research
∙
07/05/2023
CAME: Confidence-guided Adaptive Memory Efficient Optimization
Adaptive gradient methods, such as Adam and LAMB, have demonstrated exce...
share
research
∙
03/12/2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
Continual learning (CL) can help pre-trained vision-language models effi...
research
∙
03/08/2023
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
Data pruning aims to obtain lossless performances as training on the ori...
research
∙
08/18/2022
Prompt Vision Transformer for Domain Generalization
Though vision transformers (ViTs) have exhibited impressive ability for ...
research
∙
09/25/2021
Multi-source Few-shot Domain Adaptation
Multi-source Domain Adaptation (MDA) aims to transfer predictive models ...
research
∙
07/03/2021
