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Out-of-Distribution Generalization

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Showing 201–250 of 516 papers

TitleStatusHype
Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries—0
Curriculum in Gradient-Based Meta-Reinforcement Learning—0
Generative RLHF-V: Learning Principles from Multi-modal Human Preference—0
Covariate Shift in High-Dimensional Random Feature Regression—0
Graph Out-of-Distribution Generalization with Controllable Data Augmentation—0
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization—0
A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View—0
A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization—0
Generalizing to Unseen Domains: A Survey on Domain Generalization—0
Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric—0
Generalization of graph network inferences in higher-order graphical models—0
Generalization in medical AI: a perspective on developing scalable models—0
Conditional Networks—0
HYPO: Hyperspherical Out-of-Distribution Generalization—0
Automated Text Identification Using CNN and Training Dynamics—0
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History—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
Frustratingly Easy Model Generalization by Dummy Risk Minimization—0
Implicit Counterfactual Data Augmentation for Robust Learning—0
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling—0
Compound Domain Generalization via Meta-Knowledge Encoding—0
ALVIN: Active Learning Via INterpolation—0
Learning Latent Structural Causal Models—0
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization—0
Composing Partial Differential Equations with Physics-Aware Neural Networks—0
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs—0
Improving out-of-distribution generalization via multi-task self-supervised pretraining—0
Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction—0
Comparison of Deep Learning Segmentation and Multigrader-annotated Mandibular Canals of Multicenter CBCT scans—0
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics—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
Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough—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
Learned Correction Methods for Ultrasound Computed Tomography Imaging Using Simplified Physics Models—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
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety—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 Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP—0
Adversarial Training: Enhancing Out-of-Distribution Generalization for Learning Wireless Resource Allocation—0
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