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The Lottery Ticket Hypothesis for Object Recognition
v1v2 (latest)

The Lottery Ticket Hypothesis for Object Recognition

8 December 2020
Sharath Girish
Shishira R. Maiya
Kamal Gupta
Hao Chen
L. Davis
Abhinav Shrivastava
ArXiv (abs)PDFHTML

Papers citing "The Lottery Ticket Hypothesis for Object Recognition"

33 / 33 papers shown
You Don't Need All Attentions: Distributed Dynamic Fine-Tuning for Foundation Models
You Don't Need All Attentions: Distributed Dynamic Fine-Tuning for Foundation Models
Shiwei Ding
Lan Zhang
Zhenlin Wang
Giuseppe Ateniese
Xiaoyong Yuan
259
0
0
16 Apr 2025
Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation
Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation
Wenhan Chang
Tianqing Zhu
Ping Xiong
Yufeng Wu
Faqian Guan
Wanlei Zhou
MU
405
4
0
31 Oct 2024
3D Point Cloud Network Pruning: When Some Weights Do not Matter
3D Point Cloud Network Pruning: When Some Weights Do not MatterBritish Machine Vision Conference (BMVC), 2024
Amrijit Biswas
M. Hossain
M. M. L. Elahi
A. Cheraghian
Fuad Rahman
Nabeel Mohammed
Shafin Rahman
3DPC
323
5
0
26 Aug 2024
Optimal Recurrent Network Topologies for Dynamical Systems
  Reconstruction
Optimal Recurrent Network Topologies for Dynamical Systems ReconstructionInternational Conference on Machine Learning (ICML), 2024
Christoph Jürgen Hemmer
Manuel Brenner
Florian Hess
Daniel Durstewitz
292
6
0
07 Jun 2024
A Survey of Lottery Ticket Hypothesis
A Survey of Lottery Ticket Hypothesis
Bohan Liu
Zijie Zhang
Peixiong He
Zhensen Wang
Yang Xiao
Ruimeng Ye
Yang Zhou
Wei-Shinn Ku
Bo Hui
UQCV
384
25
0
07 Mar 2024
Enhancing Scalability in Recommender Systems through Lottery Ticket
  Hypothesis and Knowledge Distillation-based Neural Network Pruning
Enhancing Scalability in Recommender Systems through Lottery Ticket Hypothesis and Knowledge Distillation-based Neural Network Pruning
R. Rajaram
Manoj Bharadhwaj
VS Vasan
N. Pervin
141
1
0
19 Jan 2024
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
Sharath Girish
Kamal Gupta
Abhinav Shrivastava
3DGS
419
197
0
07 Dec 2023
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural
  Representations
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural RepresentationsIEEE International Conference on Computer Vision (ICCV), 2023
Sharath Girish
Abhinav Shrivastava
Kamal Gupta
223
33
0
27 Sep 2023
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery
  Ticket
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery TicketEuropean Conference on Artificial Intelligence (ECAI), 2023
Yuwen Wang
Shunyu Liu
Kai Chen
Tongtian Zhu
Jilin Qiao
Mengjie Shi
Yuanyu Wan
Weilong Dai
263
7
0
05 Aug 2023
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude
  Pruning
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude PruningInternational Conference on Learning Representations (ICLR), 2023
Moonseok Choi
Hyungi Lee
G. Nam
Juho Lee
309
4
0
24 May 2023
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking
  Neural Network
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network
Man Yao
Yu-Liang Chou
Guangshe Zhao
Xiawu Zheng
Yonghong Tian
Boxing Xu
Guoqi Li
169
4
0
20 May 2023
Workload-Balanced Pruning for Sparse Spiking Neural Networks
Workload-Balanced Pruning for Sparse Spiking Neural NetworksIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023
Ruokai Yin
Youngeun Kim
Yuhang Li
Abhishek Moitra
Nitin Satpute
Anna Hambitzer
Priyadarshini Panda
267
31
0
13 Feb 2023
NIRVANA: Neural Implicit Representations of Videos with Adaptive
  Networks and Autoregressive Patch-wise Modeling
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise ModelingComputer Vision and Pattern Recognition (CVPR), 2022
Shishira R. Maiya
Sharath Girish
Max Ehrlich
Hanyu Wang
Kwot Sin Lee
Patrick Poirson
Pengxiang Wu
Chen Wang
Abhinav Shrivastava
VGen
242
62
0
30 Dec 2022
Dynamic Sparse Network for Time Series Classification: Learning What to
  "see''
Dynamic Sparse Network for Time Series Classification: Learning What to "see''Neural Information Processing Systems (NeurIPS), 2022
Qiao Xiao
Boqian Wu
Yu Zhang
Shiwei Liu
Mykola Pechenizkiy
Elena Mocanu
Decebal Constantin Mocanu
AI4TS
218
37
0
19 Dec 2022
Evolutionary Multitasking with Solution Space Cutting for Point Cloud
  Registration
Evolutionary Multitasking with Solution Space Cutting for Point Cloud RegistrationIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2022
Yue Wu
Peiran Gong
Maoguo Gong
Han-Yan Ding
Zedong Tang
Yibo Liu
Wenping Ma
Qiguang Miao
3DPC
360
27
0
12 Dec 2022
Data Level Lottery Ticket Hypothesis for Vision Transformers
Data Level Lottery Ticket Hypothesis for Vision TransformersInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Xuan Shen
Zhenglun Kong
Minghai Qin
Zhaoyang Han
Geng Yuan
Xin Meng
Hao Tang
Xiaolong Ma
Yanzhi Wang
291
8
0
02 Nov 2022
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
Exploring Lottery Ticket Hypothesis in Spiking Neural NetworksEuropean Conference on Computer Vision (ECCV), 2022
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Ruokai Yin
Priyadarshini Panda
398
57
0
04 Jul 2022
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep
  Neural Network, a Survey
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a SurveyArtificial Intelligence Review (Artif Intell Rev), 2022
Paul Wimmer
Jens Mehnert
Alexandru Paul Condurache
DD
372
35
0
17 May 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and
  Structured Sparsification
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured SparsificationInternational Conference on Learning Representations (ICLR), 2022
Sharath Girish
Kamal Gupta
Saurabh Singh
Abhinav Shrivastava
245
12
0
06 Apr 2022
Playing Lottery Tickets in Style Transfer Models
Playing Lottery Tickets in Style Transfer Models
Meihao Kong
Jing Huo
Wenbin Li
Jing Wu
Yu-kun Lai
Yang Gao
271
1
0
25 Mar 2022
The rise of the lottery heroes: why zero-shot pruning is hard
The rise of the lottery heroes: why zero-shot pruning is hardInternational Conference on Information Photonics (ICIP), 2022
Enzo Tartaglione
358
7
0
24 Feb 2022
Rare Gems: Finding Lottery Tickets at Initialization
Rare Gems: Finding Lottery Tickets at InitializationNeural Information Processing Systems (NeurIPS), 2022
Kartik K. Sreenivasan
Jy-yong Sohn
Liu Yang
Matthew Grinde
Alliot Nagle
Hongyi Wang
Eric P. Xing
Kangwook Lee
Dimitris Papailiopoulos
284
50
0
24 Feb 2022
Reconstruction Task Finds Universal Winning Tickets
Reconstruction Task Finds Universal Winning Tickets
Ruichen Li
Binghui Li
Qi Qian
Liwei Wang
213
0
0
23 Feb 2022
How Well Do Sparse Imagenet Models Transfer?
How Well Do Sparse Imagenet Models Transfer?Computer Vision and Pattern Recognition (CVPR), 2021
Eugenia Iofinova
Alexandra Peste
Mark Kurtz
Dan Alistarh
447
50
0
26 Nov 2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
Yonggan Fu
Qixuan Yu
Yang Zhang
Shan-Hung Wu
Ouyang Xu
David D. Cox
Yingyan Lin
AAMLOOD
474
36
0
26 Oct 2021
Membership Inference Attacks on Lottery Ticket Networks
Membership Inference Attacks on Lottery Ticket Networks
Aadesh Bagmar
Shishira R. Maiya
Shruti Bidwalka
Amol Deshpande
MIACV
186
5
0
07 Aug 2021
How much pre-training is enough to discover a good subnetwork?
How much pre-training is enough to discover a good subnetwork?
Cameron R. Wolfe
Fangshuo Liao
Qihan Wang
Junhyung Lyle Kim
Anastasios Kyrillidis
310
4
0
31 Jul 2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win
  the Jackpot?
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?Neural Information Processing Systems (NeurIPS), 2021
Xiaolong Ma
Geng Yuan
Xuan Shen
Tianlong Chen
Xuxi Chen
...
Ning Liu
Minghai Qin
Sijia Liu
Zinan Lin
Yanzhi Wang
546
70
0
01 Jul 2021
A Random CNN Sees Objects: One Inductive Bias of CNN and Its
  Applications
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications
Yun Cao
Jianxin Wu
SSL
306
35
0
17 Jun 2021
Super Tickets in Pre-Trained Language Models: From Model Compression to
  Improving Generalization
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving GeneralizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Chen Liang
Simiao Zuo
Minshuo Chen
Haoming Jiang
Xiaodong Liu
Pengcheng He
T. Zhao
Weizhu Chen
245
75
0
25 May 2021
On Lottery Tickets and Minimal Task Representations in Deep
  Reinforcement Learning
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2021
Marc Aurel Vischer
R. T. Lange
Henning Sprekeler
OODUQCVOffRL
250
27
0
04 May 2021
Playing Lottery Tickets with Vision and Language
Playing Lottery Tickets with Vision and LanguageAAAI Conference on Artificial Intelligence (AAAI), 2021
Zhe Gan
Yen-Chun Chen
Linjie Li
Tianlong Chen
Yu Cheng
Shuohang Wang
Jingjing Liu
Lijuan Wang
Zicheng Liu
VLM
418
63
0
23 Apr 2021
Knowledge Evolution in Neural Networks
Knowledge Evolution in Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2021
Ahmed Taha
Abhinav Shrivastava
L. Davis
195
30
0
09 Mar 2021
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