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11/16/2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Neural networks pre-trained on a self-supervision scheme have become the...
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05/18/2022
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision
Nowadays, deep neural networks outperform humans in many tasks. However,...
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09/06/2021
Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows
One major drawback of state-of-the-art artificial intelligence is its la...
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05/05/2021
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation
Deep convolutional neural networks have considerably improved state-of-t...
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03/30/2021
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
An unresolved problem in Deep Learning is the ability of neural networks...
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03/08/2021