2 citations · 2 across the 7 of their papers we have counts for
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cs.LG2025
Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix
Mehmet Can Yavuz, Berrin Yanikoglu
A central challenge in representation learning is constructing latent embeddings that are both expressive and efficient. In practice, deep networks often produce redundant latent s…
cs.LG2025
Variational Self-Supervised Learning
Mehmet Can Yavuz, Berrin Yanikoglu
We present Variational Self-Supervised Learning (VSSL), a novel framework that combines variational inference with self-supervised learning to enable efficient, decoder-free repres…
cs.CL2025★ 2 cited
Dealing with Annotator Disagreement in Hate Speech Classification
Somaiyeh Dehghan, Mehmet Umut Sen, Berrin Yanikoglu
Hate speech detection is a crucial task, especially on social media where harmful content can spread quickly. Collecting social media content (tweets etc.) to train machine learnin…