out-of-distribution generalization

Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders AISTATS 2025 SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models EMNLP 2025 Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes CVPR 2025 Show and Segment: Universal Medical Image Segmentation via In-Context Learning CVPR 2025 SOMD2025: A Challenging Shared Tasks for Software Related Information Extraction ACL 2025 SOMD 2025: Fine-tuning ModernBERT for In- and Out-of-Distribution NER and Relation Extraction of Software Mentions in Scientific Texts ACL 2025 Structure-informed Risk Minimization for Robust Ensemble Learning ICML 2025 Subgraph Aggregation for Out-of-Distribution Generalization on Graphs AAAI 2025 Subgraph Invariant Learning Towards Large-Scale Graph Node Classification AAAI 2025 Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph ICML 2025 Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning COLING 2025 Unravelling the Logic: Investigating the Generalisation of Transformers in Numerical Satisfiability Problems ACL 2025 VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding CVPR 2025 A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design ICML 2024 A Comprehensive Evaluation of Inductive Reasoning Capabilities and Problem Solving in Large Language Models EACL 2024 AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer NeurIPS 2024 Aligning Language Models to Explicitly Handle Ambiguity EMNLP 2024 Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models ICML 2024 Anchor-based Robust Finetuning of Vision-Language Models CVPR 2024 ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models CVPR 2024 A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect EMNLP 2024 Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. NeurIPS 2024 Benchmark Transparency: Measuring the Impact of Data on Evaluation NAACL 2024 Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning AAAI 2024 BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NeurIPS 2024