Simple data balancing achieves competitive worst-group-accuracy

27 October 2021

Papers citing "Simple data balancing achieves competitive worst-group-accuracy"

50 / 124 papers shown

Title
Multitask Learning Can Improve Worst-Group Outcomes Atharva Kulkarni Lucio Dery Amrith Rajagopal Setlur Aditi Raghunathan Ameet Talwalkar Graham Neubig 19 1 0 05 Dec 2023
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations Y. Slavutsky Y. Benjamini VLM OOD 17 0 0 30 Nov 2023
TLDR: Text Based Last-layer Retraining for Debiasing Image Classifiers Juhyeon Park Seokhyeon Jeong Taesup Moon 14 1 0 30 Nov 2023
An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare Datasets F. Gulamali Ashwin S. Sawant L. Liharska C. R. Horowitz L. Chan ... E. Mensah Alexander W. Charney D. Reich J. Hu Girish N. Nadkarni 8 1 0 06 Nov 2023
Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation Floris Holstege Bram Wouters Noud van Giersbergen C. Diks 21 1 0 18 Oct 2023
Domain Generalization by Rejecting Extreme Augmentations Masih Aminbeidokhti F. Guerrero-Peña H. R. Medeiros Thomas Dubail Eric Granger M. Pedersoli ViT 30 3 0 10 Oct 2023
Deep Concept Removal Yegor Klochkov Jean-François Ton Ruocheng Guo Yang Liu Hang Li 11 0 0 09 Oct 2023
An Investigation of Representation and Allocation Harms in Contrastive Learning Subha Maity Mayank Agarwal Mikhail Yurochkin Yuekai Sun 22 0 0 02 Oct 2023
Feedback-guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat Mohammad Pezeshki Florian Bordes M. Drozdzal Adriana Romero Soriano SyDa 8 10 0 29 Sep 2023
Discovering environments with XRM Mohammad Pezeshki Diane Bouchacourt Mark Ibrahim Jimuyang Zhang Pascal Vincent David Lopez-Paz 17 18 0 28 Sep 2023
Beyond Fairness: Age-Harmless Parkinson's Detection via Voice Yicheng Wang Xiaotian Han Lei Yu Na Zou 33 0 0 23 Sep 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts Jiaheng Wei Harikrishna Narasimhan Ehsan Amid Wenjun Chu Yang Liu Abhishek Kumar OOD 35 16 0 16 Sep 2023
Towards Last-layer Retraining for Group Robustness with Fewer Annotations Tyler LaBonte Vidya Muthukumar Abhishek Kumar 20 19 0 15 Sep 2023
Bias Amplification Enhances Minority Group Performance Gaotang Li Jiarui Liu Wei Hu 15 5 0 13 Sep 2023
Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy A. Puli Lily H. Zhang Yoav Wald Rajesh Ranganath 11 18 0 24 Aug 2023
Spurious Correlations and Where to Find Them Gautam Sreekumar Vishnu Naresh Boddeti CML 13 3 0 21 Aug 2023
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations Sreyan Ghosh Chandra Kiran Reddy Evuru Sonal Kumar Utkarsh Tyagi Sakshi Singh Sanjoy Chowdhury Dinesh Manocha OOD 20 0 0 19 Aug 2023
Are Sex-based Physiological Differences the Cause of Gender Bias for Chest X-ray Diagnosis? Nina Weng Siavash Bigdeli Eike Petersen Aasa Feragen 17 9 0 09 Aug 2023
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations Rhys Compton Lily Zhang R. Borsoi Rajesh Ranganath OOD 14 6 0 08 Aug 2023
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems Moon Ye-Bin Nam Hyeon-Woo Wonseok Choi Nayeong Kim Suha Kwak Tae-Hyun Oh DiffM 16 3 0 02 Aug 2023
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization? Megan Richards Polina Kirichenko Diane Bouchacourt Mark Ibrahim VLM 64 11 0 24 Jul 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting Shi Qiu Andres Potapczynski Pavel Izmailov A. Wilson OOD 45 53 0 19 Jun 2023
Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms Nari Johnson Ángel Alexander Cabrera Gregory Plumb Ameet Talwalkar 18 12 0 13 Jun 2023
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup Damien Teney Jindong Wang Ehsan Abbasnejad 17 6 0 26 May 2023
Rethinking the Evaluation Protocol of Domain Generalization Han Yu Xingxuan Zhang Renzhe Xu Jiashuo Liu Yue He Peng Cui OOD 16 7 0 24 May 2023
Are demographically invariant models and representations in medical imaging fair? Eike Petersen Enzo Ferrante M. Ganz Aasa Feragen MedIm 27 10 0 02 May 2023
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models Yuwei Yin Jean Kaddour Xiang Zhang Yixin Nie Zhenguang Liu Lingpeng Kong Qi Liu DiffM 19 10 0 18 Apr 2023
Fairness in AI and Its Long-Term Implications on Society Ondrej Bohdal Timothy M. Hospedales Philip H. S. Torr Fazl Barez 8 4 0 16 Apr 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks Lorenz Linhardt Klaus-Robert Muller G. Montavon AAML 6 7 0 12 Apr 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 181 30 0 09 Mar 2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis Raghav Mehta Changjian Shui Tal Arbel 11 12 0 06 Mar 2023
Debiased Distillation by Transplanting the Last Layer Jiwoon Lee Jaeho Lee 10 3 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 13 5 0 11 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg Nick Erickson James Sharpnack Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton VLM 18 31 0 06 Feb 2023
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts Amrith Rajagopal Setlur D. Dennis Benjamin Eysenbach Aditi Raghunathan Chelsea Finn Virginia Smith Sergey Levine OOD 16 11 0 06 Feb 2023
Simplicity Bias Leads to Amplified Performance Disparities Samuel J. Bell Levent Sagun 11 12 0 13 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 18 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 13 68 0 09 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 16 2 0 01 Dec 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 11 5 0 28 Nov 2022
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations Qingyao Sun Kevin Murphy S. Ebrahimi Alexander DÁmour OOD VLM 11 9 0 28 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match Myles Bartlett Sara Romiti V. Sharmanska Novi Quadrianto 24 3 0 07 Nov 2022
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations Badr Youbi Idrissi Diane Bouchacourt Randall Balestriero Ivan Evtimov C. Hazirbas Nicolas Ballas Pascal Vincent M. Drozdzal David Lopez-Paz Mark Ibrahim VLM ViT 20 44 0 03 Nov 2022
Outlier-Aware Training for Improving Group Accuracy Disparities Li-Kuang Chen Canasai Kruengkrai Junichi Yamagishi 16 0 0 27 Oct 2022
Characterizing Datapoints via Second-Split Forgetting Pratyush Maini Saurabh Garg Zachary Chase Lipton J. Zico Kolter 15 34 0 26 Oct 2022
Robust Self-Supervised Learning with Lie Groups Mark Ibrahim Diane Bouchacourt Ari S. Morcos SSL OOD 17 4 0 24 Oct 2022
Counterfactual Generation Under Confounding Abbavaram Gowtham Reddy Saloni Dash Amit Sharma V. Balasubramanian CML 24 2 0 22 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 16 116 0 20 Oct 2022
Outlier-Robust Group Inference via Gradient Space Clustering Yuchen Zeng Kristjan Greenewald Kangwook Lee Justin Solomon Mikhail Yurochkin 25 1 0 13 Oct 2022
Self-supervised debiasing using low rank regularization Geon Yeong Park Chanyong Jung Sangmin Lee Jong Chul Ye Sang Wan Lee CML SSL 21 3 0 11 Oct 2022