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FILTER PRUNING VIA SOFTMAX ATTENTION

Citation Author(s):: sungmin cho
Submitted by:: sungmin cho
Last updated:: 24 September 2021 - 2:24am
Document Type:: Poster
Event:: ICIP 2021
Presenters:: sungmin cho

Categories:: Neural network learning (MLR-NNLR)
Keywords:: Network Pruning

ICIP_2021_final_poster.pdf

ICIP_2021_final_poster.pdf (208)

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Permalink Submitted by sungmin cho on 24 September 2021 - 2:25am

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Document Citation

[1] sungmin cho, "FILTER PRUNING VIA SOFTMAX ATTENTION", IEEE Signal Processing Society SigPort, 2021. [Online]. Available: https://sigport.org/documents/filter-pruning-softmax-attention. Accessed: Dec. 03, 2024.

BibTeX

@misc{6085-21,
url = {https://sigport.org/documents/filter-pruning-softmax-attention},
author = {sungmin cho },
publisher = {IEEE Signal Processing Society SigPort},
title = {FILTER PRUNING VIA SOFTMAX ATTENTION},
year = {2021} }

RIS

TY - DATA
T1 - FILTER PRUNING VIA SOFTMAX ATTENTION
AU - sungmin cho
PY - 2021
PB - IEEE Signal Processing Society SigPort
UR - https://sigport.org/documents/filter-pruning-softmax-attention
ER -

APA

sungmin cho. (2021). FILTER PRUNING VIA SOFTMAX ATTENTION. IEEE Signal Processing Society SigPort. https://sigport.org/documents/filter-pruning-softmax-attention

Harvard

sungmin cho, 2021. FILTER PRUNING VIA SOFTMAX ATTENTION. Available at: https://sigport.org/documents/filter-pruning-softmax-attention.

MLA

sungmin cho. (2021). "FILTER PRUNING VIA SOFTMAX ATTENTION." Web.

Vancouver

1. sungmin cho. FILTER PRUNING VIA SOFTMAX ATTENTION [Internet]. IEEE Signal Processing Society SigPort; 2021. Available from : https://sigport.org/documents/filter-pruning-softmax-attention

Chicacgo

sungmin cho. "FILTER PRUNING VIA SOFTMAX ATTENTION." https://sigport.org/documents/filter-pruning-softmax-attention

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