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 / 112 papers shown

Title
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification Miaoyun Zhao Qiang Zhang C. Li 31 0 0 11 May 2025
Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models Mishal Fatima Steffen Jung M. Keuper 40 0 0 06 May 2025
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers Quentin Guimard Moreno DÍncà Massimiliano Mancini Elisa Ricci SSL 72 0 0 29 Apr 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 70 1 0 24 Apr 2025
Are We Done with Object-Centric Learning? Alexander Rubinstein Ameya Prabhu Matthias Bethge Seong Joon Oh OCL 631 0 0 09 Apr 2025
Severing Spurious Correlations with Data Pruning Varun Mulchandani Jung-Eun Kim 150 0 0 24 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness B. Zhu Jiequan Cui Hanwang Zhang Chi Zhang 85 0 0 12 Mar 2025
Ensemble Debiasing Across Class and Sample Levels for Fairer Prompting Accuracy Ruixi Lin Ziqiao Wang Yang You FaML 86 1 0 07 Mar 2025
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Géraldin Nanfack Eugene Belilovsky 59 0 0 10 Feb 2025
Sebra: Debiasing Through Self-Guided Bias Ranking Adarsh Kappiyath Abhra Chaudhuri Ajay Jaiswal Ziquan Liu Yunpeng Li Xiatian Zhu L. Yin CML 116 1 1 30 Jan 2025
Refining Skewed Perceptions in Vision-Language Models through Visual Representations Haocheng Dai Sarang Joshi VLM 74 0 0 03 Jan 2025
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations Chenyu You Haocheng Dai Yifei Min Jasjeet Sekhon S. Joshi James S. Duncan 65 2 0 01 Jan 2025
Alpha and Prejudice: Improving $α$ -sized Worst-case Fairness via Intrinsic Reweighting Jing Li Yinghua Yao Yuangang Pan Xuanqian Wang Ivor Tsang Xiuju Fu FaML 37 0 0 05 Nov 2024
Distributionally robust self-supervised learning for tabular data Shantanu Ghosh Tiankang Xie Mikhail Kuznetsov OOD 24 1 0 11 Oct 2024
Organizing Unstructured Image Collections using Natural Language Mingxuan Liu Zhun Zhong Jun Li Gianni Franchi Subhankar Roy Elisa Ricci VLM 39 3 0 07 Oct 2024
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets Tianjian Li Haoran Xu Weiting Tan Kenton Murray Daniel Khashabi 35 1 0 06 Oct 2024
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging Magdalini Paschali Yu Hang Jiang Spencer Siegel Camila Gonzalez K. Pohl Akshay S. Chaudhari Qingyu Zhao 20 0 0 01 Oct 2024
UnLearning from Experience to Avoid Spurious Correlations Jeff Mitchell Jesús Martínez del Rincón Niall McLaughlin 36 0 0 04 Sep 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 67 0 0 01 Jul 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 54 0 0 15 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 40 0 0 14 Jun 2024
Language-guided Detection and Mitigation of Unknown Dataset Bias Zaiying Zhao Soichiro Kumano Toshihiko Yamasaki 41 2 0 05 Jun 2024
Towards a Better Evaluation of Out-of-Domain Generalization Duhun Hwang Suhyun Kang Moonjung Eo Jimyeong Kim Wonjong Rhee 59 0 0 30 May 2024
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair Jeonghoon Park Chaeyeon Chung Juyoung Lee Jaegul Choo 37 2 0 30 Apr 2024
Novel Node Category Detection Under Subpopulation Shift Hsing-Huan Chung Shravan Chaudhari Yoav Wald Xing Han Joydeep Ghosh 36 1 0 01 Apr 2024
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models Samuel Marks Can Rager Eric J. Michaud Yonatan Belinkov David Bau Aaron Mueller 46 112 0 28 Mar 2024
Are Compressed Language Models Less Subgroup Robust? Leonidas Gee Andrea Zugarini Novi Quadrianto 33 1 0 26 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 58 0 0 13 Mar 2024
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations GuanWen Qiu Da Kuang Surbhi Goel 27 8 0 05 Mar 2024
Identifying Spurious Correlations using Counterfactual Alignment Joseph Paul Cohen Louis Blankemeier Akshay S. Chaudhari CML 55 1 0 01 Dec 2023
REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes George Hughes Ilija Bogunovic Zi Wang 34 3 0 01 Dec 2023
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
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 31 34 0 29 Oct 2023
RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation Yue Zhang Leyang Cui Enbo Zhao Wei Bi Shuming Shi 38 6 0 11 Oct 2023
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics Yupei Du Albert Gatt Dong Nguyen 31 1 0 10 Oct 2023
Bias Amplification Enhances Minority Group Performance Gaotang Li Jiarui Liu Wei Hu 28 5 0 13 Sep 2023
Zero-Shot Robustification of Zero-Shot Models Dyah Adila Changho Shin Lin Cai Frederic Sala 38 18 0 08 Sep 2023
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations? Phuong Quynh Le Jorg Schlotterer Christin Seifert OOD 16 6 0 01 Aug 2023
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn OOD 16 5 0 19 Jun 2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning Patrik Okanovic R. Waleffe Vasilis Mageirakos Konstantinos E. Nikolakakis Amin Karbasi Dionysis Kalogerias Nezihe Merve Gürel Theodoros Rekatsinas DD 45 12 0 28 May 2023
Targeted Data Generation: Finding and Fixing Model Weaknesses Zexue He Marco Tulio Ribeiro Fereshte Khani 29 13 0 28 May 2023
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models Yuhui Zhang Michihiro Yasunaga Zhengping Zhou Jeff Z. HaoChen James Zou Percy Liang Serena Yeung 47 7 0 27 May 2023
Rectifying Group Irregularities in Explanations for Distribution Shift Adam Stein Yinjun Wu Eric Wong Mayur Naik 31 1 0 25 May 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Yangqiu Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 37 2 0 23 May 2023
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis Oscar Chew Hsuan-Tien Lin Kai-Wei Chang Kuan-Hao Huang 34 5 0 23 May 2023
Debiased Automatic Speech Recognition for Dysarthric Speech via Sample Reweighting with Sample Affinity Test Eungbeom Kim Yunkee Chae Jaeheon Sim Kyogu Lee 17 1 0 22 May 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization Ting Wu Rui Zheng Tao Gui Qi Zhang Xuanjing Huang 41 2 0 20 May 2023
Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo Chamber Rui Hu Yahan Tu Jitao Sang 32 2 0 06 May 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks Lorenz Linhardt Klaus-Robert Muller G. Montavon AAML 26 7 0 12 Apr 2023
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning Yu Yang Besmira Nushi Hamid Palangi Baharan Mirzasoleiman 39 36 0 08 Apr 2023