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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
v1v2v3v4v5 (latest)

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

9 March 2018
Jonathan Frankle
Michael Carbin
ArXiv (abs)PDFHTML

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

50 / 2,187 papers shown
Robust Neural Pruning with Gradient Sampling Optimization for Residual
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Robust Neural Pruning with Gradient Sampling Optimization for Residual Neural Networks
Juyoung Yun
278
1
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Fairness-Aware Structured Pruning in Transformers
Fairness-Aware Structured Pruning in Transformers
A. Zayed
Gonçalo Mordido
Samira Shabanian
Ioana Baldini
Sarath Chandar
236
30
0
24 Dec 2023
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision
  Quantization
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization
K. Balaskas
Andreas Karatzas
Christos Sad
K. Siozios
Iraklis Anagnostopoulos
Georgios Zervakis
Jörg Henkel
MQ
200
23
0
23 Dec 2023
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
Max Zimmer
Megi Andoni
Christoph Spiegel
Sebastian Pokutta
VLM
526
15
0
23 Dec 2023
The Truth is in There: Improving Reasoning in Language Models with
  Layer-Selective Rank Reduction
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
Pratyusha Sharma
Jordan T. Ash
Dipendra Kumar Misra
LRM
240
112
0
21 Dec 2023
Interactive Visualization of Time-Varying Flow Fields Using Particle
  Tracing Neural Networks
Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks
Mengjiao Han
Jixian Li
Sudhanshu Sane
Shubham Gupta
Bei Wang
Steve Petruzza
C. R. Johnson
AI4CE
241
4
0
20 Dec 2023
Deep Learning on Object-centric 3D Neural Fields
Deep Learning on Object-centric 3D Neural Fields
Pierluigi Zama Ramirez
Luca de Luigi
Daniele Sirocchi
Adriano Cardace
Riccardo Spezialetti
Francesco Ballerini
Samuele Salti
Luigi Di Stefano
369
6
0
20 Dec 2023
DSFormer: Effective Compression of Text-Transformers by Dense-Sparse
  Weight Factorization
DSFormer: Effective Compression of Text-Transformers by Dense-Sparse Weight Factorization
Rahul Chand
Yashoteja Prabhu
Pratyush Kumar
188
5
0
20 Dec 2023
Model-Based Control with Sparse Neural Dynamics
Model-Based Control with Sparse Neural Dynamics
Ziang Liu
Genggeng Zhou
Jeff He
Tobia Marcucci
Fei-Fei Li
Jiajun Wu
Yunzhu Li
AI4CE
273
21
0
20 Dec 2023
SCoTTi: Save Computation at Training Time with an adaptive framework
SCoTTi: Save Computation at Training Time with an adaptive framework
Ziyu Li
Enzo Tartaglione
Van-Tam Nguyen
221
4
0
19 Dec 2023
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models:
  A Critical Review and Assessment
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment
Lingling Xu
Haoran Xie
S. J. Qin
Xiaohui Tao
F. Wang
300
272
0
19 Dec 2023
Continual Learning: Forget-free Winning Subnetworks for Video
  Representations
Continual Learning: Forget-free Winning Subnetworks for Video Representations
Haeyong Kang
Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
CLL
531
5
0
19 Dec 2023
Gradient-based Parameter Selection for Efficient Fine-Tuning
Gradient-based Parameter Selection for Efficient Fine-TuningComputer Vision and Pattern Recognition (CVPR), 2023
Zhi Zhang
Qizhe Zhang
Zijun Gao
Renrui Zhang
Ekaterina Shutova
Shiji Zhou
Shanghang Zhang
361
42
0
15 Dec 2023
Fragility, Robustness and Antifragility in Deep Learning
Fragility, Robustness and Antifragility in Deep LearningArtificial Intelligence (AIJ), 2023
Chandresh Pravin
Ivan Martino
Giuseppe Nicosia
Varun Ojha
273
5
0
15 Dec 2023
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active
  Learning
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Wei Tan
Lan Du
Wray Buntine
221
11
0
15 Dec 2023
OTOv3: Automatic Architecture-Agnostic Neural Network Training and
  Compression from Structured Pruning to Erasing Operators
OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators
Tianyi Chen
Tianyu Ding
Zhihui Zhu
Zeyu Chen
HsiangTao Wu
Ilya Zharkov
Luming Liang
195
6
0
15 Dec 2023
Weight subcloning: direct initialization of transformers using larger
  pretrained ones
Weight subcloning: direct initialization of transformers using larger pretrained ones
Mohammad Samragh
Mehrdad Farajtabar
Sachin Mehta
Raviteja Vemulapalli
Fartash Faghri
Devang Naik
Oncel Tuzel
Mohammad Rastegari
312
32
0
14 Dec 2023
Language Modeling on a SpiNNaker 2 Neuromorphic Chip
Language Modeling on a SpiNNaker 2 Neuromorphic ChipInternational Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2023
Khaleelulla Khan Nazeer
Mark Schöne
Rishav Mukherji
Bernhard Vogginger
Christian Mayr
David Kappel
Anand Subramoney
313
14
0
14 Dec 2023
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework
  on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous
  Modalities
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous Modalities
Runwei Guan
Haocheng Zhao
Shanliang Yao
Ka Lok Man
Xiaohui Zhu
...
Yong Yue
Jeremy S. Smith
Eng Gee Lim
Weiping Ding
Yutao Yue
214
8
0
14 Dec 2023
Learning a Low-Rank Feature Representation: Achieving Better Trade-Off
  between Stability and Plasticity in Continual Learning
Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Zhenrong Liu
Yang Li
Yi Gong
Yik-Chung Wu
CLL
163
2
0
14 Dec 2023
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural
  Networks Training
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks TrainingInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023
Hongwu Peng
Xi Xie
Kaustubh Shivdikar
Md Amit Hasan
Jiahui Zhao
Shaoyi Huang
Omer Khan
David Kaeli
Caiwen Ding
438
42
0
14 Dec 2023
Cooperative Learning for Cost-Adaptive Inference
Cooperative Learning for Cost-Adaptive Inference
Xingli Fang
Richard M. Bradford
Jung-Eun Kim
306
1
0
13 Dec 2023
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven
  Initialization
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven InitializationEuropean Conference on Computer Vision (ECCV), 2023
Jiafeng Mao
Xueting Wang
Kiyoharu Aizawa
DiffM
261
11
0
13 Dec 2023
MaxQ: Multi-Axis Query for N:M Sparsity Network
MaxQ: Multi-Axis Query for N:M Sparsity NetworkComputer Vision and Pattern Recognition (CVPR), 2023
Jingyang Xiang
Siqi Li
Junhao Chen
Zhuangzhi Chen
Tianxin Huang
Linpeng Peng
Yong-Jin Liu
251
0
0
12 Dec 2023
ELSA: Partial Weight Freezing for Overhead-Free Sparse Network
  Deployment
ELSA: Partial Weight Freezing for Overhead-Free Sparse Network Deployment
Paniz Halvachi
Alexandra Peste
Dan Alistarh
Christoph H. Lampert
178
0
0
11 Dec 2023
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets
Subhajit Dutta Chowdhury
Zhiyu Ni
Qingyuan Peng
Souvik Kundu
Pierluigi Nuzzo
221
3
0
11 Dec 2023
Sparse Multitask Learning for Efficient Neural Representation of Motor
  Imagery and Execution
Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution
Hye-Bin Shin
Kang Yin
Seong-Whan Lee
183
0
0
10 Dec 2023
Detecting Toxic Flow
Detecting Toxic Flow
Álvaro Cartea
Gerardo Duran-Martin
Leandro Sánchez-Betancourt
241
9
0
10 Dec 2023
Deeper Understanding of Black-box Predictions via Generalized Influence
  Functions
Deeper Understanding of Black-box Predictions via Generalized Influence Functions
Hyeonsu Lyu
Jonggyu Jang
Sehyun Ryu
H. Yang
TDIAI4CE
301
7
0
09 Dec 2023
Exploring Sparsity in Graph Transformers
Exploring Sparsity in Graph TransformersNeural Networks (Neural Netw.), 2023
Chuang Liu
Yibing Zhan
Xueqi Ma
Liang Ding
Dapeng Tao
Hongzhi Zhang
Wenbin Hu
Bo Du
315
11
0
09 Dec 2023
SlimSAM: 0.1% Data Makes Segment Anything Slim
SlimSAM: 0.1% Data Makes Segment Anything SlimNeural Information Processing Systems (NeurIPS), 2023
Zigeng Chen
Gongfan Fang
Xinyin Ma
Xinchao Wang
365
21
0
08 Dec 2023
Towards On-device Learning on the Edge: Ways to Select Neurons to Update
  under a Budget Constraint
Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint
Ael Quélennec
Enzo Tartaglione
Pavlo Mozharovskyi
Van-Tam Nguyen
248
7
0
08 Dec 2023
Accelerating Convolutional Neural Network Pruning via Spatial Aura
  Entropy
Accelerating Convolutional Neural Network Pruning via Spatial Aura EntropyInternational Conference on Information Visualisation (IV), 2023
Bogdan Musat
Razvan Andonie
166
0
0
08 Dec 2023
Pruning Convolutional Filters via Reinforcement Learning with Entropy
  Minimization
Pruning Convolutional Filters via Reinforcement Learning with Entropy MinimizationInternational Conference on Artificial Intelligence and Soft Computing (ICAISC), 2023
Bogdan Musat
Razvan Andonie
170
0
0
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The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph
  Structure
The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph Structure
Anton Tsitsulin
Bryan Perozzi
193
6
0
08 Dec 2023
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
Sharath Girish
Kamal Gupta
Abhinav Shrivastava
3DGS
332
169
0
07 Dec 2023
A Masked Pruning Approach for Dimensionality Reduction in
  Communication-Efficient Federated Learning Systems
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems
Tamir L. S. Gez
Kobi Cohen
199
3
0
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Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets
Multicoated and Folded Graph Neural Networks with Strong Lottery TicketsLOG IN (LOG IN), 2023
Jiale Yan
Hiroaki Ito
Ángel López García-Arias
Yasuyuki Okoshi
Hikari Otsuka
Kazushi Kawamura
Thiem Van Chu
Masato Motomura
291
6
0
06 Dec 2023
Bootstrap Your Own Variance
Bootstrap Your Own Variance
Polina Turishcheva
Jason Ramapuram
Sinead Williamson
Dan Busbridge
Eeshan Gunesh Dhekane
Russ Webb
UQCV
222
1
0
06 Dec 2023
Generating Interpretable Networks using Hypernetworks
Generating Interpretable Networks using Hypernetworks
Isaac Liao
Ziming Liu
Max Tegmark
240
2
0
05 Dec 2023
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search
  with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core MappingInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023
Zihan Liu
Wentao Ni
Jingwen Leng
Yu Feng
Cong Guo
Quan Chen
Chao Li
Minyi Guo
Yuhao Zhu
184
24
0
04 Dec 2023
An End-to-End Network Pruning Pipeline with Sparsity Enforcement
An End-to-End Network Pruning Pipeline with Sparsity Enforcement
Evan Dogariu
87
0
0
04 Dec 2023
Transformers are uninterpretable with myopic methods: a case study with
  bounded Dyck grammars
Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammarsNeural Information Processing Systems (NeurIPS), 2023
Kaiyue Wen
Yuchen Li
Bing Liu
Andrej Risteski
287
27
0
03 Dec 2023
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model
  Perspective
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model PerspectiveAAAI Conference on Artificial Intelligence (AAAI), 2023
Can Jin
Tianjin Huang
Yihua Zhang
Mykola Pechenizkiy
Sijia Liu
Shiwei Liu
Tianlong Chen
VLM
457
30
0
03 Dec 2023
MoEC: Mixture of Experts Implicit Neural Compression
MoEC: Mixture of Experts Implicit Neural Compression
Jianchen Zhao
Cheng-Ching Tseng
Ming Lu
Ruichuan An
Xiaobao Wei
He Sun
Shanghang Zhang
204
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Resource-constrained knowledge diffusion processes inspired by human
  peer learning
Resource-constrained knowledge diffusion processes inspired by human peer learningEuropean Conference on Artificial Intelligence (ECAI), 2023
Ehsan Beikihassan
Amy K. Hoover
Ioannis Koutis
Alipanah Parviz
Niloofar Aghaieabiane
239
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Towards Redundancy-Free Sub-networks in Continual Learning
Towards Redundancy-Free Sub-networks in Continual Learning
Cheng Chen
Jingkuan Song
LianLi Gao
Hengtao Shen
179
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Compression of end-to-end non-autoregressive image-to-speech system for
  low-resourced devices
Compression of end-to-end non-autoregressive image-to-speech system for low-resourced devices
Gokul Srinivasagan
Michael Deisher
Munir Georges
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215
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Towards Higher Ranks via Adversarial Weight Pruning
Towards Higher Ranks via Adversarial Weight PruningNeural Information Processing Systems (NeurIPS), 2023
Yuchuan Tian
Hanting Chen
Tianyu Guo
Chao Xu
Yunhe Wang
231
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Federated Fine-Tuning of Foundation Models via Probabilistic Masking
Federated Fine-Tuning of Foundation Models via Probabilistic Masking
Vasileios Tsouvalas
Yuki M. Asano
Aaqib Saeed
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231
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