Search Results for author: Elisabeth Rumetshofer

Found 6 papers, 4 papers with code

Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget

1 code implementation20 Apr 2023 Johannes Lehner, Benedikt Alkin, Andreas Fürst, Elisabeth Rumetshofer, Lukas Miklautz, Sepp Hochreiter

In this work, we study how to combine the efficiency and scalability of MIM with the ability of ID to perform downstream classification in the absence of large amounts of labeled data.

 Ranked #1 on Image Clustering on Imagenet-dog-15 (using extra training data)

Clustering Contrastive Learning +2

Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images

no code implementations14 Nov 2019 Susanne Kimeswenger, Elisabeth Rumetshofer, Markus Hofmarcher, Philipp Tschandl, Harald Kittler, Sepp Hochreiter, Wolfram Hötzenecker, Günter Klambauer

The aim of this study is to evaluate whether it is possible to detect basal cell carcinomas in histological sections using attention-based deep learning models and to overcome the ultra-high resolution and the weak labels of whole slide images.

whole slide images

Human-level Protein Localization with Convolutional Neural Networks

1 code implementation ICLR 2019 Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl, Sepp Hochreiter, Günter Klambauer

We present the largest comparison of CNN architectures including GapNet-PL for protein localization in HTI images of human cells.

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