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What is the State of Neural Network Pruning?

What is the State of Neural Network Pruning?

Conference on Machine Learning and Systems (MLSys), 2020
6 March 2020
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
ArXiv (abs)PDFHTML

Papers citing "What is the State of Neural Network Pruning?"

50 / 561 papers shown
TropNNC: Structured Neural Network Compression Using Tropical Geometry
TropNNC: Structured Neural Network Compression Using Tropical Geometry
Konstantinos Fotopoulos
Petros Maragos
Panagiotis Misiakos
328
3
0
24 Dec 2025
Lean Unet: A Compact Model for Image Segmentation
Lean Unet: A Compact Model for Image Segmentation
Ture Hassler
Ida Åkerholm
Marcus Nordström
Gabriele Balletti
Orcun Goksel
90
0
0
03 Dec 2025
Data Curation Through the Lens of Spectral Dynamics: Static Limits, Dynamic Acceleration, and Practical Oracles
Data Curation Through the Lens of Spectral Dynamics: Static Limits, Dynamic Acceleration, and Practical Oracles
Yizhou Zhang
Lun Du
182
0
0
02 Dec 2025
Projection-Free CNN Pruning via Frank-Wolfe with Momentum: Sparser Models with Less Pretraining
Projection-Free CNN Pruning via Frank-Wolfe with Momentum: Sparser Models with Less Pretraining
Hamza ElMokhtar Shili
Natasha Patnaik
Isabelle Ruble
Kathryn Jarjoura
Daniel Suarez Aguirre
90
0
0
30 Nov 2025
ModHiFi: Identifying High Fidelity predictive components for Model Modification
ModHiFi: Identifying High Fidelity predictive components for Model Modification
Dhruva Kashyap
Chaitanya Murti
Pranav K Nayak
Tanay Narshana
Chiranjib Bhattacharyya
218
1
0
24 Nov 2025
Teacher-Guided One-Shot Pruning via Context-Aware Knowledge Distillation
Teacher-Guided One-Shot Pruning via Context-Aware Knowledge Distillation
Md. Samiul Alim
Sharjil Khan
Amrijit Biswas
Fuad Rahman
Shafin Rahman
Nabeel Mohammed
VLM
189
0
0
20 Nov 2025
Weight-sparse transformers have interpretable circuits
Weight-sparse transformers have interpretable circuits
Leo Gao
Achyuta Rajaram
Jacob Coxon
Soham V. Govande
Bowen Baker
Dan Mossing
MILM
318
17
0
17 Nov 2025
TwIST: Rigging the Lottery in Transformers with Independent Subnetwork Training
TwIST: Rigging the Lottery in Transformers with Independent Subnetwork Training
Michael Menezes
Barbara Su
Xinze Feng
Yehya Farhat
Hamza Shili
Anastasios Kyrillidis
224
1
0
06 Nov 2025
Fibbinary-Based Compression and Quantization for Efficient Neural Radio Receivers
Fibbinary-Based Compression and Quantization for Efficient Neural Radio Receivers
Roberta Fiandaca
Manil Dev Gomony
MQ
197
0
0
01 Nov 2025
Adaptive Training of INRs via Pruning and Densification
Adaptive Training of INRs via Pruning and Densification
Diana Aldana
João Paulo Lima
Daniel Csillag
Daniel Perazzo
Haoan Feng
Luiz Velho
Tiago Novello
159
0
0
27 Oct 2025
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
Shiva Sreeram
Alaa Maalouf
Pratyusha Sharma
Daniela Rus
148
0
0
23 Oct 2025
S2AP: Score-space Sharpness Minimization for Adversarial Pruning
S2AP: Score-space Sharpness Minimization for Adversarial Pruning
Giorgio Piras
Qi Zhao
Fabio Brau
Maura Pintor
Christian Wressnegger
Battista Biggio
AAML
166
0
0
21 Oct 2025
From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models
From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models
Ziyan Wang
Enmao Diao
Qi Le
Pu Wang
Minwoo Lee
Shu-ping Yeh
Evgeny Stupachenko
Hao Feng
Li Yang
172
2
0
20 Oct 2025
Efficient Dynamic Structured Sparse Training with Learned Shuffles
Efficient Dynamic Structured Sparse Training with Learned Shuffles
Abhishek Tyagi
Arjun Iyer
Liam Young
William H Renninger
Christopher Kanan
Yuhao Zhu
128
0
0
16 Oct 2025
Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization
Differentiable Sparsity via DDD-Gating: Simple and Versatile Structured Penalization
Chris Kolb
Laetitia Frost
J. Herbinger
David Rügamer
462
1
0
28 Sep 2025
Smaller is Better: Enhancing Transparency in Vehicle AI Systems via Pruning
Smaller is Better: Enhancing Transparency in Vehicle AI Systems via Pruning
Sanish Suwal
Shaurya Garg
Dipkamal Bhusal
Michael Clifford
Nidhi Rastogi
AAML
222
1
0
24 Sep 2025
Efficient Reinforcement Learning by Reducing Forgetting with Elephant Activation Functions
Efficient Reinforcement Learning by Reducing Forgetting with Elephant Activation Functions
Qingfeng Lan
Gautham Vasan
A. R. Mahmood
CLL
166
0
0
23 Sep 2025
Deep Hierarchical Learning with Nested Subspace Networks for Large Language Models
Deep Hierarchical Learning with Nested Subspace Networks for Large Language Models
Paulius Rauba
M. Schaar
197
2
0
22 Sep 2025
Deep Learning-Driven Peptide Classification in Biological Nanopores
Deep Learning-Driven Peptide Classification in Biological Nanopores
S. Tovey
Julian Hoßbach
Sandro Kuppel
Tobias Ensslen
Jan C. Behrends
Christian Holm
133
0
0
17 Sep 2025
Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits
Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits
Michael Kölle
Leonhard Klingert
Julian Schonberger
Philipp Altmann
Tobias Rohe
Claudia Linnhoff-Popien
130
0
0
14 Sep 2025
Application of discrete Ricci curvature in pruning randomly wired neural networks: A case study with chest x-ray classification of COVID-19
Application of discrete Ricci curvature in pruning randomly wired neural networks: A case study with chest x-ray classification of COVID-19
Pavithra Elumalai
Sudharsan Vijayaraghavan
Madhumita Mondal
Areejit Samal
132
0
0
30 Aug 2025
AI Compute Architecture and Evolution Trends
AI Compute Architecture and Evolution Trends
Bor-Sung Liang
206
1
0
29 Aug 2025
Tackling Federated Unlearning as a Parameter Estimation Problem
Tackling Federated Unlearning as a Parameter Estimation Problem
Antonio Balordi
Lorenzo Manini
Fabio Stella
Alessio Merlo
FedMLMU
303
0
0
26 Aug 2025
The Lifecycle Principle: Stabilizing Dynamic Neural Networks with State Memory
The Lifecycle Principle: Stabilizing Dynamic Neural Networks with State Memory
Zichuan Yang
134
0
0
24 Aug 2025
FedUP: Efficient Pruning-based Federated Unlearning for Model Poisoning Attacks
FedUP: Efficient Pruning-based Federated Unlearning for Model Poisoning Attacks
Nicolò Romandini
Cristian Borcea
R. Montanari
Luca Foschini
AAMLMU
250
1
0
19 Aug 2025
Neuro-inspired Ensemble-to-Ensemble Communication Primitives for Sparse and Efficient ANNs
Neuro-inspired Ensemble-to-Ensemble Communication Primitives for Sparse and Efficient ANNs
Orestis Konstantaropoulos
S. Smirnakis
M. Papadopouli
229
0
0
19 Aug 2025
Z-Pruner: Post-Training Pruning of Large Language Models for Efficiency without Retraining
Z-Pruner: Post-Training Pruning of Large Language Models for Efficiency without Retraining
Samiul Basir Bhuiyan
Md. Sazzad Hossain Adib
Mohammed Aman Bhuiyan
Muhammad Rafsan Kabir
Moshiur Farazi
Shafin Rahman
Nabeel Mohammed
277
1
0
18 Aug 2025
Reinitializing weights vs units for maintaining plasticity in neural networks
Reinitializing weights vs units for maintaining plasticity in neural networks
J. F. Hernandez-Garcia
Shibhansh Dohare
Jun Luo
R. Sutton
CLL
311
1
0
31 Jul 2025
On the Interaction of Compressibility and Adversarial Robustness
On the Interaction of Compressibility and Adversarial Robustness
Melih Barsbey
Antônio H. Ribeiro
Umut Simsekli
Tolga Birdal
AAML
260
2
0
23 Jul 2025
CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage
CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage
Na Li
Yansong Gao
Hongsheng Hu
Boyu Kuang
Anmin Fu
251
0
0
22 Jul 2025
Interpretability-Aware Pruning for Efficient Medical Image Analysis
Interpretability-Aware Pruning for Efficient Medical Image Analysis
Nikita Malik
Pratinav Seth
Neeraj Kumar Singh
Chintan Chitroda
Vinay Kumar Sankarapu
AAMLFAttMedIm
218
0
0
11 Jul 2025
IPPRO: Importance-based Pruning with PRojective Offset for Magnitude-indifferent Structural Pruning
IPPRO: Importance-based Pruning with PRojective Offset for Magnitude-indifferent Structural Pruning
Jaeheun Jung
Jaehyuk Lee
Yeajin Lee
Donghun Lee
236
0
0
10 Jul 2025
Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using Sparsity
Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using Sparsity
Samin Yeasar Arnob
Scott Fujimoto
Doina Precup
OffRL
286
0
0
20 Jun 2025
Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection
Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection
Yeshwanth Venkatesha
Souvik Kundu
Priyadarshini Panda
207
1
0
31 May 2025
M-Wanda: Improving One-Shot Pruning for Multilingual LLMs
M-Wanda: Improving One-Shot Pruning for Multilingual LLMs
Rochelle Choenni
Ivan Titov
252
2
0
27 May 2025
$μ$-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts
μμμ-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts
T. Koike-Akino
Jing Liu
Ye Wang
MoE
270
2
0
24 May 2025
Balanced and Elastic End-to-end Training of Dynamic LLMs
Balanced and Elastic End-to-end Training of Dynamic LLMs
Mohamed Wahib
Muhammed Abdullah Soyturk
Didem Unat
MoE
379
1
0
20 May 2025
Automatic Complementary Separation Pruning Toward Lightweight CNNs
Automatic Complementary Separation Pruning Toward Lightweight CNNs
David Levin
Gonen Singer
261
0
0
19 May 2025
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting
Chen-Yu Liu
Kuan-Cheng Chen
Yi-Chien Chen
Samuel Yen-Chi Chen
Wei-Hao Huang
Wei-Jia Huang
Yen-Jui Chang
383
7
0
14 May 2025
Online Learning of Neural Networks
Online Learning of Neural Networks
Amit Daniely
Idan Mehalel
Elchanan Mossel
MLT
406
6
0
14 May 2025
Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing
Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing
Kuan-Cheng Chen
Chen-Yu Liu
Yu Shang
Felix Burt
Kin K Leung
303
5
0
13 May 2025
ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks
ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks
Wenhao Hu
Paul Henderson
José Cano
476
2
0
12 May 2025
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
Qingyuan Wang
Guoxin Wang
B. Cardiff
Deepu John
277
0
0
07 May 2025
Knowledge Distillation for Speech Denoising by Latent Representation Alignment with Cosine Distance
Knowledge Distillation for Speech Denoising by Latent Representation Alignment with Cosine Distance
Diep Luong
Mikko Heikkinen
Konstantinos Drossos
Maria Sandsten
392
0
0
06 May 2025
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
Zheng Lin
Yuxin Zhang
Zhe Chen
Zihan Fang
Xianhao Chen
Praneeth Vepakomma
Wei Ni
Jun Luo
Yue Gao
MoE
439
24
0
05 May 2025
End-to-end fully-binarized network design: from Generic Learned Thermometer to Block Pruning
End-to-end fully-binarized network design: from Generic Learned Thermometer to Block PruningInternational Conference on Artificial Intelligence Circuits and Systems (AICAS), 2025
Thien Nguyen
William Guicquero
MQ
317
0
0
05 May 2025
Towards Faster and More Compact Foundation Models for Molecular Property Prediction
Towards Faster and More Compact Foundation Models for Molecular Property Prediction
Yasir Ghunaim
Andrés Villa
Gergo Ignacz
Gyorgy Szekely
Motasem Alfarra
Bernard Ghanem
AI4CE
385
0
0
28 Apr 2025
Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs
Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAsInternational Conference on Field-Programmable Technology (ICFPT), 2024
Muhammad Sabih
Abrarul Karim
Jakob Wittmann
Frank Hannig
J. Teich
268
10
0
28 Apr 2025
Precision Neural Network Quantization via Learnable Adaptive Modules
Precision Neural Network Quantization via Learnable Adaptive Modules
Wenqiang Zhou
Zhendong Yu
Xianglong Liu
Jiaming Yang
Rong Xiao
Tao Wang
Chenwei Tang
Jiancheng Lv
MQ
232
1
0
24 Apr 2025
Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable Hardware
Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable HardwareSymposium on Software Performance (SP), 2025
Hans Rosenberger
Rodrigo Fischer
Johanna S. Fröhlich
Ali Bereyhi
R. Muller
286
1
0
24 Apr 2025
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