zero-shot prediction

Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning CVPR 2026 GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction AAAI 2026 LATA: Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMs CVPR 2026 Tables Guide Vision: Learning to See the Heart through Tabular Data WACV 2026 A Generalization Theory for Zero-Shot Prediction ICML 2025 Bridging Sequence-Structure Alignment in RNA Foundation Models AAAI 2025 Combining Inherent Knowledge of Vision-Language Models with Unsupervised Domain Adaptation through Strong-Weak Guidance WACV 2025 Free on the Fly: Enhancing Flexibility in Test-Time Adaptation with Online EM CVPR 2025 iNews: A Multimodal Dataset for Modeling Personalized Affective Responses to News ACL 2025 Invariant Subspace Decomposition JMLR 2025 Predicting Language Models’ Success at Zero-Shot Probabilistic Prediction EMNLP 2025 TRACE: Temporal Grounding Video LLM via Causal Event Modeling ICLR 2025 Untangling the Influence of Typology, Data, and Model Architecture on Ranking Transfer Languages for Cross-Lingual POS Tagging NAACL 2025 Are Large Language Models (LLMs) Good Social Predictors? EMNLP 2024 Big City Bias: Evaluating the Impact of Metropolitan Size on Computational Job Market Abilities of Language Models EACL 2024 MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement IJCAI 2024 Proximal Causal Inference With Text Data NeurIPS 2024 Structured Bayesian Meta-Learning for Data-Efficient Visual-Tactile Model Estimation CoRL 2024 ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design NeurIPS 2023 MedCLIP: Contrastive Learning from Unpaired Medical Images and Text EMNLP 2022 Language models enable zero-shot prediction of the effects of mutations on protein function NeurIPS 2021 Learning Mutational Semantics NeurIPS 2020