A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimationby Steven…
Supervised Batch Normalizationby Bilal Faye, Mustapha Lebbah, Hanane AzzagFirst submitted to arxiv on: 27 May…
Towards Multi-Task Multi-Modal Models: A Video Generative Perspectiveby Lijun YuFirst submitted to arxiv on: 26…
Mixture of Latent Experts Using Tensor Productsby Zhan Su, Fengran Mo, Prayag Tiwari, Benyou Wang,…
A Second-Order Perspective on Model Compositionality and Incremental Learningby Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega,…
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learningby Minghao Xu, Yunteng Geng, Yihang…
Theoretical Study of Conflict-Avoidant Multi-Objective Reinforcement Learningby Yudan Wang, Peiyao Xiao, Hao Ban, Kaiyi Ji,…
Adversarial Attacks on Hidden Tasks in Multi-Task Learningby Yu Zhe, Rei Nagaike, Daiki Nishiyama, Kazuto…
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learningby Sanchit Sinha, Yuguang Yue, Victor…
LiPost: Improved Content Understanding With Effective Use of Multi-task Contrastive Learningby Akanksha Bindal, Sudarshan Ramanujam,…