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Out-of-Distribution Generalization

Papers

Showing 101150 of 516 papers

TitleStatusHype
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
The Connection between Out-of-Distribution Generalization and Privacy of ML ModelsCode1
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
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured ReviewCode1
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant LearningCode1
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersCode1
Towards Evaluating Generalist Agents: An Automated Benchmark in Open WorldCode1
How Far Can Transformers Reason? The Globality Barrier and Inductive ScratchpadCode1
Deep Stable Learning for Out-Of-Distribution GeneralizationCode1
Diverse Weight Averaging for Out-of-Distribution GeneralizationCode1
Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?Code1
Delving Deep into the Generalization of Vision Transformers under Distribution ShiftsCode1
Designing Network Design SpacesCode1
Learning Divergence Fields for Shift-Robust Graph RepresentationsCode1
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class TaxonomiesCode1
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
Discover and Mitigate Unknown Biases with Debiasing Alternate NetworksCode1
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case GeneralizationCode1
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasksCode1
Disentangled Generative Models for Robust Prediction of System DynamicsCode1
Uncovering the Limits of Machine Learning for Automatic Vulnerability DetectionCode1
Distilling Large Vision-Language Model with Out-of-Distribution GeneralizabilityCode1
Generative Interventions for Causal LearningCode1
Masked Autoencoders Are Scalable Vision LearnersCode1
Meta-Learning to Compositionally GeneralizeCode1
Entity-Based Knowledge Conflicts in Question AnsweringCode1
Environment-Aware Dynamic Graph Learning for Out-of-Distribution GeneralizationCode1
Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?Code1
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Code1
Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality AssessmentCode1
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution GeneralizationCode1
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial OptimizationCode1
Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to GeneralizeCode1
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationCode1
A Policy-Guided Imitation Approach for Offline Reinforcement LearningCode1
Out-of-Distribution Generalization via Risk Extrapolation (REx)Code1
FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image DenoisingCode1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based SelectionCode1
EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for ElectromyographyCode1
Empirical Study of PEFT techniques for Winter Wheat SegmentationCode1
Unleashing the Power of Graph Data Augmentation on Covariate Distribution ShiftCode1
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution GeneralizationCode1
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization PerspectiveCode1
Beyond Message Passing: Neural Graph Pattern MachineCode1
CARE: a Benchmark Suite for the Classification and Retrieval of EnzymesCode1
The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary GiantsCode1
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