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An efficient RNN Language Model using activity sparsity and sparse back-propagation through time

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Contributors

Mark Schöne - , Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics, Chair of Machine Learning for Computer Vision (Author)
Khaleelulla Khan Nazeer - , Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics (Author)
Christian Mayr - , Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics (Author)
David Kappel - , Ruhr University Bochum (Author)
Anand Subramoney - , Ruhr University Bochum (Author)

Details

Original language	English
Title of host publication	The 2nd Workshop on Efficient Natural Language and Speech Processing (NeurIPS 2022 Workshop)
Publication status	Published - 2022
Peer-reviewed	Yes

External IDs

ORCID	/0000-0001-8525-8702/work/168206514