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cs.LG2022
To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models
Julius Gonsior, Christian Falkenberg, Silvio Magino +3
Despite achieving state-of-the-art results in nearly all Natural Language Processing applications, fine-tuning Transformer-based language models still requires a significant amount…
cs.LG2022★ 5 cited
ImitAL: Learned Active Learning Strategy on Synthetic Data
Julius Gonsior, Maik Thiele, Wolfgang Lehner
Active Learning (AL) is a well-known standard method for efficiently obtaining annotated data by first labeling the samples that contain the most information based on a query strat…