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07/31/2023
Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy
Current state-of-the-art results in computer vision depend in part on fi...
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03/09/2023
Masked Image Modeling with Local Multi-Scale Reconstruction
Masked Image Modeling (MIM) achieves outstanding success in self-supervi...
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03/14/2022
Rethinking Minimal Sufficient Representation in Contrastive Learning
Contrastive learning between different views of the data achieves outsta...
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04/29/2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Few-shot classification aims to recognize unseen classes with few labele...
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09/12/2020
Few-shot Learning with LSSVM Base Learner and Transductive Modules
The performance of meta-learning approaches for few-shot learning genera...
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10/25/2019
