Effective Predictive Modeling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-learning…
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformersby Jake Grigsby, Justin Sasek, Samyak…
Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approachby Ratun Rahman, Neeraj Kumar,…
Partial Multi-View Clustering via Meta-Learning and Contrastive Feature Alignmentby BoHao ChenFirst submitted to arxiv on:…
Neuromodulated Meta-Learningby Jingyao Wang, Huijie Guo, Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Hui Xiong, Gang…
Noisy Zero-Shot Coordination: Breaking The Common Knowledge Assumption In Zero-Shot Coordination Gamesby Usman Anwar, Ashish…
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learningby Haoliang Wang, Chen Zhao, Feng…
Generalizable and Robust Spectral Method for Multi-view Representation Learningby Amitai Yacobi, Ofir Lindenbaum, Uri ShahamFirst…
FEED: Fairness-Enhanced Meta-Learning for Domain Generalizationby Kai Jiang, Chen Zhao, Haoliang Wang, Feng ChenFirst submitted…
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learningby Ziqing Fan, Shengchao Hu, Yuhang Zhou,…