Summary of Pcotta: Continual Test-time Adaptation For Multi-task Point Cloud Understanding, by Jincen Jiang et al.
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understandingby Jincen Jiang, Qianyu Zhou, Yuhang Li,…
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understandingby Jincen Jiang, Qianyu Zhou, Yuhang Li,…
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learningby Xujia Wang, Haiyan Zhao, Shuo…
CopRA: A Progressive LoRA Training Strategyby Zhan Zhuang, Xiequn Wang, Yulong Zhang, Wei Li, Yu…
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptationby Daehee Lee, Minjong Yoo, Woo…
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rateby Zhiqi…
InLINE: Inner-Layer Information Exchange for Multi-task Learning on Heterogeneous Graphsby Xinyue Feng, Jinquan Hang, Yuequn…
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Mergingby Li Shen, Anke Tang,…
The Effects of Multi-Task Learning on ReLU Neural Network Functionsby Julia Nakhleh, Joseph Shenouda, Robert…
Identifying Selections for Unsupervised Subtask Discoveryby Yiwen Qiu, Yujia Zheng, Kun ZhangFirst submitted to arxiv…
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learningby Xun Guo, Shan Zhang, Yongxin He, Ting…