Linus Ericsson | DeepAI

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∙ 09/07/2023

Better Practices for Domain Adaptation

Distribution shifts are all too common in real-world applications of mac...

0 Linus Ericsson, et al. ∙

∙ 05/14/2023

Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity

We present a comprehensive evaluation of Parameter-Efficient Fine-Tuning...

14 Raman Dutt, et al. ∙

∙ 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...

0 Linus Ericsson, et al. ∙

∙ 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...

0 Linus Ericsson, et al. ∙

∙ 10/18/2021

Self-Supervised Representation Learning: Introduction, Advances and Challenges

Self-supervised representation learning methods aim to provide powerful ...

0 Linus Ericsson, et al. ∙

∙ 11/26/2020

How Well Do Self-Supervised Models Transfer?

Self-supervised visual representation learning has seen huge progress in...

0 Linus Ericsson, et al. ∙

∙ 06/22/2020

Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights

In the absence of large labelled datasets, self-supervised learning tech...

0 Linus Ericsson, et al. ∙

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