira Sergey Zagoruyko C. Perone OffRL 20 1 0 05 Oct 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore Saeid Asgari Taghanaki Aliasghar Khani Fereshte Khani A. Gholami Linh-Tam Tran Ali Mahdavi-Amiri Ghassan Hamarneh AAML 41 45 0 30 Sep 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 42 27 0 20 Sep 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 53 34 0 19 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 42 7 0 19 Sep 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 29 16 0 25 Aug 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 34 84 0 25 Aug 2022
Repeated Environment Inference for Invariant Learning Aayush Mishra Anqi Liu BDL OOD 28 0 0 26 Jul 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift Ananya Kumar Tengyu Ma Percy Liang Aditi Raghunathan UQCV OODD OOD 42 38 0 18 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness Michael Zhang Christopher Ré VLM 18 61 0 14 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 23 90 0 29 Jun 2022
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 27 20 0 29 Jun 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Sihang Li Xiang Wang An Zhang Y. Wu Xiangnan He Tat-Seng Chua 24 93 0 16 Jun 2022
Revisiting the Importance of Amplifying Bias for Debiasing Jungsoo Lee Jeonghoon Park Daeyoung Kim Juyoung Lee E. Choi Jaegul Choo 45 21 0 29 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 38 78 0 06 May 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 17 20 0 28 Apr 2022
Unsupervised Learning of Unbiased Visual Representations C. Barbano Enzo Tartaglione Marco Grangetto SSL CML OOD 27 1 0 26 Apr 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning Mayee F. Chen Daniel Y. Fu A. Narayan Michael Zhang Zhao-quan Song Kayvon Fatahalian Christopher Ré SSL 32 47 0 15 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 49 318 0 06 Apr 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha Kushal Kafle Christopher Kanan CML 33 13 0 05 Apr 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen R. Pfohl Marzyeh Ghassemi 23 65 0 23 Mar 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 32 29 0 18 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness Tejas Gokhale Swaroop Mishra Man Luo Bhavdeep Singh Sachdeva Chitta Baral 52 29 0 15 Mar 2022