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05/22/2023
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment
Source-free Unsupervised Domain Adaptation (SF-UDA) aims to adapt a well...
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02/24/2023
Towards Stable Test-Time Adaptation in Dynamic Wild World
Test-time adaptation (TTA) has shown to be effective at tackling distrib...
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07/22/2022
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation
This paper studies a new, practical but challenging problem, called Clas...
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04/06/2022
Efficient Test-Time Model Adaptation without Forgetting
Test-time adaptation (TTA) seeks to tackle potential distribution shifts...
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03/21/2022
Boost Test-Time Performance with Closed-Loop Inference
Conventional deep models predict a test sample with a single forward pro...
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07/01/2021
AdaXpert: Adapting Neural Architecture for Growing Data
In real-world applications, data often come in a growing manner, where t...
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04/30/2020
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19
The outbreak of novel coronavirus disease 2019 (COVID-19) has already in...
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03/29/2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Neural architecture search (NAS) has gained increasing attention in the ...
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11/18/2019
Online Adaptive Asymmetric Active Learning with Limited Budgets
Online Active Learning (OAL) aims to manage unlabeled datastream by sele...
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11/17/2019
