48 citations · 54 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 6 cited
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI
Semen Budennyy, Vladimir Lazarev, Nikita Zakharenko +9
The size and complexity of deep neural networks continue to grow exponentially, significantly increasing energy consumption for training and inference by these models. We introduce…
cs.CL2019★ 48 cited
Tensorized Embedding Layers for Efficient Model Compression
Oleksii Hrinchuk, Valentin Khrulkov, Leyla Mirvakhabova +2
The embedding layers transforming input words into real vectors are the key components of deep neural networks used in natural language processing. However, when the vocabulary is…