5 papers · 1 filter
CPATTA: Conformal Supervision Allocation For Active Test-Time Adaptation
Tingyu Shi, Fan Lyu, Shaoliang Peng +2
Active Test-Time Adaptation (ATTA) improves model robustness under domain shift by selectively querying human annotations at deployment, but existing methods use heuristic uncertai…
Towards stable training of parallel continual learning
Li Yuepan, Fan Lyu, Yuyang Li +3
Parallel Continual Learning (PCL) tasks investigate the training methods for continual learning with multi-source input, where data from different tasks are learned as they arrive.…
Parameter-Selective Continual Test-Time Adaptation
Jiaxu Tian, Fan Lyu
Continual Test-Time Adaptation (CTTA) aims to adapt a pretrained model to ever-changing environments during the test time under continuous domain shifts. Most existing CTTA approac…
Improving Data-aware and Parameter-aware Robustness for Continual Learning
Hanxi Xiao, Fan Lyu
The goal of Continual Learning (CL) task is to continuously learn multiple new tasks sequentially while achieving a balance between the plasticity and stability of new and old know…
Variational Continual Test-Time Adaptation
Fan Lyu, Kaile Du, Yuyang Li +5
Continual Test-Time Adaptation (CTTA) task investigates effective domain adaptation under the scenario of continuous domain shifts during testing time. Due to the utilization of so…