research
∙
10/06/2022
To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models
Despite achieving state-of-the-art results in nearly all Natural Languag...
share
research
∙
08/24/2022
ImitAL: Learned Active Learning Strategy on Synthetic Data
Active Learning (AL) is a well-known standard method for efficiently obt...
research
∙
08/17/2021
ImitAL: Learning Active Learning Strategies from Synthetic Data
One of the biggest challenges that complicates applied supervised machin...
research
∙
05/31/2021
Accurate and Efficient Time Series Matching by Season- and Trend-aware Symbolic Approximation – Extended Version Including Additional Evaluation and Proofs
Processing and analyzing time series dataÂsets have become a central iss...
research
∙
11/28/2019
RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data
There are massive amounts of textual data residing in databases, valuabl...
research
∙
06/11/2018
