MaskTune: Mitigating Spurious Correlations by Forcing to Explore

30 September 2022

Saeid Asgari Taghanaki

Papers citing "MaskTune: Mitigating Spurious Correlations by Forcing to Explore"

39 / 39 papers shown

Title
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification Miaoyun Zhao Qiang Zhang C. Li 26 0 0 11 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 64 1 0 24 Apr 2025
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers Lili Zhao Qi Liu Wei-neng Chen L. Chen R.-H. Sun Min Hou Yang Wang Shijin Wang 26 0 0 14 Apr 2025
Are We Done with Object-Centric Learning? Alexander Rubinstein Ameya Prabhu Matthias Bethge Seong Joon Oh OCL 617 0 0 09 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
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 55 0 0 22 Mar 2025
Leveraging Text-to-Image Generation for Handling Spurious Correlation Aryan Yazdan Parast Basim Azam Naveed Akhtar 42 0 0 21 Mar 2025
Gradient Extrapolation for Debiased Representation Learning Ihab Asaad M. Shadaydeh Joachim Denzler 36 0 0 17 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness B. Zhu Jiequan Cui H. Zhang Chi Zhang 83 0 0 12 Mar 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable Shreyash Arya Sukrut Rao Moritz Bohle Bernt Schiele 68 2 0 28 Jan 2025
Debiasify: Self-Distillation for Unsupervised Bias Mitigation Nourhan Bayasi Jamil Fayyad Ghassan Hamarneh Rafeef Garbi H. Najjaran 35 0 0 01 Nov 2024
Effective Guidance for Model Attention with Simple Yes-no Annotations Seongmin Lee Ali Payani Duen Horng Chau FAtt 40 0 0 29 Oct 2024
Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario Hongjun Wang Jiyuan Chen Tong Pan Zheng Dong Lingyu Zhang Renhe Jiang Xuan Song OOD 76 2 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 34 3 0 26 Sep 2024
Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis Xianbing Zhao Lizhen Qu Tao Feng Jianfei Cai Buzhou Tang 42 0 0 05 Sep 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
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 40 0 0 15 Jun 2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning Jacob Mitchell Springer Vaishnavh Nagarajan Aditi Raghunathan 37 5 0 30 May 2024
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation Guangtao Zheng Wenqian Ye Aidong Zhang 28 4 0 06 May 2024
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair Jeonghoon Park Chaeyeon Chung Juyoung Lee Jaegul Choo 32 2 0 30 Apr 2024
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models Tao Feng Lizhen Qu Zhuang Li Haolan Zhan Yuncheng Hua Gholamreza Haffari VLM 32 1 0 21 Apr 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations Rwiddhi Chakraborty Adrian Sletten Michael C. Kampffmeyer 26 0 0 20 Mar 2024
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation Fahimeh Hosseini Noohdani Parsa Hosseini Aryan Yazdan Parast Hamidreza Yaghoubi Araghi M. Baghshah CoGe OOD 31 6 0 29 Feb 2024
Unsupervised Concept Discovery Mitigates Spurious Correlations Md Rifat Arefin Yan Zhang A. Baratin Francesco Locatello Irina Rish Dianbo Liu Kenji Kawaguchi 49 6 0 20 Feb 2024
Spurious Correlations in Machine Learning: A Survey Wenqian Ye Guangtao Zheng Xu Cao Yunsheng Ma Aidong Zhang OOD AAML CML 34 33 0 20 Feb 2024
Clarify: Improving Model Robustness With Natural Language Corrections Yoonho Lee Michelle S. Lam Helena Vasconcelos Michael S. Bernstein Chelsea Finn 25 6 0 06 Feb 2024
Disentangled Representation Learning with Transmitted Information Bottleneck Zhuohang Dang Minnan Luo Chengyou Jia Guangwen Dai Jihong Wang Xiao Chang Jingdong Wang Qinghua Zheng 32 4 0 03 Nov 2023
Group Robust Classification Without Any Group Information Christos Tsirigotis João Monteiro Pau Rodríguez David Vazquez Aaron Courville OOD 19 22 0 28 Oct 2023
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness Bhavya Vasudeva Kameron Shahabi Vatsal Sharan 27 2 0 09 Oct 2023
Towards Last-layer Retraining for Group Robustness with Fewer Annotations Tyler LaBonte Vidya Muthukumar Abhishek Kumar 33 36 0 15 Sep 2023
TExplain: Explaining Learned Visual Features via Pre-trained (Frozen) Language Models Saeid Asgari Taghanaki Aliasghar Khani Ali Saheb Pasand Amir Khasahmadi Aditya Sanghi K. Willis Ali Mahdavi-Amiri FAtt VLM 19 0 0 01 Sep 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 25 1 0 19 Aug 2023
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts Jiaxuan Li D. Vo Hideki Nakayama 24 3 0 19 Aug 2023
Debiased Automatic Speech Recognition for Dysarthric Speech via Sample Reweighting with Sample Affinity Test Eungbeom Kim Yunkee Chae Jaeheon Sim Kyogu Lee 15 1 0 22 May 2023
Remote Sensing Scene Classification with Masked Image Modeling (MIM) Liya Wang A. Tien 32 3 0 28 Feb 2023
Aerial Image Object Detection With Vision Transformer Detector (ViTDet) Liya Wang A. Tien 39 7 0 28 Jan 2023
Towards Improved Input Masking for Convolutional Neural Networks S. Balasubramanian S. Feizi AAML 28 3 0 26 Nov 2022
Invariant Learning via Diffusion Dreamed Distribution Shifts Priyatham Kattakinda Alexander Levine S. Feizi DiffM 16 9 0 18 Nov 2022
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 205 64 0 07 Feb 2022