Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network

17 March 2021

Papers citing "Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network"

18 / 18 papers shown

Title
Survival of the Fittest Representation: A Case Study with Modular Addition Xiaoman Delores Ding Zifan Carl Guo Eric J. Michaud Ziming Liu Max Tegmark 48 3 0 27 May 2024
Pursing the Sparse Limitation of Spiking Deep Learning Structures Hao-Ran Cheng Jiahang Cao Erjia Xiao Mengshu Sun Le Yang Jize Zhang Xue Lin B. Kailkhura Kaidi Xu Renjing Xu 16 1 0 18 Nov 2023
Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets A. D. Cunha Francesco d’Amore Emanuele Natale MLT 24 1 0 16 Nov 2023
Learning Discrete Weights and Activations Using the Local Reparameterization Trick G. Berger Aviv Navon Ethan Fetaya MQ 22 0 0 04 Jul 2023
Considering Layerwise Importance in the Lottery Ticket Hypothesis Benjamin Vandersmissen José Oramas 23 1 0 22 Feb 2023
Quantum Neuron Selection: Finding High Performing Subnetworks With Quantum Algorithms Tim Whitaker 27 1 0 12 Feb 2023
BiBench: Benchmarking and Analyzing Network Binarization Haotong Qin Mingyuan Zhang Yifu Ding Aoyu Li Zhongang Cai Ziwei Liu F. I. F. Richard Yu Xianglong Liu MQ AAML 32 36 0 26 Jan 2023
Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed Hao-Ran Cheng Pu Zhao Yize Li Xue Lin James Diffenderfer R. Goldhahn B. Kailkhura MQ 33 0 0 26 Sep 2022
Convolutional and Residual Networks Provably Contain Lottery Tickets R. Burkholz UQCV MLT 35 13 0 04 May 2022
Most Activation Functions Can Win the Lottery Without Excessive Depth R. Burkholz MLT 69 18 0 04 May 2022
Rare Gems: Finding Lottery Tickets at Initialization Kartik K. Sreenivasan Jy-yong Sohn Liu Yang Matthew Grinde Alliot Nagle Hongyi Wang Eric P. Xing Kangwook Lee Dimitris Papailiopoulos 22 42 0 24 Feb 2022
Robust Binary Models by Pruning Randomly-initialized Networks Chen Liu Ziqi Zhao Sabine Süsstrunk Mathieu Salzmann TPM AAML MQ 24 4 0 03 Feb 2022
Signing the Supermask: Keep, Hide, Invert Nils Koster O. Grothe Achim Rettinger 28 10 0 31 Jan 2022
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness James Diffenderfer Brian Bartoldson Shreya Chaganti Jize Zhang B. Kailkhura OOD 31 69 0 16 Jun 2021
Recent Advances on Neural Network Pruning at Initialization Huan Wang Can Qin Yue Bai Yulun Zhang Yun Fu CVBM 33 64 0 11 Mar 2021
Forward and Backward Information Retention for Accurate Binary Neural Networks Haotong Qin Ruihao Gong Xianglong Liu Mingzhu Shen Ziran Wei F. Yu Jingkuan Song MQ 131 324 0 24 Sep 2019
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation Jiaxin Gu Ce Li Baochang Zhang J. Han Xianbin Cao Jianzhuang Liu David Doermann 3DV 173 86 0 30 Nov 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 319 1,049 0 10 Feb 2017