Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2405.00433
Cited By
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models
1 May 2024
Rishav Mukherji
Mark Schöne
Khaleelulla Khan Nazeer
Christian Mayr
David Kappel
Anand Subramoney
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models"
19 / 19 papers shown
Title
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
Biswadeep Chakraborty
Beomseok Kang
H. Kumar
Saibal Mukhopadhyay
99
11
0
06 Mar 2024
RWKV: Reinventing RNNs for the Transformer Era
Bo Peng
Eric Alcaide
Quentin G. Anthony
Alon Albalak
Samuel Arcadinho
...
Qihang Zhao
P. Zhou
Qinghua Zhou
Jian Zhu
Rui-Jie Zhu
205
593
0
22 May 2023
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
Jason Yik
Korneel Van den Berghe
Douwe den Blanken
Younes Bouhadjar
Maxime Fabre
...
Fatima Tuz Zohora
Charlotte Frenkel
Vijay Janapa Reddi
Charlotte Frenkel
Vijay Janapa Reddi
82
21
0
10 Apr 2023
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Ruokai Yin
Priyadarshini Panda
102
48
0
04 Jul 2022
Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks
Kevin Lee Hunter
Lawrence Spracklen
Subutai Ahmad
60
20
0
27 Dec 2021
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-Temporal Sparsity
Chang Gao
T. Delbruck
Shih-Chii Liu
56
45
0
04 Aug 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
311
718
0
31 Jan 2021
Connection Pruning for Deep Spiking Neural Networks with On-Chip Learning
Thao N. N. Nguyen
B. Veeravalli
Xuanyao Fong
48
14
0
09 Oct 2020
Long Short-Term Memory Spiking Networks and Their Applications
Ali Lotfi-Rezaabad
S. Vishwanath
47
62
0
09 Jul 2020
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
Zhilin Yang
Zihang Dai
Ruslan Salakhutdinov
William W. Cohen
BDL
63
371
0
10 Nov 2017
STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy Efficient Recognition
Nitin Rathi
Priyadarshini Panda
Kaushik Roy
47
113
0
12 Oct 2017
To prune, or not to prune: exploring the efficacy of pruning for model compression
Michael Zhu
Suyog Gupta
191
1,276
0
05 Oct 2017
Exploring Sparsity in Recurrent Neural Networks
Sharan Narang
Erich Elsen
G. Diamos
Shubho Sengupta
38
312
0
17 Apr 2017
Delta Networks for Optimized Recurrent Network Computation
Daniel Neil
Junhaeng Lee
T. Delbruck
Shih-Chii Liu
83
66
0
16 Dec 2016
Improving Neural Language Models with a Continuous Cache
Edouard Grave
Armand Joulin
Nicolas Usunier
KELM
48
300
0
13 Dec 2016
Sigma Delta Quantized Networks
Peter O'Connor
Max Welling
52
48
0
07 Nov 2016
Pointer Sentinel Mixture Models
Stephen Merity
Caiming Xiong
James Bradbury
R. Socher
RALM
308
2,854
0
26 Sep 2016
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
310
6,672
0
08 Jun 2015
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,344
0
03 Jun 2014
1