Model Patching: Closing the Subgroup Performance Gap with Data Augmentation

15 August 2020

Papers citing "Model Patching: Closing the Subgroup Performance Gap with Data Augmentation"

50 / 141 papers shown

Title
Test-Time Adaptation by Causal Trimming Yingnan Liu Rui Qiao Mong-Li Lee Wynne Hsu CML TTA 86 0 0 13 Oct 2025
High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization Masih Aminbeidokhti H. R. Medeiros Srikanth Muralidharan Eric Granger M. Pedersoli OOD 32 0 0 08 Oct 2025
Improving Group Robustness on Spurious Correlation via Evidential Alignment Wenqian Ye Guangtao Zheng Aidong Zhang 175 2 0 12 Jun 2025
Group-robust Machine Unlearning Thomas De Min Subhankar Roy Stéphane Lathuilière Elisa Ricci Goran Frehse MU OOD 236 1 0 12 Mar 2025
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering DatasetsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Preetam Prabhu Srikar Dammu Himanshu Naidu Chirag Shah 292 3 0 06 Mar 2025
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Géraldin Nanfack Eugene Belilovsky 189 1 0 10 Feb 2025
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language ModelsACM Symposium on Applied Computing (SAC), 2024 Donggeun Ko Dongjun Lee Namjun Park Wonkyeong Shim Jaekwang Kim DiffM 158 0 0 25 Nov 2024
Off-Policy Selection for Initiating Human-Centric Experimental DesignNeural Information Processing Systems (NeurIPS), 2024 Ge Gao Xi Yang Qitong Gao Song Ju Miroslav Pajic Min Chi OffRL 187 0 0 26 Oct 2024
Process Reward Model with Q-Value RankingsInternational Conference on Learning Representations (ICLR), 2024 W. Li Yixuan Li LRM 341 47 0 15 Oct 2024
WAPITI: A Watermark for Finetuned Open-Source LLMs Lingjie Chen Ruizhong Qiu Siyu Yuan Zhining Liu Tianxin Wei Hyunsik Yoo Zhichen Zeng Deqing Yang Hanghang Tong WaLM 178 12 0 09 Oct 2024
Control+Shift: Generating Controllable Distribution Shifts Roy Friedman Rhea Chowers 143 0 0 12 Sep 2024
AI Competitions and Benchmarks: Dataset Development Romain Egele Julio C. S. Jacques Junior Jan N. van Rijn Isabelle M Guyon Xavier Baró Albert Clapés Dali Wang Sergio Escalera T. Moeslund Jun Wan 117 0 0 15 Apr 2024
On the Learnability of Out-of-distribution Detection Zhen Fang Shouqing Yang Yifan Zhang Bo Han Jie Lu 92 9 0 07 Apr 2024
Debiasing surgeon: fantastic weights and how to find them Rémi Nahon Ivan Luiz De Moura Matos Van-Tam Nguyen Enzo Tartaglione 110 1 0 21 Mar 2024
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks Jinyung Hong Eunyeong Jeon Changhoon Kim Keun Hee Park Utkarsh Nath Yezhou Yang Pavan Turaga Theodore P. Pavlic CML 154 0 0 21 Mar 2024
Ask Your Distribution Shift if Pre-Training is Right for You Benjamin Cohen-Wang Joshua Vendrow Aleksander Madry OOD 146 3 0 29 Feb 2024
Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities Mahdi Erfanian H. V. Jagadish Abolfazl Asudeh 125 6 0 02 Feb 2024
ARGS: Alignment as Reward-Guided SearchInternational Conference on Learning Representations (ICLR), 2024 Maxim Khanov Jirayu Burapacheep Yixuan Li 238 87 0 23 Jan 2024
Unraveling the Key Components of OOD Generalization via Diversification Harold Benoit Liangze Jiang Andrei Atanov Ouguzhan Fatih Kar Mattia Rigotti Amir Zamir CML 232 3 0 26 Dec 2023
Multitask Learning Can Improve Worst-Group Outcomes Atharva Kulkarni Lucio Dery Amrith Rajagopal Setlur Aditi Raghunathan Ameet Talwalkar Graham Neubig 131 2 0 05 Dec 2023
REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training Jiaxu Zhao Lu Yin Shiwei Liu Meng Fang Mykola Pechenizkiy 143 4 0 05 Dec 2023
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering Jiazhi Li Mahyar Khayatkhoei Jiageng Zhu Hanchen Xie Mohamed E. Hussein Wael AbdAlmageed 116 3 0 13 Nov 2023
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test DataNeural Information Processing Systems (NeurIPS), 2023 B. V. Breugel Nabeel Seedat F. Imrie M. Schaar SyDa 111 34 0 25 Oct 2023
Domain Generalization for Medical Image Analysis: A SurveyProceedings of the IEEE (Proc. IEEE), 2023 Jee Seok Yoon Kwanseok Oh Yooseung Shin Maciej A Mazurowski Heung-Il Suk LM&MA OOD 197 30 0 05 Oct 2023
Towards Last-layer Retraining for Group Robustness with Fewer AnnotationsNeural Information Processing Systems (NeurIPS), 2023 Tyler LaBonte Vidya Muthukumar Abhishek Kumar 203 51 0 15 Sep 2023
Bias Amplification Enhances Minority Group Performance Gaotang Li Jiarui Liu Wei Hu 155 8 0 13 Sep 2023
Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations Nilesh Kumar Ruby Shrestha Zhiyuan Li Linwei Wang CML OOD 137 2 0 12 Aug 2023
Robust Learning with Progressive Data Expansion Against Spurious CorrelationNeural Information Processing Systems (NeurIPS), 2023 Yihe Deng Yu Yang Baharan Mirzasoleiman Quanquan Gu OOD MLT 155 40 0 08 Jun 2023
On Counterfactual Data Augmentation Under Confounding Abbavaram Gowtham Reddy Saketh Bachu Saloni Dash Charchit Sharma Amit Sharma V. Balasubramanian CML BDL 207 2 0 29 May 2023
Rectifying Group Irregularities in Explanations for Distribution Shift Adam Stein Yinjun Wu Eric Wong Mayur Naik 166 1 0 25 May 2023
Opening the random forest black box by the analysis of the mutual impact of features Luca Voges Lukas C. Jarren Stephan Seifert 95 14 0 05 Apr 2023
$Δ$ -Patching: A Framework for Rapid Adaptation of Pre-trained Convolutional Networks without Base Performance Loss Chaitanya Devaguptapu Samarth Sinha K. J. Joseph V. Balasubramanian Animesh Garg 199 1 0 26 Mar 2023
Distributionally Robust Optimization with Probabilistic GroupAAAI Conference on Artificial Intelligence (AAAI), 2023 Soumya Suvra Ghosal Shouqing Yang OOD 90 12 0 10 Mar 2023
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?International Conference on Machine Learning (ICML), 2023 Ruisi Cai Zhenyu Zhang Zhangyang Wang AAML OOD 167 15 0 24 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown BiasInternational Journal of Computer Vision (IJCV), 2023 Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 124 1 0 22 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 130 5 0 11 Feb 2023
Efficient Conditionally Invariant Representation LearningInternational Conference on Learning Representations (ICLR), 2022 Roman Pogodin Namrata Deka Yazhe Li Danica J. Sutherland Victor Veitch Arthur Gretton BDL OOD CML 171 17 0 16 Dec 2022
Editing Models with Task ArithmeticInternational Conference on Learning Representations (ICLR), 2022 Gabriel Ilharco Marco Tulio Ribeiro Mitchell Wortsman Suchin Gururangan Ludwig Schmidt Hannaneh Hajishirzi Ali Farhadi KELM MoMe MU 664 677 0 08 Dec 2022
Data Models for Dataset Drift Controls in Machine Learning With Optical Images Luis Oala Marco Aversa Gabriel Nobis Kurt Willis Yoan Neuenschwander ... E. Pomarico Wojciech Samek Roderick Murray-Smith Christoph Clausen B. Sanguinetti 153 6 0 04 Nov 2022
Counterfactual Generation Under Confounding Abbavaram Gowtham Reddy Saloni Dash Amit Sharma V. Balasubramanian CML 189 2 0 22 Oct 2022
Just Mix Once: Worst-group Generalization by Group Interpolation Giorgio Giannone Serhii Havrylov Jordan Massiah Emine Yilmaz Yunlong Jiao 147 2 0 21 Oct 2022
Training Debiased Subnetworks with Contrastive Weight PruningComputer Vision and Pattern Recognition (CVPR), 2022 Geon Yeong Park Sangmin Lee Sang Wan Lee Jong Chul Ye CML 168 15 0 11 Oct 2022
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis Laurent Risser Agustin Picard Lucas Hervier Jean-Michel Loubes FaML 130 6 0 10 Oct 2022
The Causal Structure of Domain Invariant Supervised Representation Learning Zihao Wang Victor Veitch CML OOD 121 4 0 15 Aug 2022
RealPatch: A Statistical Matching Framework for Model Patching with Real SamplesEuropean Conference on Computer Vision (ECCV), 2022 Sara Romiti C. Inskip V. Sharmanska Novi Quadrianto 107 2 0 03 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Yongfeng Zhang Xingxu Xie Masashi Sugiyama OOD 174 1 0 03 Aug 2022
Transferring Fairness under Distribution Shifts via Fair Consistency RegularizationNeural Information Processing Systems (NeurIPS), 2022 Bang An Zora Che Mucong Ding Furong Huang 149 34 0 26 Jun 2022
How unfair is private learning ?Conference on Uncertainty in Artificial Intelligence (UAI), 2022 Amartya Sanyal Yaxian Hu Fanny Yang FaML FedML 160 25 0 08 Jun 2022
Improved Group Robustness via Classifier Retraining on Independent Splits Thien Hai Nguyen Hongyang R. Zhang Huy Le Nguyen OOD 184 2 0 20 Apr 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive LearningInternational Conference on Machine Learning (ICML), 2022 Mayee F. Chen Daniel Y. Fu A. Narayan Michael Zhang Zhao Song Kayvon Fatahalian Christopher Ré SSL 144 54 0 15 Apr 2022