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Out-of-Distribution Generalization

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Showing 301–350 of 516 papers

TitleStatusHype
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs—0
Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning—0
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift—0
Mixture Data for Training Cannot Ensure Out-of-distribution Generalization—0
Learning to Reweight for Graph Neural Network—0
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction—0
Holistic chemical evaluation reveals pitfalls in reaction prediction modelsCode0
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression—0
Class Distribution Shifts in Zero-Shot Learning: Learning Robust RepresentationsCode0
LanGWM: Language Grounded World Model—0
Towards out-of-distribution generalization in large-scale astronomical surveys: robust networks learn similar representations—0
ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models—0
In-context Learning Generalizes, But Not Always Robustly: The Case of SyntaxCode0
Generalization in medical AI: a perspective on developing scalable models—0
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?—0
OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning—0
Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach—0
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization—0
Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation—0
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling—0
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations—0
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding—0
Trustworthy Machine Learning—0
Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test SamplesCode0
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization—0
Deep Concept Removal—0
Offline Imitation Learning with Variational Counterfactual ReasoningCode0
Robust Novelty Detection through Style-Conscious Feature RankingCode0
Spurious Feature Diversification Improves Out-of-distribution Generalization—0
Mitigating Shortcuts in Language Models with Soft Label Encoding—0
Application of Zone Method based Physics-Informed Neural Networks in Reheating Furnaces—0
Graph Out-of-Distribution Generalization with Controllable Data Augmentation—0
Frustratingly Easy Model Generalization by Dummy Risk Minimization—0
Topology-aware Robust Optimization for Out-of-distribution GeneralizationCode0
Phase Matching for Out-of-Distribution Generalization—0
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and CalibrationCode0
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum SystemsCode0
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning—0
Continual Learning for Out-of-Distribution Pedestrian DetectionCode0
Open Problem: Learning with Variational Objectives on Measures—0
Simple and Fast Group Robustness by Automatic Feature ReweightingCode0
Studying Generalization on Memory-Based Methods in Continual Learning—0
Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy—0
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and DetectionCode0
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization—0
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization—0
Advancing African-Accented Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR ModelsCode0
TransRUPNet for Improved Polyp SegmentationCode0
The Tunnel Effect: Building Data Representations in Deep Neural Networks—0
Determinantal Point Process Attention Over Grid Cell Code Supports Out of Distribution GeneralizationCode0
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