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20202026
most citedLLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages

3 citations · 7 across the 7 of their papers we have counts for

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cs.LG2024

Towards an Improved Metric for Evaluating Disentangled Representations

Sahib Julka, Yashu Wang, Michael Granitzer

Disentangled representation learning plays a pivotal role in making representations controllable, interpretable and transferable. Despite its significance in the domain, the quest…

cs.LG2024★ 2 cited

DriftGAN: Using historical data for Unsupervised Recurring Drift Detection

Christofer Fellicious, Sahib Julka, Lorenz Wendlinger +1

In real-world applications, input data distributions are rarely static over a period of time, a phenomenon known as concept drift. Such concept drifts degrade the model's predictio…