Search Results for author: Johannes Lehner

Found 5 papers, 3 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

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