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Out-of-Distribution Generalization

Papers

Showing 101125 of 516 papers

TitleStatusHype
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case GeneralizationCode1
Looking Inward: Language Models Can Learn About Themselves by IntrospectionCode1
AugMix: A Simple Data Processing Method to Improve Robustness and UncertaintyCode1
Dataset Cartography: Mapping and Diagnosing Datasets with Training DynamicsCode1
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded AugmentationsCode1
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic AugmentationCode1
Exploring the Benefits of Vision Foundation Models for Unsupervised Domain AdaptationCode1
FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image DenoisingCode1
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersCode1
Generative Interventions for Causal LearningCode1
Improving robustness against common corruptions by covariate shift adaptationCode1
Deep Stable Learning for Out-Of-Distribution GeneralizationCode1
A Brief Introduction to Causal Inference in Machine LearningCode1
Goal Misgeneralization in Deep Reinforcement LearningCode1
Delving Deep into the Generalization of Vision Transformers under Distribution ShiftsCode1
Designing Network Design SpacesCode1
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution GeneralizationCode1
Optimizing Relevance Maps of Vision Transformers Improves RobustnessCode1
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
Discover and Mitigate Unknown Biases with Debiasing Alternate NetworksCode1
Discovering environments with XRMCode1
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution GeneralizationCode1
Disentangled Generative Models for Robust Prediction of System DynamicsCode1
PromptStyler: Prompt-driven Style Generation for Source-free Domain GeneralizationCode1
Learning Representations that Support Robust Transfer of PredictorsCode1
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