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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

9 March 2018

Jonathan Frankle

ArXiv (abs)PDF HTML

Papers citing "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"

50 / 2,188 papers shown

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

95

0

0

30 Aug 2025

Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance

Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance

371

5

0

29 Aug 2025

Dual-Model Weight Selection and Self-Knowledge Distillation for Medical Image Classification

Dual-Model Weight Selection and Self-Knowledge Distillation for Medical Image Classification

112

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0

28 Aug 2025

Module-Aware Parameter-Efficient Machine Unlearning on Transformers

Module-Aware Parameter-Efficient Machine Unlearning on Transformers

132

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0

24 Aug 2025

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation

Salman Avestimehr

161

0

0

22 Aug 2025

An Empirical Study of Knowledge Distillation for Code Understanding Tasks

An Empirical Study of Knowledge Distillation for Code Understanding Tasks

137

1

0

21 Aug 2025

WISCA: A Lightweight Model Transition Method to Improve LLM Training via Weight Scaling

WISCA: A Lightweight Model Transition Method to Improve LLM Training via Weight Scaling

...

113

3

0

21 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

184

0

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

169

0

0

19 Aug 2025

One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression

One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression

Mikołaj Janusz

Kamil Adamczewski

129

2

0

19 Aug 2025

DPad: Efficient Diffusion Language Models with Suffix Dropout

DPad: Efficient Diffusion Language Models with Suffix Dropout

125

16

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19 Aug 2025

ONG: One-Shot NMF-based Gradient Masking for Efficient Model Sparsification

ONG: One-Shot NMF-based Gradient Masking for Efficient Model Sparsification

93

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0

18 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

Nabeel Mohammed

180

1

0

18 Aug 2025

Computational Economics in Large Language Models: Exploring Model Behavior and Incentive Design under Resource Constraints

Computational Economics in Large Language Models: Exploring Model Behavior and Incentive Design under Resource Constraints

Ananya Chakraborty

163

1

0

14 Aug 2025

Quantization vs Pruning: Insights from the Strong Lottery Ticket Hypothesis

Quantization vs Pruning: Insights from the Strong Lottery Ticket Hypothesis

Emanuele Natale

105

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0

14 Aug 2025

Synaptic Pruning: A Biological Inspiration for Deep Learning Regularization

Synaptic Pruning: A Biological Inspiration for Deep Learning Regularization

Zoltán Sarnyai

126

0

0

12 Aug 2025

Towards Scalable Lottery Ticket Networks using Genetic Algorithms

Towards Scalable Lottery Ticket Networks using Genetic Algorithms

Julian Schonberger

Maximilian Zorn

Jonas Nüßlein

Philipp Altmann

90

0

0

12 Aug 2025

COMponent-Aware Pruning for Accelerated Control Tasks in Latent Space Models

COMponent-Aware Pruning for Accelerated Control Tasks in Latent Space Models

Ganesh Sundaram

91

0

0

11 Aug 2025

Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning

Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning

Aleksandar Todorov

Juan Cardenas-Cartagena

Rafael F. Cunha

Matthia Sabatelli

140

1

0

09 Aug 2025

pFedDSH: Enabling Knowledge Transfer in Personalized Federated Learning through Data-free Sub-Hypernetwork

pFedDSH: Enabling Knowledge Transfer in Personalized Federated Learning through Data-free Sub-Hypernetwork

159

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0

07 Aug 2025

Task complexity shapes internal representations and robustness in neural networks

Task complexity shapes internal representations and robustness in neural networks

Robert Jankowski

Marián Boguná

161

1

0

07 Aug 2025

Optimal Brain Connection: Towards Efficient Structural Pruning

Optimal Brain Connection: Towards Efficient Structural Pruning

130

1

0

07 Aug 2025

FAIR-Pruner: Leveraging Tolerance of Difference for Flexible Automatic Layer-Wise Neural Network Pruning

FAIR-Pruner: Leveraging Tolerance of Difference for Flexible Automatic Layer-Wise Neural Network Pruning

Mostafa Hussien

Osama Abdelrahman

188

0

0

04 Aug 2025

Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models

Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models

Raj Abhijit Dandekar

161

2

0

02 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

278

0

0

31 Jul 2025

Beyond topography: Topographic regularization improves robustness and reshapes representations in convolutional neural networks

Beyond topography: Topographic regularization improves robustness and reshapes representations in convolutional neural networks

109

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0

31 Jul 2025

Forgetting of task-specific knowledge in model merging-based continual learning

Forgetting of task-specific knowledge in model merging-based continual learning

Gido M. van de Ven

Tinne Tuytelaars

CLL FedML MoMe KELM VLM

185

0

0

31 Jul 2025

Dimension reduction with structure-aware quantum circuits for hybrid machine learning

Dimension reduction with structure-aware quantum circuits for hybrid machine learning

94

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0

31 Jul 2025

Pulling Back the Curtain on ReLU Networks

Pulling Back the Curtain on ReLU Networks

Maciej Satkiewicz

195

0

0

30 Jul 2025

FGFP: A Fractional Gaussian Filter and Pruning for Deep Neural Networks Compression

FGFP: A Fractional Gaussian Filter and Pruning for Deep Neural Networks Compression

92

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0

30 Jul 2025

LinDeps: A Fine-tuning Free Post-Pruning Method to Remove Layer-Wise Linear Dependencies with Guaranteed Performance Preservation

LinDeps: A Fine-tuning Free Post-Pruning Method to Remove Layer-Wise Linear Dependencies with Guaranteed Performance Preservation

Adrien Deliège

Marc Van Droogenbroeck

174

0

0

29 Jul 2025

Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study

Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study

184

0

0

28 Jul 2025

Universal Neurons in GPT-2: Emergence, Persistence, and Functional Impact

Universal Neurons in GPT-2: Emergence, Persistence, and Functional Impact

Cheng-Ting Chou

71

0

0

28 Jul 2025

The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models

The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models

252

1

0

24 Jul 2025

Reinforcement Learning Fine-Tunes a Sparse Subnetwork in Large Language Models

Reinforcement Learning Fine-Tunes a Sparse Subnetwork in Large Language Models

Andrii Balashov

236

0

0

23 Jul 2025

Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility

Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility

Stefanos Zafeiriou

297

0

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23 Jul 2025

Optimization of DNN-based HSI Segmentation FPGA-based SoC for ADS: A Practical Approach

Optimization of DNN-based HSI Segmentation FPGA-based SoC for ADS: A Practical ApproachACM Transactions on Embedded Computing Systems (ACM TECS), 2025

Jon Gutiérrez-Zaballa

Koldo Basterretxea

Javier Echanobe

96

1

0

22 Jul 2025

Understanding Generalization, Robustness, and Interpretability in Low-Capacity Neural Networks

Understanding Generalization, Robustness, and Interpretability in Low-Capacity Neural Networks

110

0

0

22 Jul 2025

Uncovering Critical Features for Deepfake Detection through the Lottery Ticket Hypothesis

Uncovering Critical Features for Deepfake Detection through the Lottery Ticket Hypothesis

Md. Ismail Hossain

Thanh Thi Nguyen

132

2

0

21 Jul 2025

Pruning Increases Orderedness in Recurrent Computation

Pruning Increases Orderedness in Recurrent Computation

101

0

0

19 Jul 2025

Flows and Diffusions on the Neural Manifold

Flows and Diffusions on the Neural Manifold

252

2

0

14 Jul 2025

Interpretability-Aware Pruning for Efficient Medical Image Analysis

Interpretability-Aware Pruning for Efficient Medical Image Analysis

Neeraj Kumar Singh

Chintan Chitroda

Vinay Kumar Sankarapu

AAML FAtt MedIm

171

0

0

11 Jul 2025

Towards Robust Surrogate Models: Benchmarking Machine Learning Approaches to Expediting Phase Field Simulations of Brittle Fracture

Towards Robust Surrogate Models: Benchmarking Machine Learning Approaches to Expediting Phase Field Simulations of Brittle Fracture

256

1

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09 Jul 2025

LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization

LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization

262

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06 Jul 2025

Accelerate 3D Object Detection Models via Zero-Shot Attention Key Pruning

Accelerate 3D Object Detection Models via Zero-Shot Attention Key Pruning

383

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01 Jul 2025

General Compression Framework for Efficient Transformer Object Tracking

General Compression Framework for Efficient Transformer Object Tracking

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311

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01 Jul 2025

XTransfer: Modality-Agnostic Few-Shot Model Transfer for Human Sensing at the Edge

XTransfer: Modality-Agnostic Few-Shot Model Transfer for Human Sensing at the Edge

205

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28 Jun 2025

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding HelpsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025

Polydoros Giannouris

220

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20 Jun 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

230

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20 Jun 2025

Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU

Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU

267

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