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2202.06523
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MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
14 February 2022
Weixin Liang
James Y. Zou
OOD
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Papers citing
"MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts"
50 / 57 papers shown
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Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
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Efficient Online Inference of Vision Transformers by Training-Free Tokenization
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RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
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Akshay S. Chaudhari
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06 Nov 2024
Compositional Risk Minimization
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Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort
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Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
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Haoran Zhang
Swami Sankaranarayanan
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38
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Data Valuation by Leveraging Global and Local Statistical Information
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Michael K. Ng
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LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model
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36
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MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
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Controllable Prompt Tuning For Balancing Group Distributional Robustness
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Qi Lei
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A Survey on Evaluation of Out-of-Distribution Generalization
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Peng Cui
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04 Mar 2024
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
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Hamidreza Yaghoubi Araghi
M. Baghshah
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26
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29 Feb 2024
Spurious Correlations in Machine Learning: A Survey
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34
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What's documented in AI? Systematic Analysis of 32K AI Model Cards
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Unraveling the Key Components of OOD Generalization via Diversification
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Ouguzhan Fatih Kar
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Describing Differences in Image Sets with Natural Language
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Joseph E. Gonzalez
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Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression
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Ji-Hoon Park
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Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts
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Nevin L. Zhang
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16
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Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts
Annie S. Chen
Yoonho Lee
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14
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OpenDataVal: a Unified Benchmark for Data Valuation
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42
34
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Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
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Discover and Cure: Concept-aware Mitigation of Spurious Correlation
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A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation
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Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
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184
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SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis
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43
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Learning Optimal Features via Partial Invariance
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6
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Discovering and Mitigating Visual Biases through Keyword Explanation
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A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
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Task Discovery: Finding the Tasks that Neural Networks Generalize on
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A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
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Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
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