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Out-of-Distribution Generalization

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Showing 176–200 of 516 papers

TitleStatusHype
Benchmarking Ophthalmology Foundation Models for Clinically Significant Age Macular Degeneration Detection—0
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization—0
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep ClassificationCode0
GaussVideoDreamer: 3D Scene Generation with Video Diffusion and Inconsistency-Aware Gaussian Splatting—0
Global Intervention and Distillation for Federated Out-of-Distribution Generalization—0
FedMM-X: A Trustworthy and Interpretable Framework for Federated Multi-Modal Learning in Dynamic Environments—0
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry—0
Out-of-Distribution Generalization in Time Series: A SurveyCode0
Bio-Inspired Plastic Neural Networks for Zero-Shot Out-of-Distribution Generalization in Complex Animal-Inspired Robots—0
Invariant Federated Learning for Edge Intelligence: Mitigating Heterogeneity and Asynchrony via Exit Strategy and Invariant Penalty—0
Towards Universal Learning-based Model for Cardiac Image Reconstruction: Summary of the CMRxRecon2024 Challenge—0
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization—0
Out-of-Distribution Generalization on Graphs via Progressive Inference—0
Out-of-distribution Generalization for Total Variation based Invariant Risk MinimizationCode0
Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning—0
Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition—0
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution GeneralizationCode0
In-Context Parametric Inference: Point or Distribution Estimators?—0
Superpose Singular Features for Model Merging—0
Learned Correction Methods for Ultrasound Computed Tomography Imaging Using Simplified Physics Models—0
Graph-structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities—0
When do neural networks learn world models?—0
Retro-Rank-In: A Ranking-Based Approach for Inorganic Materials Synthesis Planning—0
Attention-Driven Hierarchical Reinforcement Learning with Particle Filtering for Source Localization in Dynamic Fields—0
Systematic Abductive Reasoning via Diverse Relation Representations in Vector-symbolic Architecture—0
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