out-of-distribution generalization

BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping NeurIPS 2024 Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift NeurIPS 2024 Can Biases in ImageNet Models Explain Generalization? CVPR 2024 Can Large Language Models Learn Independent Causal Mechanisms? EMNLP 2024 CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes NeurIPS 2024 Causal Graph Modeling with Deep Neural Engines for Strong Abstract Reasoning in Language and Vision IJCAI 2024 Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization ICML 2024 Causal vs. Anticausal merging of predictors NeurIPS 2024 Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations NeurIPS 2024 Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design ICML 2024 CoPL: Contextual Prompt Learning for Vision-Language Understanding AAAI 2024 Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data AAAI 2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning NeurIPS 2024 Debiasing Multimodal Sarcasm Detection with Contrastive Learning AAAI 2024 Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation CVPR 2024 Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach AAAI 2024 Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration NeurIPS 2024 Discovering Environments with XRM ICML 2024 Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization ICML 2024 Dissecting the Failure of Invariant Learning on Graphs NeurIPS 2024 Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation ACL 2024 Do causal predictors generalize better to new domains? NeurIPS 2024 Does CLIP’s generalization performance mainly stem from high train-test similarity? ICLR 2024 Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024 EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography NeurIPS 2024