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Learning both Weights and Connections for Efficient Neural Networks

Learning both Weights and Connections for Efficient Neural Networks

8 June 2015
Song Han
Jeff Pool
J. Tran
W. Dally
    CVBM
ArXivPDFHTML

Papers citing "Learning both Weights and Connections for Efficient Neural Networks"

50 / 1,144 papers shown
Title
Incrementally-Computable Neural Networks: Efficient Inference for
  Dynamic Inputs
Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs
Or Sharir
Anima Anandkumar
32
0
0
27 Jul 2023
Digital Modeling on Large Kernel Metamaterial Neural Network
Digital Modeling on Large Kernel Metamaterial Neural Network
Quan Liu
Hanyu Zheng
Brandon T. Swartz
Ho Hin Lee
Zuhayr Asad
I. Kravchenko
Jason G Valentine
Yuankai Huo
20
4
0
21 Jul 2023
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Vasileios Leon
Muhammad Abdullah Hanif
Giorgos Armeniakos
Xun Jiao
Mohamed Bennai
K. Pekmestzi
Dimitrios Soudris
44
3
0
20 Jul 2023
Spatial-Spectral Hyperspectral Classification based on Learnable 3D
  Group Convolution
Spatial-Spectral Hyperspectral Classification based on Learnable 3D Group Convolution
Guandong Li
M. Ye
31
6
0
15 Jul 2023
Exploring the Lottery Ticket Hypothesis with Explainability Methods:
  Insights into Sparse Network Performance
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance
Shantanu Ghosh
Kayhan Batmanghelich
35
0
0
07 Jul 2023
Distilled Pruning: Using Synthetic Data to Win the Lottery
Distilled Pruning: Using Synthetic Data to Win the Lottery
Luke McDermott
Daniel Cummings
SyDa
DD
36
1
0
07 Jul 2023
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
Jun Chen
Shipeng Bai
Tianxin Huang
Mengmeng Wang
Guanzhong Tian
Y. Liu
MQ
44
18
0
02 Jul 2023
Filter Pruning for Efficient CNNs via Knowledge-driven Differential
  Filter Sampler
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler
Shaohui Lin
Wenxuan Huang
Jiao Xie
Baochang Zhang
Yunhang Shen
Zhou Yu
Jungong Han
David Doermann
30
2
0
01 Jul 2023
An Efficient Sparse Inference Software Accelerator for Transformer-based
  Language Models on CPUs
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs
Haihao Shen
Hengyu Meng
Bo Dong
Zhe Wang
Ofir Zafrir
...
Hanwen Chang
Qun Gao
Zi. Wang
Guy Boudoukh
Moshe Wasserblat
MoE
41
4
0
28 Jun 2023
Quantifying lottery tickets under label noise: accuracy, calibration,
  and complexity
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity
V. Arora
Daniele Irto
Sebastian Goldt
G. Sanguinetti
52
2
0
21 Jun 2023
A Simple and Effective Pruning Approach for Large Language Models
A Simple and Effective Pruning Approach for Large Language Models
Mingjie Sun
Zhuang Liu
Anna Bair
J. Zico Kolter
90
364
0
20 Jun 2023
LoSparse: Structured Compression of Large Language Models based on
  Low-Rank and Sparse Approximation
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
Yixiao Li
Yifan Yu
Qingru Zhang
Chen Liang
Pengcheng He
Weizhu Chen
Tuo Zhao
49
69
0
20 Jun 2023
Magnificent Minified Models
Magnificent Minified Models
Richard E. Harang
Hillary Sanders
19
0
0
16 Jun 2023
Spatial Re-parameterization for N:M Sparsity
Spatial Re-parameterization for N:M Sparsity
Yuxin Zhang
Mingbao Lin
Mingliang Xu
Mengzhao Chen
Rongrong Ji
48
2
0
09 Jun 2023
Magnitude Attention-based Dynamic Pruning
Magnitude Attention-based Dynamic Pruning
Jihye Back
Namhyuk Ahn
Jang-Hyun Kim
43
2
0
08 Jun 2023
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural
  Networks
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
Jiangrong Shen
Qi Xu
Jian K. Liu
Yueming Wang
Gang Pan
Huajin Tang
30
42
0
06 Jun 2023
Vision Transformers for Mobile Applications: A Short Survey
Vision Transformers for Mobile Applications: A Short Survey
Nahid Alam
Steven Kolawole
S. Sethi
Nishant Bansali
Karina Nguyen
ViT
42
3
0
30 May 2023
A Transfer Learning and Explainable Solution to Detect mpox from
  Smartphones images
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images
M. Campana
Marco Colussi
Franca Delmastro
S. Mascetti
Elena Pagani
20
10
0
29 May 2023
Adaptive Sparsity Level during Training for Efficient Time Series
  Forecasting with Transformers
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers
Zahra Atashgahi
Mykola Pechenizkiy
Raymond N. J. Veldhuis
Decebal Constantin Mocanu
AI4TS
AI4CE
39
1
0
28 May 2023
One-Step Knowledge Distillation and Fine-Tuning in Using Large
  Pre-Trained Self-Supervised Learning Models for Speaker Verification
One-Step Knowledge Distillation and Fine-Tuning in Using Large Pre-Trained Self-Supervised Learning Models for Speaker Verification
Ju-Sung Heo
Chan-yeong Lim
Ju-ho Kim
Hyun-Seo Shin
Ha-Jin Yu
31
2
0
27 May 2023
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking
  Neural Networks
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
Xinyi Chen
Qu Yang
Jibin Wu
Haizhou Li
Kay Chen Tan
30
16
0
26 May 2023
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude
  Pruning
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
Moonseok Choi
Hyungi Lee
G. Nam
Juho Lee
45
2
0
24 May 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its
  Posterior Inference
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
Insung Kong
Dongyoon Yang
Jongjin Lee
Ilsang Ohn
Gyuseung Baek
Yongdai Kim
BDL
43
4
0
24 May 2023
PruMUX: Augmenting Data Multiplexing with Model Compression
PruMUX: Augmenting Data Multiplexing with Model Compression
Yushan Su
Vishvak Murahari
Karthik Narasimhan
Keqin Li
30
3
0
24 May 2023
Selective Pre-training for Private Fine-tuning
Selective Pre-training for Private Fine-tuning
Da Yu
Sivakanth Gopi
Janardhan Kulkarni
Zinan Lin
Saurabh Naik
Tomasz Religa
Jian Yin
Huishuai Zhang
43
19
0
23 May 2023
Lifting the Curse of Capacity Gap in Distilling Language Models
Lifting the Curse of Capacity Gap in Distilling Language Models
Chen Zhang
Yang Yang
Jiahao Liu
Jingang Wang
Yunsen Xian
Benyou Wang
Dawei Song
MoE
32
19
0
20 May 2023
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution
  Generalization
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization
Yingchun Wang
Jingcai Guo
Yi Liu
Song Guo
Weizhan Zhang
Xiangyong Cao
Qinghua Zheng
AAML
OODD
45
11
0
19 May 2023
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered
  by Reconfigurable Intelligent Surfaces
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces
Kyriakos Stylianopoulos
M. Merluzzi
P. Lorenzo
G. C. Alexandropoulos
43
9
0
18 May 2023
Boost Vision Transformer with GPU-Friendly Sparsity and Quantization
Boost Vision Transformer with GPU-Friendly Sparsity and Quantization
Chong Yu
Tao Chen
Zhongxue Gan
Jiayuan Fan
MQ
ViT
39
23
0
18 May 2023
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
Guihong Li
Kartikeya Bhardwaj
Yuedong Yang
R. Marculescu
AAML
46
0
0
13 May 2023
SPADE: Sparse Pillar-based 3D Object Detection Accelerator for
  Autonomous Driving
SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving
Minjae Lee
Seongmin Park
Hyung-Se Kim
Minyong Yoon
Jangwhan Lee
Junwon Choi
Nam Sung Kim
Mingu Kang
Jungwook Choi
3DPC
26
5
0
12 May 2023
Seeing is Believing: Brain-Inspired Modular Training for Mechanistic
  Interpretability
Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability
Ziming Liu
Eric Gan
Max Tegmark
31
36
0
04 May 2023
Cuttlefish: Low-Rank Model Training without All the Tuning
Cuttlefish: Low-Rank Model Training without All the Tuning
Hongyi Wang
Saurabh Agarwal
Pongsakorn U-chupala
Yoshiki Tanaka
Eric P. Xing
Dimitris Papailiopoulos
OffRL
65
22
0
04 May 2023
TorchBench: Benchmarking PyTorch with High API Surface Coverage
TorchBench: Benchmarking PyTorch with High API Surface Coverage
Yueming Hao
Xu Zhao
Bin Bao
David Berard
William Constable
Adnan Aziz
Xu Liu
43
5
0
27 Apr 2023
Continual Domain Adaptation through Pruning-aided Domain-specific Weight
  Modulation
Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation
B. Prasanna
Sunandini Sanyal
R. Venkatesh Babu
CLL
34
4
0
15 Apr 2023
Training Large Language Models Efficiently with Sparsity and Dataflow
Training Large Language Models Efficiently with Sparsity and Dataflow
V. Srinivasan
Darshan Gandhi
Urmish Thakker
R. Prabhakar
MoE
43
6
0
11 Apr 2023
A priori compression of convolutional neural networks for wave
  simulators
A priori compression of convolutional neural networks for wave simulators
Hamza Boukraichi
N. Akkari
F. Casenave
David Ryckelynck
23
2
0
11 Apr 2023
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural
  Network Pruning
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning
Shangli Zhou
Mikhail A. Bragin
Lynn Pepin
Deniz Gurevin
Fei Miao
Caiwen Ding
29
3
0
08 Apr 2023
NTK-SAP: Improving neural network pruning by aligning training dynamics
NTK-SAP: Improving neural network pruning by aligning training dynamics
Yite Wang
Dawei Li
Ruoyu Sun
47
19
0
06 Apr 2023
Physics-aware Roughness Optimization for Diffractive Optical Neural
  Networks
Physics-aware Roughness Optimization for Diffractive Optical Neural Networks
Shangli Zhou
Yingjie Li
Minhan Lou
Weilu Gao
Zhijie Shi
Cunxi Yu
Caiwen Ding
38
2
0
04 Apr 2023
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution
  Vision Transformer
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
Xuanyao Chen
Zhijian Liu
Haotian Tang
Li Yi
Hang Zhao
Song Han
ViT
31
47
0
30 Mar 2023
Distributed Neural Representation for Reactive in situ Visualization
Distributed Neural Representation for Reactive in situ Visualization
Qi Wu
J. Insley
V. Mateevitsi
S. Rizzi
M. Papka
Kwan-Liu Ma
37
1
0
28 Mar 2023
Compacting Binary Neural Networks by Sparse Kernel Selection
Compacting Binary Neural Networks by Sparse Kernel Selection
Yikai Wang
Wen-bing Huang
Yinpeng Dong
Gang Hua
Anbang Yao
MQ
41
4
0
25 Mar 2023
Learned Two-Plane Perspective Prior based Image Resampling for Efficient
  Object Detection
Learned Two-Plane Perspective Prior based Image Resampling for Efficient Object Detection
Anurag Ghosh
Dinesh Reddy Narapureddy
Christoph Mertz
S. Narasimhan
33
4
0
25 Mar 2023
Edge Deep Learning Model Protection via Neuron Authorization
Edge Deep Learning Model Protection via Neuron Authorization
Jinyin Chen
Haibin Zheng
Tianming Liu
Rongchang Li
Yao Cheng
Xuhong Zhang
S. Ji
FedML
31
0
0
22 Mar 2023
Low Rank Optimization for Efficient Deep Learning: Making A Balance
  between Compact Architecture and Fast Training
Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training
Xinwei Ou
Zhangxin Chen
Ce Zhu
Yipeng Liu
41
4
0
22 Mar 2023
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training
  Efficiency
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency
Vithursan Thangarasa
Shreyas Saxena
Abhay Gupta
Sean Lie
41
3
0
21 Mar 2023
Induced Feature Selection by Structured Pruning
Induced Feature Selection by Structured Pruning
Nathan Hubens
V. Delvigne
M. Mancas
B. Gosselin
Marius Preda
T. Zaharia
22
0
0
20 Mar 2023
DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision
  Models
DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models
Yucheng Ding
Chaoyue Niu
Fan Wu
Shaojie Tang
Chengfei Lyu
Guihai Chen
24
6
0
18 Mar 2023
SR-init: An interpretable layer pruning method
SR-init: An interpretable layer pruning method
Hui Tang
Yao Lu
Qi Xuan
20
9
0
14 Mar 2023
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