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
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification Miaoyun Zhao Qiang Zhang C. Li 31 0 0 11 May 2025
VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis Xinyuan Yan Xiwei Xuan Jorge Henrique Piazentin Ono Jiajing Guo V. Mohanty Shekar Arvind Kumar Liang Gou Bei Wang Liu Ren 42 0 0 06 May 2025
Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs Hari Chandana Kuchibhotla Sai Srinivas Kancheti Abbavaram Gowtham Reddy Vineeth N. Balasubramanian 45 0 0 02 May 2025
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers Quentin Guimard Moreno DÍncà Massimiliano Mancini Elisa Ricci SSL 72 0 0 29 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
Attention IoU: Examining Biases in CelebA using Attention Maps Aaron Serianni Tyler Zhu Olga Russakovsky V. V. Ramaswamy 39 0 0 25 Mar 2025
Severing Spurious Correlations with Data Pruning Varun Mulchandani Jung-Eun Kim 144 0 0 24 Mar 2025
Group-robust Machine Unlearning Thomas De Min Subhankar Roy Stéphane Lathuilière Elisa Ricci Massimiliano Mancini MU OOD 77 0 0 12 Mar 2025
Debiased Prompt Tuning in Vision-Language Model without Annotations Chaoquan Jiang Yunfan Yang Rui Hu Jitao Sang VLM 57 0 0 11 Mar 2025
A Causal Framework for Aligning Image Quality Metrics and Deep Neural Network Robustness Nathan G. Drenkow Mathias Unberath OOD 78 0 0 04 Mar 2025
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing Massimiliano Ciranni Vito Paolo Pastore Roberto Di Via Enzo Tartaglione Francesca Odone Vittorio Murino DiffM 105 0 0 13 Feb 2025
Sebra: Debiasing Through Self-Guided Bias Ranking Adarsh Kappiyath Abhra Chaudhuri Ajay Jaiswal Ziquan Liu Yunpeng Li Xiatian Zhu L. Yin CML 106 1 1 30 Jan 2025
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations Chenyu You Haocheng Dai Yifei Min Jasjeet Sekhon S. Joshi James S. Duncan 60 2 0 01 Jan 2025
Re-evaluating Group Robustness via Adaptive Class-Specific Scaling Seonguk Seo Bohyung Han 81 0 0 19 Dec 2024
Towards Utilising a Range of Neural Activations for Comprehending Representational Associations Laura O'Mahony Nikola S. Nikolov David JP O'Sullivan 28 0 0 15 Nov 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models Maya Varma Jean-Benoit Delbrouck Zhihong Chen Akshay S. Chaudhari C. Langlotz VLM 46 6 0 06 Nov 2024
Mitigating Spurious Correlations via Disagreement Probability Hyeonggeun Han Sehwan Kim Hyungjun Joo Sangwoo Hong Jungwoo Lee 34 1 0 04 Nov 2024
Debiasify: Self-Distillation for Unsupervised Bias Mitigation Nourhan Bayasi Jamil Fayyad Ghassan Hamarneh Rafeef Garbi H. Najjaran 35 0 0 01 Nov 2024
DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers Rakesh R Menon Shashank Srivastava 26 1 0 29 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 32 0 0 07 Oct 2024
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? Liangze Jiang Damien Teney OODD OOD 28 1 0 03 Oct 2024
From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding Heqing Zou Tianze Luo Guiyang Xie Victor Zhang ... Guangcong Wang Juanyang Chen Zhuochen Wang Hansheng Zhang Huaijian Zhang VLM 34 6 0 27 Sep 2024
Visual Data Diagnosis and Debiasing with Concept Graphs Rwiddhi Chakraborty Yinong Wang Jialu Gao Runkai Zheng Cheng Zhang Fernando De la Torre 37 2 0 26 Sep 2024
Efficient Bias Mitigation Without Privileged Information Mateo Espinosa Zarlenga Swami Sankaranarayanan Jerone T. A. Andrews Z. Shams M. Jamnik Alice Xiang 36 3 0 26 Sep 2024
Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision~Boundary Ines Gomes Luís F. Teixeira Jan N. van Rijn Carlos Soares André Restivo Luís Cunha Moisés Santos FAtt 27 1 0 12 Aug 2024
LADDER: Language Driven Slice Discovery and Error Rectification Shantanu Ghosh Rayan Syed Chenyu Wang Clare B. Poynton Kayhan Batmanghelich 34 0 0 31 Jul 2024
Out of spuriousity: Improving robustness to spurious correlations without group annotations Phuong Quynh Le Jorg Schlotterer Christin Seifert CML OOD 37 2 0 20 Jul 2024
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn Vahid Majdinasab Amin Nikanjam Foutse Khomh 40 1 0 11 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
Multi-level Reliable Guidance for Unpaired Multi-view Clustering Like Xin Wanqi Yang Lei Wang Ming Yang 40 0 0 01 Jul 2024
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods Vincent Olesen Nina Weng Aasa Feragen Eike Petersen 31 0 0 17 Jun 2024
Fine-grained Classes and How to Find Them Matej Grcić Artyom Gadetsky Maria Brbić 26 1 0 16 Jun 2024
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs Haoran Yang Xiaobing Pei Kai Yuan 27 0 0 02 Jun 2024
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference Yujin Han Difan Zou AAML 26 3 0 22 Apr 2024
Diffexplainer: Towards Cross-modal Global Explanations with Diffusion Models M. Pennisi Giovanni Bellitto S. Palazzo Mubarak Shah C. Spampinato DiffM 21 0 0 03 Apr 2024
DeNetDM: Debiasing by Network Depth Modulation Silpa Vadakkeeveetil Sreelatha Adarsh Kappiyath Anjan Dutta 39 2 1 28 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
Federated Fairness without Access to Sensitive Groups Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FedML 32 2 0 22 Feb 2024
Unsupervised Concept Discovery Mitigates Spurious Correlations Md Rifat Arefin Yan Zhang A. Baratin Francesco Locatello Irina Rish Dianbo Liu Kenji Kawaguchi 54 6 0 20 Feb 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach Jinlong Pang Jialu Wang Zhaowei Zhu Yuanshun Yao Chen Qian Yang Liu TDI 46 2 0 20 Feb 2024
Cross-modality debiasing: using language to mitigate sub-population shifts in imaging Yijiang Pang Hoang Bao Jiayu Zhou 22 0 0 02 Feb 2024
Multi-group Learning for Hierarchical Groups Samuel Deng Daniel Hsu AI4CE 36 1 0 01 Feb 2024
Common-Sense Bias Modeling for Classification Tasks Miao Zhang Zee fryer Ben Colman Ali Shahriyari Gaurav Bharaj 30 0 0 24 Jan 2024
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council Luyang Luo Xin Huang Minghao Wang Zhuoyue Wan Hao Chen 24 2 0 22 Jan 2024
AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding Xiwei Xuan Jorge Henrique Piazentin Ono Liang Gou Kwan-Liu Ma Liu Ren 50 1 0 12 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 29 2 0 26 Dec 2023
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision Collin Burns Pavel Izmailov Jan Hendrik Kirchner Bowen Baker Leo Gao ... Adrien Ecoffet Manas Joglekar Jan Leike Ilya Sutskever Jeff Wu ELM 39 258 0 14 Dec 2023
Language-assisted Vision Model Debugger: A Sample-Free Approach to Finding and Fixing Bugs Chaoquan Jiang Jinqiang Wang Rui Hu Jitao Sang 24 0 0 09 Dec 2023
Annotation-Free Group Robustness via Loss-Based Resampling Mahdi Ghaznavi Hesam Asadollahzadeh Hamidreza Yaghoubi Araghi Fahimeh Hosseini Noohdani M. Rohban M. Baghshah OOD 18 2 0 08 Dec 2023
Error Discovery by Clustering Influence Embeddings Fulton Wang Julius Adebayo Sarah Tan Diego Garcia-Olano Narine Kokhlikyan 18 3 0 07 Dec 2023