Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

6 April 2022

Papers citing "Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations"

50 / 238 papers shown

Title
XAI-guided Insulator Anomaly Detection for Imbalanced Datasets Maximilian Andreas Hoefler Karsten Mueller Wojciech Samek 23 1 0 25 Sep 2024
Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract) Yuchen Li Haoyi Xiong Linghe Kong Zeyi Sun Hongyang Chen Shuaiqiang Wang Dawei Yin 49 0 0 25 Sep 2024
Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting Humza Wajid Hameed Géraldin Nanfack Eugene Belilovsky 28 1 0 23 Sep 2024
Peer-to-Peer Learning Dynamics of Wide Neural Networks Shreyas Chaudhari Srinivasa Pranav Emile Anand José M. F. Moura 37 3 0 23 Sep 2024
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization Nayeong Kim Juwon Kang Sungsoo Ahn Jungseul Ok Suha Kwak 31 0 0 05 Sep 2024
UnLearning from Experience to Avoid Spurious Correlations Jeff Mitchell Jesús Martínez del Rincón Niall McLaughlin 36 0 0 04 Sep 2024
The Clever Hans Effect in Unsupervised Learning Jacob R. Kauffmann Jonas Dippel Lukas Ruff Wojciech Samek Klaus-Robert Müller G. Montavon SSL CML HAI 41 1 0 15 Aug 2024
LADDER: Language Driven Slice Discovery and Error Rectification Shantanu Ghosh Rayan Syed Chenyu Wang Clare B. Poynton Kayhan Batmanghelich 39 0 0 31 Jul 2024
Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning Jingchen Sun Rohan Sharma Vishnu Suresh Lokhande Changyou Chen 41 0 0 22 Jul 2024
Out of spuriousity: Improving robustness to spurious correlations without group annotations Phuong Quynh Le Jorg Schlotterer Christin Seifert CML OOD 40 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 41 0 0 19 Jul 2024
Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection Mahdi Gilany Mohamed Harmanani P. Wilson Minh Nguyen Nhat To A. Jamzad Fahimeh Fooladgar Brian Wodlinger Purang Abolmaesumi Parvin Mousavi OOD 33 0 0 17 Jul 2024
Empowering Graph Invariance Learning with Deep Spurious Infomax Tianjun Yao Yongqiang Chen Zhenhao Chen Kai Hu Zhiqiang Shen Anton van den Hengel OOD 42 6 0 13 Jul 2024
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort Jeeyung Kim Ze Wang Qiang Qiu 43 1 0 12 Jul 2024
SLIM: Spuriousness Mitigation with Minimal Human Annotations Xiwei Xuan Ziquan Deng Hsuan-Tien Lin Kwan-Liu Ma 42 2 0 08 Jul 2024
Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition Barproda Halder Faisal Hamman Pasan Dissanayake Qiuyi Zhang Ilia Sucholutsky Sanghamitra Dutta 36 2 0 29 Jun 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 48 1 0 25 Jun 2024
MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs Wenqian Ye Guangtao Zheng Yunsheng Ma Xu Cao Bolin Lai James M. Rehg Aidong Zhang 37 10 0 24 Jun 2024
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection Saachi Jain Kimia Hamidieh Kristian Georgiev Andrew Ilyas Marzyeh Ghassemi Aleksander Madry 37 2 0 24 Jun 2024
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding Ukyo Honda Tatsushi Oka Peinan Zhang Masato Mita 49 1 0 17 Jun 2024
Revisiting Spurious Correlation in Domain Generalization Bin Qin Jiangmeng Li Yi Li Xuesong Wu Yupeng Wang Jingyao Wang Jianwen Cao CML 44 1 0 17 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 54 0 0 15 Jun 2024
Comparison of fine-tuning strategies for transfer learning in medical image classification Ana Davila Jacinto Colan Yasuhisa Hasegawa 24 17 0 14 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 46 0 0 13 Jun 2024
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Vatsal Sharan 43 4 0 10 Jun 2024
SLANT: Spurious Logo ANalysis Toolkit Maan Qraitem Piotr Teterwak Kate Saenko Bryan A. Plummer AAML 40 0 0 03 Jun 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift Jiayun Wu Jiashuo Liu Peng Cui Zhiwei Steven Wu 40 1 0 02 Jun 2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning Jacob Mitchell Springer Vaishnavh Nagarajan Aditi Raghunathan 44 5 0 30 May 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation Kimia Hamidieh Haoran Zhang Swami Sankaranarayanan Marzyeh Ghassemi 49 0 0 28 May 2024
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective Akiyoshi Tomihari Issei Sato 30 4 0 27 May 2024
Feature Protection For Out-of-distribution Generalization Lu Tan Huei Zhou Yinxiang Huang Zeming Zheng Yujiu Yang OODD 49 0 0 25 May 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang Mona Gandhi Yufei Wang Yifan Wu Michael S. Yao Christopher Callison-Burch James C. Gee Mark Yatskar 58 3 0 23 May 2024
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data Tarun Kalluri Jihyeon Janel Lee Kihyuk Sohn Sahil Singla Manmohan Chandraker Joseph Z. Xu Jeremiah Liu 49 1 0 22 May 2024
Theoretical Guarantees of Data Augmented Last Layer Retraining Methods Monica Welfert Nathan Stromberg Lalitha Sankar 48 1 0 09 May 2024
Seeds of Stereotypes: A Large-Scale Textual Analysis of Race and Gender Associations with Diseases in Online Sources Lasse Hyldig Hansen Nikolaj Andersen Jack Gallifant Liam G McCoy James K Stone Nura Izath Marcela Aguirre-Jerez Danielle S Bitterman J. Gichoya Leo Anthony Celi 18 3 0 08 May 2024
Causally Inspired Regularization Enables Domain General Representations Olawale Salaudeen Oluwasanmi Koyejo OOD CML 25 2 0 25 Apr 2024
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference Yujin Han Difan Zou AAML 29 3 0 22 Apr 2024
A Multimodal Automated Interpretability Agent Tamar Rott Shaham Sarah Schwettmann Franklin Wang Achyuta Rajaram Evan Hernandez Jacob Andreas Antonio Torralba 34 17 0 22 Apr 2024
Inference-Time Rule Eraser: Fair Recognition via Distilling and Removing Biased Rules Yi Zhang Dongyuan Lu Jitao Sang FaML 37 1 0 07 Apr 2024
Diverse Feature Learning by Self-distillation and Reset Sejik Park CLL 39 1 0 29 Mar 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 46 115 0 28 Mar 2024
Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities Dana Moukheiber S. Mahindre L. Moukheiber Mira Moukheiber Mingchen Gao 62 2 0 27 Mar 2024
Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices Yushan Huang Josh Millar Yuxuan Long Yuchen Zhao Hamed Haddadi 41 0 0 23 Mar 2024
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs Sepehr Dehdashtian Lan Wang Vishnu Naresh Boddeti VLM 39 11 0 22 Mar 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations Rwiddhi Chakraborty Adrian Sletten Michael C. Kampffmeyer 34 0 0 20 Mar 2024
Investigating the Benefits of Projection Head for Representation Learning Yihao Xue Eric Gan Jiayi Ni Siddharth Joshi Baharan Mirzasoleiman 47 10 0 18 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
Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty Estimation Xiaoying Zhang Jean-François Ton Wei Shen Hongning Wang Yang Liu 37 13 0 08 Mar 2024
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? Ibrahim M. Alabdulmohsin Xiao Wang Andreas Steiner Priya Goyal Alexander DÁmour Xiao-Qi Zhai 34 16 0 07 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