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09/07/2023
Better Practices for Domain Adaptation
Distribution shifts are all too common in real-world applications of mac...
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05/14/2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
We present a comprehensive evaluation of Parameter-Efficient Fine-Tuning...
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11/16/2022
Region Proposal Network Pre-Training Helps Label-Efficient Object Detection
Self-supervised pre-training, based on the pretext task of instance disc...
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11/22/2021
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks
Self-supervised learning is a powerful paradigm for representation learn...
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10/18/2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Self-supervised representation learning methods aim to provide powerful ...
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11/26/2020
How Well Do Self-Supervised Models Transfer?
Self-supervised visual representation learning has seen huge progress in...
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06/22/2020