out-of-distribution generalization

DiMPLe - Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation ICCV 2025 Directional Gradient Projection for Robust Fine-Tuning of Foundation Models ICLR 2025 Disentangling Representations through Multi-task Learning ICLR 2025 Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization CVPR 2025 Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining AAAI 2025 Enhancing Transformers for Generalizable First-Order Logical Entailment ACL 2025 Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval EMNLP 2025 Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference AAAI 2025 ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization IJCAI 2025 Exploring Explanations Improves the Robustness of In-Context Learning ACL 2025 Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry ICML 2025 Federated Domain Generalization with Decision Insight Matrix IJCAI 2025 FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation AAAI 2025 Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images CVPR 2025 FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline EMNLP 2025 Foundation Model Ensemble for Out-of-Distribution Generalization: Predicting Lymph Node Metastasis in Early Gastric Cancer Using Whole-Slide Imaging MIDL 2025 FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering CVPR 2025 From In-Distribution to Out-of-Distribution: Joint Loss for Improving Generalization in Software Mention and Relation Extraction ACL 2025 From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection ICML 2025 FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics COLING 2025 HomoGraphAdapter: A Homogeneous Graph Neural Network as an Effective Adapter for Vision-Language Models EMNLP 2025 Image-Caption Encoding for Improving Zero-Shot Generalization WACV 2025 Improving Accuracy and Generalization for Efficient Visual Tracking WACV 2025 Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning AAAI 2025 In Search of Forgotten Domain Generalization ICLR 2025