OntoMedRec: Logically-Pretrained Model-Agnostic Ontology Encoders for Medication Recommendationby Weicong Tan, Weiqing Wang, Xin Zhou, Wray…
Revisiting Active Learning in the Era of Vision Foundation Modelsby Sanket Rajan Gupte, Josiah Aklilu,…
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinementby Aaqib Saeed, Dimitris Spathis, Jungwoo Oh, Edward…
Cross-Domain Few-Shot Learning via Adaptive Transformer Networksby Naeem Paeedeh, Mahardhika Pratama, Muhammad Anwar Ma'sum, Wolfgang…
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labelsby Fali Wang, Tianxiang Zhao,…
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstructionby Qingyun Wang, Zixuan Zhang, Hongxiang Li,…
Spatial-Temporal Large Language Model for Traffic Predictionby Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li,…
Improving Classification Performance With Human Feedback: Label a few, we label the restby Natan Vidra,…
Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Informationby Linfeng Ye, Shayan…
U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscriptsby Silvia…