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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 / 2,186 papers shown
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron
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ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
Ruchika Chavhan
Da Li
Timothy M. Hospedales
261
34
0
29 May 2024
EdgeSight: Enabling Modeless and Cost-Efficient Inference at the Edge
EdgeSight: Enabling Modeless and Cost-Efficient Inference at the Edge
ChonLam Lao
Jiaqi Gao
Ganesh Ananthanarayanan
Aditya Akella
Minlan Yu
VLM
214
0
0
29 May 2024
Survival of the Fittest Representation: A Case Study with Modular
  Addition
Survival of the Fittest Representation: A Case Study with Modular Addition
Xiaoman Delores Ding
Zifan Carl Guo
Eric J. Michaud
Ziming Liu
Max Tegmark
371
5
0
27 May 2024
Scorch: A Library for Sparse Deep Learning
Scorch: A Library for Sparse Deep Learning
Bobby Yan
Alexander J. Root
Trevor Gale
David Broman
Fredrik Kjolstad
229
2
0
27 May 2024
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse
  Mixture-of-Experts
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts
Mohammed Nowaz Rabbani Chowdhury
Meng Wang
Kaoutar El Maghraoui
Naigang Wang
Pin-Yu Chen
Christopher Carothers
MoE
397
10
0
26 May 2024
Pruning for Robust Concept Erasing in Diffusion Models
Pruning for Robust Concept Erasing in Diffusion Models
Tianyun Yang
Juan Cao
Chang Xu
336
24
0
26 May 2024
Subspace Node Pruning
Subspace Node Pruning
Joshua Offergeld
Marcel van Gerven
Nasir Ahmad
358
0
0
26 May 2024
Sparse maximal update parameterization: A holistic approach to sparse
  training dynamics
Sparse maximal update parameterization: A holistic approach to sparse training dynamics
Nolan Dey
Shane Bergsma
Joel Hestness
254
8
0
24 May 2024
Super Tiny Language Models
Super Tiny Language Models
Dylan Hillier
Leon Guertler
Cheston Tan
Palaash Agrawal
Ruirui Chen
Bobby Cheng
289
9
0
23 May 2024
How Do Transformers "Do" Physics? Investigating the Simple Harmonic
  Oscillator
How Do Transformers "Do" Physics? Investigating the Simple Harmonic Oscillator
Subhash Kantamneni
Ziming Liu
Max Tegmark
313
2
0
23 May 2024
Progress Measures for Grokking on Real-world Tasks
Progress Measures for Grokking on Real-world Tasks
Satvik Golechha
303
4
0
21 May 2024
Combining Relevance and Magnitude for Resource-Aware DNN Pruning
Combining Relevance and Magnitude for Resource-Aware DNN Pruning
C. Chiasserini
F. Malandrino
Nuria Molner
Zhiqiang Zhao
235
0
0
21 May 2024
Distill-then-prune: An Efficient Compression Framework for Real-time
  Stereo Matching Network on Edge Devices
Distill-then-prune: An Efficient Compression Framework for Real-time Stereo Matching Network on Edge Devices
Baiyu Pan
Jichao Jiao
Jianxin Pang
Jun Cheng
183
7
0
20 May 2024
Knowledge Graph Pruning for Recommendation
Knowledge Graph Pruning for Recommendation
Fake Lin
Xi Zhu
Ziwei Zhao
Deqiang Huang
Yu Yu
Xueying Li
Zhi Zheng
Tong Xu
Enhong Chen
227
3
0
19 May 2024
Surgical Feature-Space Decomposition of LLMs: Why, When and How?
Surgical Feature-Space Decomposition of LLMs: Why, When and How?Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Arnav Chavan
Nahush Lele
Deepak Gupta
255
3
0
17 May 2024
A Systematic Evaluation of Large Language Models for Natural Language
  Generation Tasks
A Systematic Evaluation of Large Language Models for Natural Language Generation TasksChina National Conference on Chinese Computational Linguistics (CCL), 2024
Xuanfan Ni
Piji Li
ELMLRM
207
14
0
16 May 2024
SSFL: Discovering Sparse Unified Subnetworks at Initialization for Efficient Federated Learning
SSFL: Discovering Sparse Unified Subnetworks at Initialization for Efficient Federated Learning
Riyasat Ohib
Bishal Thapaliya
Gintare Karolina Dziugaite
Jingyu Liu
Vince D. Calhoun
Sergey Plis
FedML
217
1
0
15 May 2024
Neural Network Compression for Reinforcement Learning Tasks
Neural Network Compression for Reinforcement Learning TasksScientific Reports (Sci Rep), 2024
Dmitry A. Ivanov
D. Larionov
Oleg V. Maslennikov
V. Voevodin
OffRLAI4CE
258
9
0
13 May 2024
Train Faster, Perform Better: Modular Adaptive Training in
  Over-Parameterized Models
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
Yubin Shi
Yixuan Chen
Mingzhi Dong
Xiaochen Yang
Dongsheng Li
...
Yingying Zhao
Fan Yang
Tun Lu
Ning Gu
L. Shang
MoMe
227
4
0
13 May 2024
Differentiable Model Scaling using Differentiable Topk
Differentiable Model Scaling using Differentiable Topk
Kai Liu
Ruohui Wang
Jianfei Gao
Kai Chen
MedImVLM
271
4
0
12 May 2024
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of
  Deep Neural Networks
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Xue Geng
Zhe Wang
Chunyun Chen
Qing Xu
Kaixin Xu
...
Zhenghua Chen
M. Aly
Jie Lin
Ruibing Jin
Xiaoli Li
315
8
0
09 May 2024
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity
  Allocation with Global Constraint in Minutes
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in MinutesAAAI Conference on Artificial Intelligence (AAAI), 2024
Yazhe Niu
Yang Yong
Zining Wang
Jinyang Guo
Xiuying Wei
Yuqing Ma
Xianglong Liu
194
7
0
09 May 2024
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference
  Cost
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference CostInternational Conference on Learning Representations (ICLR), 2024
Yuan Gao
Weizhong Zhang
Tong Lu
Lin Ma
Jin-Gang Yu
Gui-Song Xia
Jiayi Ma
176
1
0
09 May 2024
Sparse-PGD: A Unified Framework for Sparse Adversarial Perturbations Generation
Sparse-PGD: A Unified Framework for Sparse Adversarial Perturbations GenerationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Xuyang Zhong
Yixiao Huang
AAML
406
0
0
08 May 2024
Acceleration Algorithms in GNNs: A Survey
Acceleration Algorithms in GNNs: A Survey
Lu Ma
Zeang Sheng
Miao Hu
Xin Gao
Zhezheng Hao
Ling Yang
Wentao Zhang
Tengjiao Wang
GNN
297
0
0
07 May 2024
TED: Accelerate Model Training by Internal Generalization
TED: Accelerate Model Training by Internal GeneralizationEuropean Conference on Artificial Intelligence (ECAI), 2024
Jinying Xiao
Ping Li
Jie Nie
VLM
350
1
0
06 May 2024
Iterative Filter Pruning for Concatenation-based CNN Architectures
Iterative Filter Pruning for Concatenation-based CNN ArchitecturesIEEE International Joint Conference on Neural Network (IJCNN), 2024
Svetlana Pavlitska
Oliver Bagge
Federico Nicolás Peccia
Toghrul Mammadov
J. Marius Zöllner
VLM3DPC
168
7
0
04 May 2024
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuningInternational Conference on Machine Learning (ICML), 2024
Jing Xu
Jingzhao Zhang
225
11
0
04 May 2024
Position: Why We Must Rethink Empirical Research in Machine Learning
Position: Why We Must Rethink Empirical Research in Machine LearningInternational Conference on Machine Learning (ICML), 2024
Moritz Herrmann
F. J. D. Lange
Katharina Eggensperger
Giuseppe Casalicchio
Marcel Wever
Matthias Feurer
David Rügamer
Eyke Hüllermeier
A. Boulesteix
B. Bischl
253
23
0
03 May 2024
Multi-level projection with exponential parallel speedup; Application to
  sparse auto-encoders neural networks
Multi-level projection with exponential parallel speedup; Application to sparse auto-encoders neural networks
Guillaume Perez
Michel Barlaud
228
0
0
03 May 2024
Early Transformers: A study on Efficient Training of Transformer Models
  through Early-Bird Lottery Tickets
Early Transformers: A study on Efficient Training of Transformer Models through Early-Bird Lottery Tickets
Shravan Cheekati
100
0
0
02 May 2024
COPAL: Continual Pruning in Large Language Generative Models
COPAL: Continual Pruning in Large Language Generative ModelsInternational Conference on Machine Learning (ICML), 2024
Srikanth Malla
Joon Hee Choi
Chiho Choi
VLMCLL
193
6
0
02 May 2024
Efficient and Flexible Method for Reducing Moderate-size Deep Neural
  Networks with Condensation
Efficient and Flexible Method for Reducing Moderate-size Deep Neural Networks with Condensation
Jiahao Huo
Wentao Zhang
262
2
0
02 May 2024
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in
  Deep Generative Models for Molecular Design
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design
A. N. M. N. Abeer
Sanket Jantre
Nathan M. Urban
Byung-Jun Yoon
222
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30 Apr 2024
War Elephants: Rethinking Combat AI and Human Oversight
War Elephants: Rethinking Combat AI and Human Oversight
Philip G. Feldman
Aaron Dant
Harry Dreany
75
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0
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Hidden Synergy: $L_1$ Weight Normalization and 1-Path-Norm
  Regularization
Hidden Synergy: L1L_1L1​ Weight Normalization and 1-Path-Norm Regularization
Aditya Biswas
259
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Learning a Sparse Neural Network using IHT
Learning a Sparse Neural Network using IHT
S. Damadi
Soroush Zolfaghari
Mahdi Rezaie
Jinglai Shen
199
2
0
29 Apr 2024
Mechanistic Interpretability for AI Safety -- A Review
Mechanistic Interpretability for AI Safety -- A Review
Leonard Bereska
E. Gavves
AI4CE
335
294
0
22 Apr 2024
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at
  Initialization
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization
Bailey J. Eccles
Leon Wong
Blesson Varghese
247
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0
22 Apr 2024
Energy-Efficient Uncertainty-Aware Biomass Composition Prediction at the
  Edge
Energy-Efficient Uncertainty-Aware Biomass Composition Prediction at the Edge
Muhammad Zawish
Paul Albert
Flavio Esposito
Steven Davy
Lizy Abraham
185
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Neuron Specialization: Leveraging intrinsic task modularity for
  multilingual machine translation
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Shaomu Tan
Di Wu
Christof Monz
MoMe
303
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You do not have to train Graph Neural Networks at all on text-attributed
  graphs
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Kaiwen Dong
Zhichun Guo
Nitesh Chawla
316
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0
17 Apr 2024
Incremental Residual Concept Bottleneck Models
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Chenming Shang
Shiji Zhou
Hengyuan Zhang
Xinzhe Ni
Yujiu Yang
Yuwang Wang
302
35
0
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Structured Model Pruning for Efficient Inference in Computational
  Pathology
Structured Model Pruning for Efficient Inference in Computational Pathology
Mohammed Adnan
Qinle Ba
Nazim Shaikh
Shivam Kalra
Satarupa Mukherjee
A. Lorsakul
MedIm
236
2
0
12 Apr 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Rishabh Ranjan
Saurabh Garg
Mrigank Raman
Carlos Guestrin
Zachary Chase Lipton
232
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Transferable and Principled Efficiency for Open-Vocabulary Segmentation
Transferable and Principled Efficiency for Open-Vocabulary Segmentation
Jingxuan Xu
Wuyang Chen
Yao-Min Zhao
Yunchao Wei
VLM
261
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0
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Simultaneous linear connectivity of neural networks modulo permutation
Simultaneous linear connectivity of neural networks modulo permutation
Ekansh Sharma
Devin Kwok
Tom Denton
Daniel M. Roy
David Rolnick
Gintare Karolina Dziugaite
449
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Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid
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Emre Ozfatura
Kerem Ozfatura
Alptekin Kupcu
Deniz Gunduz
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194
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MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
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Elia Cunegatti
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Lightweight Deep Learning for Resource-Constrained Environments: A
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Hongxia Xie
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