8 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
Improving the sample-efficiency of neural architecture search with reinforcement learning
Attila Nagy, Ábel Boros
Designing complex architectures has been an essential cogwheel in the revolution deep learning has brought about in the past decade. When solving difficult problems in a datadriven…
cs.CL2021★ 8 cited
Automatic punctuation restoration with BERT models
Attila Nagy, Bence Bial, Judit Ács
We present an approach for automatic punctuation restoration with BERT models for English and Hungarian. For English, we conduct our experiments on Ted Talks, a commonly used bench…