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Out-of-Distribution Generalization

Papers

Showing 101125 of 516 papers

TitleStatusHype
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
Empirical Study of PEFT techniques for Winter Wheat SegmentationCode1
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
mixup: Beyond Empirical Risk MinimizationCode1
Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to GeneralizeCode1
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based SelectionCode1
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization PerspectiveCode1
In-Context Symbolic Regression: Leveraging Large Language Models for Function DiscoveryCode1
Deep Stable Learning for Out-Of-Distribution GeneralizationCode1
A Brief Introduction to Causal Inference in Machine LearningCode1
Neural Unsupervised Domain Adaptation in NLP---A SurveyCode1
Delving Deep into the Generalization of Vision Transformers under Distribution ShiftsCode1
Designing Network Design SpacesCode1
On the Stability of Expressive Positional Encodings for GraphsCode1
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution GeneralizationCode1
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 to grok: Emergence of in-context learning and skill composition in modular arithmetic tasksCode1
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