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2304.14082
Cited By
JaxPruner: A concise library for sparsity research
27 April 2023
Jooyoung Lee
Wonpyo Park
Nicole Mitchell
Jonathan Pilault
J. Obando-Ceron
Han-Byul Kim
Namhoon Lee
Elias Frantar
Yun Long
Amir Yazdanbakhsh
Shivani Agrawal
Suvinay Subramanian
Xin Wang
Sheng-Chun Kao
Xingyao Zhang
Trevor Gale
Aart J. C. Bik
Woohyun Han
Milen Ferev
Zhonglin Han
Hong-Seok Kim
Yann N. Dauphin
Karolina Dziugaite
P. S. Castro
Utku Evci
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Papers citing
"JaxPruner: A concise library for sparsity research"
8 / 8 papers shown
Title
Navigating Extremes: Dynamic Sparsity in Large Output Spaces
Nasib Ullah
Erik Schultheis
Mike Lasby
Yani Andrew Ioannou
Rohit Babbar
28
0
0
05 Nov 2024
Neuroplastic Expansion in Deep Reinforcement Learning
Jiashun Liu
J. Obando-Ceron
Aaron C. Courville
L. Pan
31
3
0
10 Oct 2024
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
Boqian Wu
Q. Xiao
Shunxin Wang
N. Strisciuglio
Mykola Pechenizkiy
M. V. Keulen
D. Mocanu
Elena Mocanu
OOD
3DH
48
0
0
03 Oct 2024
SCENIC: A JAX Library for Computer Vision Research and Beyond
Mostafa Dehghani
A. Gritsenko
Anurag Arnab
Matthias Minderer
Yi Tay
41
67
0
18 Oct 2021
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
Itay Hubara
Brian Chmiel
Moshe Island
Ron Banner
S. Naor
Daniel Soudry
44
110
0
16 Feb 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
131
679
0
31 Jan 2021
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
175
1,018
0
06 Mar 2020
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
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