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Out-of-Distribution Generalization

Papers

Showing 51100 of 516 papers

TitleStatusHype
Real-Fake: Effective Training Data Synthesis Through Distribution MatchingCode1
Towards Unified and Effective Domain GeneralizationCode1
Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?Code1
Towards Evaluating Generalist Agents: An Automated Benchmark in Open WorldCode1
xVal: A Continuous Numerical Tokenization for Scientific Language ModelsCode1
On the Stability of Expressive Positional Encodings for GraphsCode1
Empirical Study of PEFT techniques for Winter Wheat SegmentationCode1
SeisT: A foundational deep learning model for earthquake monitoring tasksCode1
Discovering environments with XRMCode1
PromptStyler: Prompt-driven Style Generation for Source-free Domain GeneralizationCode1
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model InterpolationCode1
RL-ViGen: A Reinforcement Learning Benchmark for Visual GeneralizationCode1
Distilling Large Vision-Language Model with Out-of-Distribution GeneralizabilityCode1
Uncovering the Limits of Machine Learning for Automatic Vulnerability DetectionCode1
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution GeneralizationCode1
Geometric Deep Learning for Structure-Based Drug Design: A SurveyCode1
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution GeneralizationCode1
S^2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp SegmentationCode1
Contextual Vision Transformers for Robust Representation LearningCode1
Understanding and Improving Feature Learning for Out-of-Distribution GeneralizationCode1
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization DatasetCode1
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization GuaranteesCode1
Generalization on the Unseen, Logic Reasoning and Degree CurriculumCode1
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial OptimizationCode1
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersCode1
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization PerspectiveCode1
Unleashing the Power of Graph Data Augmentation on Covariate Distribution ShiftCode1
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning TasksCode1
Broken Neural Scaling LawsCode1
A Policy-Guided Imitation Approach for Offline Reinforcement LearningCode1
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RLCode1
Threat Scenarios and Best Practices to Detect Neural Fake NewsCode1
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationCode1
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution GeneralizationCode1
Discover and Mitigate Unknown Biases with Debiasing Alternate NetworksCode1
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded AugmentationsCode1
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution GeneralizationCode1
Transformers are Meta-Reinforcement LearnersCode1
Is a Modular Architecture Enough?Code1
Optimizing Relevance Maps of Vision Transformers Improves RobustnessCode1
Diverse Weight Averaging for Out-of-Distribution GeneralizationCode1
Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?Code1
Causal Transportability for Visual RecognitionCode1
Last Layer Re-Training is Sufficient for Robustness to Spurious CorrelationsCode1
WOODS: Benchmarks for Out-of-Distribution Generalization in Time SeriesCode1
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution GeneralizationCode1
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured ReviewCode1
Out-Of-Distribution Generalization on Graphs: A SurveyCode1
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution GeneralizationCode1
Uncertainty Modeling for Out-of-Distribution GeneralizationCode1
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