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Trevor Gale
Trevor Gale
Stanford University
Geverifieerd e-mailadres voor stanford.edu
Titel
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Geciteerd door
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On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
50032021
The state of sparsity in deep neural networks
T Gale, E Elsen, S Hooker
arXiv preprint arXiv:1902.09574, 2019
8542019
Rigging the lottery: Making all tickets winners
U Evci, T Gale, J Menick, PS Castro, E Elsen
International conference on machine learning, 2943-2952, 2020
6682020
Sparse gpu kernels for deep learning
T Gale, M Zaharia, C Young, E Elsen
SC20: International Conference for High Performance Computing, Networking …, 2020
2892020
Fast sparse convnets
E Elsen, M Dukhan, T Gale, K Simonyan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1742020
On the opportunities and risks of foundation models. arXiv 2021
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S Von Arx, ...
arXiv preprint arXiv:2108.07258, 2023
1182023
Megablocks: Efficient sparse training with mixture-of-experts
T Gale, D Narayanan, C Young, M Zaharia
Proceedings of Machine Learning and Systems 5, 288-304, 2023
952023
The state of sparsity in deep neural networks.(2019)
T Gale, E Elsen, S Hooker
arXiv preprint cs.LG/1902.09574, 2019
462019
The state of sparsity in deep neural networks. arXiv e-prints
T Gale, E Elsen, S Hooker
arXiv preprint arXiv:1902.09574, 2019
162019
Delineation of skin strata in reflectance confocal microscopy images with recurrent convolutional networks
A Bozkurt, T Gale, K Kose, C Alessi-Fox, DH Brooks, M Rajadhyaksha, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
132017
Recurrentgemma: Moving past transformers for efficient open language models
A Botev, S De, SL Smith, A Fernando, GC Muraru, R Haroun, L Berrada, ...
arXiv preprint arXiv:2404.07839, 2024
102024
JaxPruner: A concise library for sparsity research
JH Lee, W Park, NE Mitchell, J Pilault, JSO Ceron, HB Kim, N Lee, ...
Conference on Parsimony and Learning, 515-528, 2024
82024
Rigging the Lottery: Making All Tickets Winners. arXiv e-prints, art
U Evci, T Gale, J Menick, PS Castro, E Elsen
arXiv preprint arXiv:1911.11134, 2019
62019
Fast sparse neural networks
EK Elsen, TJ Gale, M Dukhan
US Patent App. 17/763,924, 2022
42022
dMath: Distributed Linear Algebra for DL
S Eliuk, C Upright, H Vardhan, S Walsh, T Gale
arXiv preprint arXiv:1611.07819, 2016
22016
Scorch: A Library for Sparse Deep Learning
B Yan, AJ Root, T Gale, D Broman, F Kjolstad
arXiv preprint arXiv:2405.16883, 2024
12024
Sparse matrix operations for deep learning
EK Elsen, TJ Gale, RC Young
US Patent App. 17/791,771, 2023
12023
General-Purpose Systolic Array
RC Young, T Gale, S Honnavara-Prasad, P Mantovani
US Patent App. 18/376,494, 2024
2024
Efficient Sparsity for Deep Learning
T Gale
Stanford University, 2024
2024
General-purpose systolic array
RC Young, T Gale, S Honnavara-Prasad, P Mantovani
US Patent 11,829,321, 2023
2023
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