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2002.04809
Cited By
Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning
International Conference on Learning Representations (ICLR), 2020
12 February 2020
Sejun Park
Jaeho Lee
Sangwoo Mo
Jinwoo Shin
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Papers citing
"Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning"
50 / 57 papers shown
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235
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Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption
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210
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249
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14 Apr 2025
Pruning-based Data Selection and Network Fusion for Efficient Deep Learning
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381
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Haobing Liu
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330
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24 Dec 2024
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
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Haowei Zhu
Dehua Tang
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236
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603
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18 Jun 2024
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks
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Jie Lin
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340
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Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design
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Jian Meng
Yuan Liao
Anupreetham Anupreetham
Ahmed Hassan
Shixing Yu
Han-Sok Suh
Xiaofeng Hu
Jae-sun Seo
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243
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Data-independent Module-aware Pruning for Hierarchical Vision Transformers
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Qiufeng Wang
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272
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ONNXPruner: ONNX-Based General Model Pruning Adapter
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Wenbin Li
Tianyu Ding
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Qi Fan
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Yang Gao
352
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A. Rupam Mahmood
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374
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Salimeh Yasaei Sekeh
411
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Zigeng Chen
Gongfan Fang
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389
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228
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Edouard Yvinec
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Kévin Bailly
296
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PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning
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Tianyue Chu
Mengwei Yang
Nikolaos Laoutaris
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309
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30 Oct 2023
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models
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Keivan Alizadeh Vahid
Qichen Fu
Saurabh N. Adya
C. C. D. Mundo
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Devang Naik
Peter Zatloukal
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295
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Manas Gupta
Lihui Chen
245
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Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis
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S. M. Patil
Loizos Michael
C. Dovrolis
272
0
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28 May 2023
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
International Conference on Learning Representations (ICLR), 2023
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Hyungi Lee
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309
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24 May 2023
Layer-adaptive Structured Pruning Guided by Latency
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Linna Zhang
Jie Zhang
Xiaoshuang Li
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264
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Structural Pruning for Diffusion Models
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469
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18 May 2023
Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment
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Yong-Hyuk Moon
233
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0
03 Mar 2023
Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning
Mohamed Elsayed
A. R. Mahmood
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306
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07 Feb 2023
DepGraph: Towards Any Structural Pruning
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Weilong Dai
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460
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30 Jan 2023
AP: Selective Activation for De-sparsifying Pruned Neural Networks
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Rohan Ghosh
Dylan Tan
Mehul Motani
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212
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Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
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Rohan Ghosh
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Mehul Motani
271
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09 Dec 2022
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning
Conference on Algebraic Informatics (CAI), 2022
Manas Gupta
Efe Camci
Vishandi Rudy Keneta
Abhishek Vaidyanathan
Ritwik Kanodia
Chuan-Sheng Foo
Wu Min
Lin Jie
355
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29 Sep 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Dalin Zhang
Kaixuan Chen
Yan Zhao
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Li-Ping Yao
Christian S. Jensen
363
7
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22 Aug 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
Neural Information Processing Systems (NeurIPS), 2022
Edouard Yvinec
Arnaud Dapogny
Matthieu Cord
Kévin Bailly
236
11
0
08 Jul 2022
ViNNPruner: Visual Interactive Pruning for Deep Learning
U. Schlegel
Samuel Schiegg
Daniel A. Keim
VLM
137
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31 May 2022
Perturbation of Deep Autoencoder Weights for Model Compression and Classification of Tabular Data
Neural Networks (NN), 2022
Manar D. Samad
Sakib Abrar
153
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17 May 2022
Aligned Weight Regularizers for Pruning Pretrained Neural Networks
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Sourav Dutta
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245
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MKQ-BERT: Quantized BERT with 4-bits Weights and Activations
Hanlin Tang
Xipeng Zhang
Kai Liu
Jianchen Zhu
Zhanhui Kang
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170
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Applications and Techniques for Fast Machine Learning in Science
Frontiers in Big Data (Front. Big Data), 2021
A. Deiana
Nhan Tran
Joshua C. Agar
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G. D. Guglielmo
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S. Summers
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Olivia Weng
279
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Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks
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144
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DKM: Differentiable K-Means Clustering Layer for Neural Network Compression
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Keivan Alizadeh Vahid
Saurabh N. Adya
Mohammad Rastegari
353
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Learned Token Pruning for Transformers
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Sheng Shen
D. Thorsley
A. Gholami
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Joseph Hassoun
Kurt Keutzer
440
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0
02 Jul 2021
Dep-
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Shihao Ji
129
1
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30 Jun 2021
AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning
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Ke Xu
Qi Li
Yang Liu
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172
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RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks
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Edouard Yvinec
Arnaud Dapogny
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Kévin Bailly
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172
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31 May 2021
LEAP: Learnable Pruning for Transformer-based Models
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Xiaoxia Wu
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276
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30 May 2021
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