Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectivesby Sheng…
Representation Surgery for Multi-Task Model Mergingby Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun…
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learningby Lanqing Li, Hai Zhang, Xinyu…
Robust Multi-Task Learning with Excess Risksby Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi…
A Framework to Implement 1+N Multi-task Fine-tuning Pattern in LLMs Using the CGC-LORA Algorithmby Chao…
MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property Retrievalby Xingyan…
Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusionby Jinhan Wang, Long Chen,…
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraintsby Jiabin Lin, Shana…
Sharing Knowledge in Multi-Task Deep Reinforcement Learningby Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli,…
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimizationby Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu…