No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems

25 November 2020

Papers citing "No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems"

50 / 162 papers shown

Title
Multitask Learning Can Improve Worst-Group Outcomes Atharva Kulkarni Lucio Dery Amrith Rajagopal Setlur Aditi Raghunathan Ameet Talwalkar Graham Neubig 34 1 0 05 Dec 2023
TLDR: Text Based Last-layer Retraining for Debiasing Image Classifiers Juhyeon Park Seokhyeon Jeong Taesup Moon 33 1 0 30 Nov 2023
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels Shu-Lin Xu Yifan Sun Faen Zhang Anqi Xu Xiu-Shen Wei Yi Yang 24 5 0 18 Nov 2023
Probing clustering in neural network representations Thao Nguyen Simon Kornblith 27 1 0 14 Nov 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 17 2 0 13 Nov 2023
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning Shuoran Jiang Qingcai Chen Yang Xiang Youcheng Pan Xiangping Wu AI4CE 19 0 0 24 Oct 2023
Group-blind optimal transport to group parity and its constrained variants Quan-Gen Zhou Jakub Marecek 24 3 0 17 Oct 2023
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness Bhavya Vasudeva Kameron Shahabi Vatsal Sharan 32 2 0 09 Oct 2023
PRIME: Prioritizing Interpretability in Failure Mode Extraction Keivan Rezaei Mehrdad Saberi Mazda Moayeri S. Feizi 20 7 0 29 Sep 2023
Discovering environments with XRM Mohammad Pezeshki Diane Bouchacourt Mark Ibrahim Jimuyang Zhang Pascal Vincent David Lopez-Paz 43 18 0 28 Sep 2023
Towards Last-layer Retraining for Group Robustness with Fewer Annotations Tyler LaBonte Vidya Muthukumar Abhishek Kumar 38 36 0 15 Sep 2023
Bias Amplification Enhances Minority Group Performance Gaotang Li Jiarui Liu Wei Hu 28 5 0 13 Sep 2023
VLSlice: Interactive Vision-and-Language Slice Discovery Eric Slyman Minsuk Kahng Stefan Lee VLM 20 9 0 13 Sep 2023
The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning Yun Lu Malik Magdon-Ismail Yu Wei Vassilis Zikas 26 0 0 03 Sep 2023
Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy A. Puli Lily H. Zhang Yoav Wald Rajesh Ranganath 18 19 0 24 Aug 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 26 2 0 12 Aug 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
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Wenhao Ding Laixi Shi Yuejie Chi Ding Zhao OOD 27 18 0 15 Jul 2023
Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations Yongyi Yang Jacob Steinhardt Wei Hu 31 10 0 29 Jun 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
Simple and Fast Group Robustness by Automatic Feature Reweighting Shi Qiu Andres Potapczynski Pavel Izmailov A. Wilson OOD 62 53 0 19 Jun 2023
Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alexander Robey Fabian Latorre George J. Pappas Hamed Hassani V. Cevher AAML 66 12 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 26 13 0 13 Jun 2023
Robust Learning with Progressive Data Expansion Against Spurious Correlation Yihe Deng Yu Yang Baharan Mirzasoleiman Quanquan Gu OOD MLT 21 24 0 08 Jun 2023
Efficient Failure Pattern Identification of Predictive Algorithms Bao Nguyen Viet Anh Nguyen 17 0 0 01 Jun 2023
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias Yu Yang Eric Gan Gintare Karolina Dziugaite Baharan Mirzasoleiman 21 25 0 30 May 2023
Targeted Data Generation: Finding and Fixing Model Weaknesses Zexue He Marco Tulio Ribeiro Fereshte Khani 22 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 Y. Zou Percy Liang Serena Yeung 44 7 0 27 May 2023
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion Zexue He An Yan Amilcare Gentili Julian McAuley Chun-Nan Hsu MedIm 22 2 0 15 May 2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation Shirley Wu Mert Yuksekgonul Linjun Zhang James Y. Zou 78 56 0 01 May 2023
Mitigating Source Bias for Fairer Weak Supervision Changho Shin Sonia Cromp Dyah Adila Frederic Sala 29 2 0 30 Mar 2023
Data-centric Artificial Intelligence: A Survey Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Zhimeng Jiang Shaochen Zhong Xia Hu 18 191 0 17 Mar 2023
Distributionally Robust Optimization with Probabilistic Group Soumya Suvra Ghosal Yixuan Li OOD 8 6 0 10 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 189 30 0 09 Mar 2023
Identification of Systematic Errors of Image Classifiers on Rare Subgroups J. H. Metzen Robin Hutmacher N. G. Hua Valentyn Boreiko Dan Zhang AAML VLM 58 19 0 09 Mar 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 29 1 0 22 Feb 2023
Debiased Distillation by Transplanting the Last Layer Jiwoon Lee Jaeho Lee 23 3 0 22 Feb 2023
Auditing large language models: a three-layered approach Jakob Mokander Jonas Schuett Hannah Rose Kirk Luciano Floridi AILaw MLAU 42 194 0 16 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 21 5 0 11 Feb 2023
Diagnosing and Rectifying Vision Models using Language Yuhui Zhang Jeff Z. HaoChen Shih-Cheng Huang Kuan-Chieh Jackson Wang James Y. Zou Serena Yeung 20 43 0 08 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 22 11 0 06 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access A. Veldanda Ivan Brugere Sanghamitra Dutta Alan Mishler S. Garg 33 5 0 02 Feb 2023
Discovering and Mitigating Visual Biases through Keyword Explanation Younghyun Kim Sangwoo Mo Minkyu Kim Kyungmin Lee Jaeho Lee Jinwoo Shin 40 32 0 26 Jan 2023
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 31 70 0 09 Dec 2022
Adaptive Testing of Computer Vision Models Irena Gao Gabriel Ilharco Scott M. Lundberg Marco Tulio Ribeiro VLM 17 42 0 06 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases Mazda Moayeri Wenxiao Wang Sahil Singla S. Feizi 64 14 0 05 Dec 2022
Avoiding spurious correlations via logit correction Sheng Liu Xu Zhang Nitesh Sekhar Yue Wu Prateek Singhal C. Fernandez‐Granda 25 29 0 02 Dec 2022
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization Bhargavi Paranjape Pradeep Dasigi Vivek Srikumar Luke Zettlemoyer Hannaneh Hajishirzi 36 7 0 02 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 26 2 0 01 Dec 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 24 10 0 28 Nov 2022