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1611.06694
Cited By
Training Sparse Neural Networks
21 November 2016
Suraj Srinivas
Akshayvarun Subramanya
R. Venkatesh Babu
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Papers citing
"Training Sparse Neural Networks"
34 / 34 papers shown
Title
SAND: One-Shot Feature Selection with Additive Noise Distortion
P. Pad
Hadi Hammoud
Mohamad Dia
Nadim Maamari
L. A. Dunbar
28
0
0
06 May 2025
Advancing Weight and Channel Sparsification with Enhanced Saliency
Xinglong Sun
Maying Shen
Hongxu Yin
Lei Mao
Pavlo Molchanov
Jose M. Alvarez
54
1
0
05 Feb 2025
Efficient Sparse Training with Structured Dropout
Andy Lo
BDL
35
0
0
02 Nov 2024
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models
Philipp Mondorf
Sondre Wold
Barbara Plank
39
0
0
02 Oct 2024
DSFormer: Effective Compression of Text-Transformers by Dense-Sparse Weight Factorization
Rahul Chand
Yashoteja Prabhu
Pratyush Kumar
20
3
0
20 Dec 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
Hongwu Peng
Shaoyi Huang
Tong Zhou
Yukui Luo
Chenghong Wang
...
Tony Geng
Kaleel Mahmood
Wujie Wen
Xiaolin Xu
Caiwen Ding
OffRL
47
38
0
20 Aug 2023
NTK-SAP: Improving neural network pruning by aligning training dynamics
Yite Wang
Dawei Li
Ruoyu Sun
42
19
0
06 Apr 2023
Learning Sparsity of Representations with Discrete Latent Variables
Zhao Xu
Daniel Oñoro-Rubio
G. Serra
Mathias Niepert
13
0
0
03 Apr 2023
Balanced Training for Sparse GANs
Yite Wang
Jing Wu
N. Hovakimyan
Ruoyu Sun
48
9
0
28 Feb 2023
Spatial Mixture-of-Experts
Nikoli Dryden
Torsten Hoefler
MoE
34
9
0
24 Nov 2022
Streaming, fast and accurate on-device Inverse Text Normalization for Automatic Speech Recognition
Yashesh Gaur
Nick Kibre
Jian Xue
Kangyuan Shu
Yuhui Wang
Issac Alphonso
Jinyu Li
Jiawei Liu
16
6
0
07 Nov 2022
Sequential Attention for Feature Selection
T. Yasuda
M. Bateni
Lin Chen
Matthew Fahrbach
Gang Fu
Vahab Mirrokni
39
11
0
29 Sep 2022
Sparse Vicious Attacks on Graph Neural Networks
Giovanni Trappolini
Valentino Maiorca
Silvio Severino
Emanuele Rodolà
Fabrizio Silvestri
Gabriele Tolomei
AAML
30
8
0
20 Sep 2022
Accelerating Attention through Gradient-Based Learned Runtime Pruning
Zheng Li
Soroush Ghodrati
Amir Yazdanbakhsh
H. Esmaeilzadeh
Mingu Kang
27
17
0
07 Apr 2022
Sparse Federated Learning with Hierarchical Personalized Models
Xiaofeng Liu
Qing Wang
Yunfeng Shao
Yinchuan Li
FedML
47
11
0
25 Mar 2022
Pruning-aware Sparse Regularization for Network Pruning
Nanfei Jiang
Xu Zhao
Chaoyang Zhao
Yongqi An
Ming Tang
Jinqiao Wang
3DPC
24
12
0
18 Jan 2022
Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers
L. Guan
Xia Xiao
Ming-yue Chen
Youlong Cheng
27
1
0
07 Dec 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
Xiao Zhou
Weizhong Zhang
Zonghao Chen
Shizhe Diao
Tong Zhang
37
46
0
10 Nov 2021
End-to-End Supermask Pruning: Learning to Prune Image Captioning Models
J. Tan
C. Chan
Joon Huang Chuah
VLM
51
16
0
07 Oct 2021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
Shiwei Liu
Tianlong Chen
Xiaohan Chen
Zahra Atashgahi
Lu Yin
Huanyu Kou
Li Shen
Mykola Pechenizkiy
Zhangyang Wang
Decebal Constantin Mocanu
40
111
0
19 Jun 2021
Effective Sparsification of Neural Networks with Global Sparsity Constraint
Xiao Zhou
Weizhong Zhang
Hang Xu
Tong Zhang
21
61
0
03 May 2021
Lottery Jackpots Exist in Pre-trained Models
Yuxin Zhang
Mingbao Lin
Yan Wang
Rongrong Ji
Rongrong Ji
30
15
0
18 Apr 2021
Neural Network for Weighted Signal Temporal Logic
Ruixuan Yan
A. Julius
AI4TS
22
10
0
08 Apr 2021
On the Robustness of Monte Carlo Dropout Trained with Noisy Labels
Purvi Goel
Li Chen
NoLa
36
15
0
22 Mar 2021
DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and
L
0
L_0
L
0
Regularization
Yaniv Shulman
46
3
0
07 Dec 2020
Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks
Pengtao Xu
Jian Cao
Fanhua Shang
Wenyu Sun
Pu Li
3DPC
20
24
0
29 Nov 2020
Rethinking Weight Decay For Efficient Neural Network Pruning
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
T. Hannagan
David Bertrand
26
25
0
20 Nov 2020
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet
Lorenzo Valerio
F. M. Nardini
A. Passarella
R. Perego
25
12
0
17 Nov 2020
Learned Threshold Pruning
K. Azarian
Yash Bhalgat
Jinwon Lee
Tijmen Blankevoort
MQ
28
38
0
28 Feb 2020
Discrimination-aware Network Pruning for Deep Model Compression
Jing Liu
Bohan Zhuang
Zhuangwei Zhuang
Yong Guo
Junzhou Huang
Jin-Hui Zhu
Mingkui Tan
CVBM
19
119
0
04 Jan 2020
Image Captioning with Sparse Recurrent Neural Network
J. Tan
Chee Seng Chan
Joon Huang Chuah
VLM
29
6
0
28 Aug 2019
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints
Shaofeng Cai
Gang Chen
Beng Chin Ooi
Jinyang Gao
25
19
0
03 Apr 2019
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Ameya Prabhu
G. Varma
A. Namboodiri
GNN
30
70
0
23 Nov 2017
On the stable recovery of deep structured linear networks under sparsity constraints
F. Malgouyres
24
7
0
31 May 2017
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