Towards Last-layer Retraining for Group Robustness with Fewer Annotations

15 September 2023

Papers citing "Towards Last-layer Retraining for Group Robustness with Fewer Annotations"

35 / 35 papers shown

Title
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification Miaoyun Zhao Qiang Zhang C. Li 21 0 0 11 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 62 1 0 24 Apr 2025
Intermediate Layer Classifiers for OOD generalization Arnas Uselis Seong Joon Oh OOD 42 0 0 07 Apr 2025
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds Michael-Andrei Panaitescu-Liess Yigitcan Kaya Sicheng Zhu Furong Huang Tudor Dumitras AAML 37 0 0 02 Apr 2025
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions Rui Qiao Zhaoxuan Wu Jingtan Wang Pang Wei Koh Bryan Kian Hsiang Low OOD 42 2 0 10 Mar 2025
The Pitfalls of Memorization: When Memorization Hurts Generalization Reza Bayat Mohammad Pezeshki Elvis Dohmatob David Lopez-Paz Pascal Vincent OOD 92 3 0 10 Dec 2024
Optimizing importance weighting in the presence of sub-population shifts Floris Holstege Bram Wouters Noud van Giersbergen C. Diks 24 0 0 18 Oct 2024
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation Mahdi Ghaznavi Hesam Asadollahzadeh Fahimeh Hosseini Noohdani Soroush Vafaie Tabar Hosein Hasani Taha Akbari Alvanagh M. Rohban M. Baghshah 22 0 0 07 Oct 2024
Efficient Bias Mitigation Without Privileged Information Mateo Espinosa Zarlenga Swami Sankaranarayanan Jerone T. A. Andrews Z. Shams M. Jamnik Alice Xiang 26 3 0 26 Sep 2024
Peer-to-Peer Learning Dynamics of Wide Neural Networks Shreyas Chaudhari Srinivasa Pranav Emile Anand José M. F. Moura 35 3 0 23 Sep 2024
Out of spuriousity: Improving robustness to spurious correlations without group annotations Phuong Quynh Le Jorg Schlotterer Christin Seifert CML OOD 35 2 0 20 Jul 2024
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations Tyler LaBonte John C. Hill Xinchen Zhang Vidya Muthukumar Abhishek Kumar AAML 33 0 0 19 Jul 2024
Mind the Graph When Balancing Data for Fairness or Robustness Jessica Schrouff Alexis Bellot Amal Rannen-Triki Alan Malek Isabela Albuquerque A. Gretton Alexander DÁmour Silvia Chiappa OOD CML 26 1 0 25 Jun 2024
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading Nathan Stromberg Rohan Ayyagari Sanmi Koyejo Richard Nock Lalitha Sankar 39 0 0 13 Jun 2024
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Vatsal Sharan 31 4 0 10 Jun 2024
Theoretical Guarantees of Data Augmented Last Layer Retraining Methods Monica Welfert Nathan Stromberg Lalitha Sankar 37 1 0 09 May 2024
Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty Estimation Xiaoying Zhang Jean-François Ton Wei Shen Hongning Wang Yang Liu 24 13 0 08 Mar 2024
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations GuanWen Qiu Da Kuang Surbhi Goel 25 8 0 05 Mar 2024
Spurious Correlations in Machine Learning: A Survey Wenqian Ye Guangtao Zheng Xu Cao Yunsheng Ma Aidong Zhang OOD AAML CML 29 33 0 20 Feb 2024
Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains Nathan Stromberg Rohan Ayyagari Monica Welfert Sanmi Koyejo Richard Nock Lalitha Sankar 13 3 0 16 Feb 2024
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systems Jacob G. Elkins F. Fahimi AI4CE 11 0 0 01 Feb 2024
FRAPPE: A Group Fairness Framework for Post-Processing Everything Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 34 6 0 05 Dec 2023
TLDR: Text Based Last-layer Retraining for Debiasing Image Classifiers Juhyeon Park Seokhyeon Jeong Taesup Moon 19 1 0 30 Nov 2023
AdaFlood: Adaptive Flood Regularization Wonho Bae Yi Ren Mohamad Osama Ahmed Frederick Tung Danica J. Sutherland Gabriel L. Oliveira AI4CE 24 1 0 06 Nov 2023
On the Foundations of Shortcut Learning Katherine Hermann Hossein Mobahi Thomas Fel M. C. Mozer VLM 25 25 0 24 Oct 2023
Discovering environments with XRM Mohammad Pezeshki Diane Bouchacourt Mark Ibrahim Jimuyang Zhang Pascal Vincent David Lopez-Paz 20 18 0 28 Sep 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts Jiaheng Wei Harikrishna Narasimhan Ehsan Amid Wenjun Chu Yang Liu Abhishek Kumar OOD 37 16 0 16 Sep 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting Shi Qiu Andres Potapczynski Pavel Izmailov A. Wilson OOD 52 53 0 19 Jun 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access A. Veldanda Ivan Brugere Sanghamitra Dutta Alan Mishler S. Garg 21 5 0 02 Feb 2023
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 203 64 0 07 Feb 2022
Controlling Directions Orthogonal to a Classifier Yilun Xu Hao He T. Shen Tommi Jaakkola 56 19 0 27 Jan 2022
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,083 0 01 Sep 2014
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 786 0 19 Feb 2009