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Out-of-Distribution Generalization

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Showing 201–250 of 516 papers

TitleStatusHype
Modular Action Concept Grounding in Semantic Video Prediction—0
Curriculum in Gradient-Based Meta-Reinforcement Learning—0
Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries—0
Generative RLHF-V: Learning Principles from Multi-modal Human Preference—0
Covariate Shift in High-Dimensional Random Feature Regression—0
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization—0
Locally Invariant Explanations: Towards Causal Explanations through Local Invariant Learning—0
A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View—0
Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric—0
A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization—0
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning—0
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization—0
Generalization of graph network inferences in higher-order graphical models—0
Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning—0
Generalization in medical AI: a perspective on developing scalable models—0
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History—0
Conditional Networks—0
GaussVideoDreamer: 3D Scene Generation with Video Diffusion and Inconsistency-Aware Gaussian Splatting—0
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization—0
Implicit Counterfactual Data Augmentation for Robust Learning—0
Frustratingly Easy Model Generalization by Dummy Risk Minimization—0
Learning to Reweight for Graph Neural Network—0
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling—0
Compound Domain Generalization via Meta-Knowledge Encoding—0
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics—0
Improving Medical Reasoning with Curriculum-Aware Reinforcement Learning—0
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization—0
Comparison of Deep Learning Segmentation and Multigrader-annotated Mandibular Canals of Multicenter CBCT scans—0
Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction—0
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs—0
ALVIN: Active Learning Via INterpolation—0
Learning Latent Structural Causal Models—0
FedMM-X: A Trustworthy and Interpretable Framework for Federated Multi-Modal Learning in Dynamic Environments—0
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey—0
In-Context Parametric Inference: Point or Distribution Estimators?—0
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding—0
Increasing Robustness to Spurious Correlations using Forgettable Examples—0
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization—0
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry—0
Feature-guided score diffusion for sampling conditional densities—0
A Complexity-Based Theory of Compositionality—0
Learned Correction Methods for Ultrasound Computed Tomography Imaging Using Simplified Physics Models—0
Learning Ensembles of Vision-based Safety Control Filters—0
Invariant Causal Representation Learning for Out-of-Distribution Generalization—0
Invariant Federated Learning for Edge Intelligence: Mitigating Heterogeneity and Asynchrony via Exit Strategy and Invariant Penalty—0
Invariant Meta Learning for Out-of-Distribution Generalization—0
Knowledge-Spreader: Learning Facial Action Unit Dynamics with Extremely Limited Labels—0
Invariant Representations in Deep Learning for Optoacoustic Imaging—0
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety—0
LanGWM: Language Grounded World Model—0
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