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Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning

Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning

12 February 2020
Sejun Park
Jaeho Lee
Sangwoo Mo
Jinwoo Shin
ArXivPDFHTML

Papers citing "Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning"

12 / 12 papers shown
Title
Torch2Chip: An End-to-end Customizable Deep Neural Network Compression
  and Deployment Toolkit for Prototype Hardware Accelerator Design
Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design
Jian Meng
Yuan Liao
Anupreetham Anupreetham
Ahmed Hassan
Shixing Yu
Han-Sok Suh
Xiaofeng Hu
Jae-sun Seo
MQ
49
1
0
02 May 2024
ONNXPruner: ONNX-Based General Model Pruning Adapter
ONNXPruner: ONNX-Based General Model Pruning Adapter
Dongdong Ren
Wenbin Li
Tianyu Ding
Lei Wang
Qi Fan
Jing Huo
Hongbing Pan
Yang Gao
39
3
0
10 Apr 2024
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large
  Language Models
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models
Minsik Cho
Keivan Alizadeh Vahid
Qichen Fu
Saurabh N. Adya
C. C. D. Mundo
Mohammad Rastegari
Devang Naik
Peter Zatloukal
MQ
26
6
0
02 Sep 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
37
2
0
24 May 2023
Design Automation for Fast, Lightweight, and Effective Deep Learning
  Models: A Survey
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Dalin Zhang
Kaixuan Chen
Yan Zhao
B. Yang
Li-Ping Yao
Christian S. Jensen
46
3
0
22 Aug 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
Edouard Yvinec
Arnaud Dapogny
Matthieu Cord
Kévin Bailly
42
9
0
08 Jul 2022
ViNNPruner: Visual Interactive Pruning for Deep Learning
ViNNPruner: Visual Interactive Pruning for Deep Learning
U. Schlegel
Samuel Schiegg
Daniel A. Keim
VLM
27
2
0
31 May 2022
Perturbation of Deep Autoencoder Weights for Model Compression and
  Classification of Tabular Data
Perturbation of Deep Autoencoder Weights for Model Compression and Classification of Tabular Data
Manar D. Samad
Sakib Abrar
22
12
0
17 May 2022
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting
  and Output Merging
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging
Edouard Yvinec
Arnaud Dapogny
Matthieu Cord
Kévin Bailly
28
15
0
30 Sep 2021
DKM: Differentiable K-Means Clustering Layer for Neural Network
  Compression
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression
Minsik Cho
Keivan Alizadeh Vahid
Saurabh N. Adya
Mohammad Rastegari
34
34
0
28 Aug 2021
Learned Token Pruning for Transformers
Learned Token Pruning for Transformers
Sehoon Kim
Sheng Shen
D. Thorsley
A. Gholami
Woosuk Kwon
Joseph Hassoun
Kurt Keutzer
17
146
0
02 Jul 2021
An Information-Theoretic Justification for Model Pruning
An Information-Theoretic Justification for Model Pruning
Berivan Isik
Tsachy Weissman
Albert No
95
35
0
16 Feb 2021
1