Rigging the Lottery: Making All Tickets Winners

25 November 2019

Papers citing "Rigging the Lottery: Making All Tickets Winners"

50 / 152 papers shown

Title
Minimum Variance Unbiased N:M Sparsity for the Neural Gradients Brian Chmiel Itay Hubara Ron Banner Daniel Soudry 23 10 0 21 Mar 2022
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance Shiwei Liu Yuesong Tian Tianlong Chen Li Shen 41 8 0 05 Mar 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 100 47 0 20 Feb 2022
Signing the Supermask: Keep, Hide, Invert Nils Koster O. Grothe Achim Rettinger 36 10 0 31 Jan 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning Hanhan Zhou Tian-Shing Lan Guru Venkataramani Wenbo Ding FedML 32 6 0 27 Jan 2022
Achieving Personalized Federated Learning with Sparse Local Models Tiansheng Huang Shiwei Liu Li Shen Fengxiang He Weiwei Lin Dacheng Tao FedML 38 43 0 27 Jan 2022
Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks Kevin Lee Hunter Lawrence Spracklen Subutai Ahmad 28 20 0 27 Dec 2021
Training Structured Neural Networks Through Manifold Identification and Variance Reduction Zih-Syuan Huang Ching-pei Lee AAML 50 9 0 05 Dec 2021
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models Tri Dao Beidi Chen Kaizhao Liang Jiaming Yang Zhao Song Atri Rudra Christopher Ré 33 75 0 30 Nov 2021
How Well Do Sparse Imagenet Models Transfer? Eugenia Iofinova Alexandra Peste Mark Kurtz Dan Alistarh 27 38 0 26 Nov 2021
Pruning Self-attentions into Convolutional Layers in Single Path Haoyu He Jianfei Cai Jing Liu Zizheng Pan Jing Zhang Dacheng Tao Bohan Zhuang ViT 34 40 0 23 Nov 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification Xiao Zhou Weizhong Zhang Zonghao Chen Shizhe Diao Tong Zhang 40 46 0 10 Nov 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge Geng Yuan Xiaolong Ma Wei Niu Zhengang Li Zhenglun Kong ... Minghai Qin Bin Ren Yanzhi Wang Sijia Liu Xue Lin 28 89 0 26 Oct 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks Yang Sui Miao Yin Yi Xie Huy Phan S. Zonouz Bo Yuan VLM 37 129 0 26 Oct 2021
The Efficiency Misnomer Daoyuan Chen Liuyi Yao Dawei Gao Ashish Vaswani Yaliang Li 39 99 0 25 Oct 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks Shuai Zhang Meng Wang Sijia Liu Pin-Yu Chen Jinjun Xiong UQCV MLT 31 13 0 12 Oct 2021
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks Ghada Sokar Decebal Constantin Mocanu Mykola Pechenizkiy CLL 35 8 0 11 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 98 54 0 01 Oct 2021
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity Shiwei Liu Tianlong Chen Zahra Atashgahi Xiaohan Chen Ghada Sokar Elena Mocanu Mykola Pechenizkiy Zhangyang Wang Decebal Constantin Mocanu OOD 31 49 0 28 Jun 2021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration Shiwei Liu Tianlong Chen Xiaohan Chen Zahra Atashgahi Lu Yin Huanyu Kou Li Shen Mykola Pechenizkiy Zhangyang Wang Decebal Constantin Mocanu 45 112 0 19 Jun 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better Gaurav Menghani VLM MedIm 23 367 0 16 Jun 2021
Towards Understanding Iterative Magnitude Pruning: Why Lottery Tickets Win Jaron Maene Mingxiao Li Marie-Francine Moens 11 15 0 13 Jun 2021
Efficient Lottery Ticket Finding: Less Data is More Zhenyu Zhang Xuxi Chen Tianlong Chen Zhangyang Wang 19 54 0 06 Jun 2021
1xN Pattern for Pruning Convolutional Neural Networks Mingbao Lin Yu-xin Zhang Yuchao Li Bohong Chen Rongrong Ji Mengdi Wang Shen Li Yonghong Tian Rongrong Ji 3DPC 33 40 0 31 May 2021
Learning Language Specific Sub-network for Multilingual Machine Translation Zehui Lin Liwei Wu Mingxuan Wang Lei Li 24 81 0 19 May 2021
Effective Sparsification of Neural Networks with Global Sparsity Constraint Xiao Zhou Weizhong Zhang Hang Xu Tong Zhang 21 61 0 03 May 2021
Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones? Franco Pellegrini Giulio Biroli 54 6 0 27 Apr 2021
Lottery Jackpots Exist in Pre-trained Models Yuxin Zhang Mingbao Lin Yan Wang Rongrong Ji Rongrong Ji 35 15 0 18 Apr 2021
BASE Layers: Simplifying Training of Large, Sparse Models M. Lewis Shruti Bhosale Tim Dettmers Naman Goyal Luke Zettlemoyer MoE 53 274 0 30 Mar 2021
The Elastic Lottery Ticket Hypothesis Xiaohan Chen Yu Cheng Shuohang Wang Zhe Gan Jingjing Liu Zhangyang Wang OOD 28 34 0 30 Mar 2021
Recent Advances on Neural Network Pruning at Initialization Huan Wang Can Qin Yue Bai Yulun Zhang Yun Fu CVBM 38 64 0 11 Mar 2021
Sparse Training Theory for Scalable and Efficient Agents Decebal Constantin Mocanu Elena Mocanu T. Pinto Selima Curci Phuong H. Nguyen M. Gibescu D. Ernst Z. Vale 45 17 0 02 Mar 2021
An Information-Theoretic Justification for Model Pruning Berivan Isik Tsachy Weissman Albert No 95 35 0 16 Feb 2021
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks Itay Hubara Brian Chmiel Moshe Island Ron Banner S. Naor Daniel Soudry 59 111 0 16 Feb 2021
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch Aojun Zhou Yukun Ma Junnan Zhu Jianbo Liu Zhijie Zhang Kun Yuan Wenxiu Sun Hongsheng Li 69 241 0 08 Feb 2021
Time-Correlated Sparsification for Communication-Efficient Federated Learning Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 43 47 0 21 Jan 2021
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Michael Carbin Zhangyang Wang 27 123 0 12 Dec 2020
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders Zahra Atashgahi Ghada Sokar T. Lee Elena Mocanu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 19 37 0 01 Dec 2020
Rethinking Weight Decay For Efficient Neural Network Pruning Hugo Tessier Vincent Gripon Mathieu Léonardon M. Arzel T. Hannagan David Bertrand 31 25 0 20 Nov 2020
Layer-Wise Data-Free CNN Compression Maxwell Horton Yanzi Jin Ali Farhadi Mohammad Rastegari MQ 24 17 0 18 Nov 2020
Are wider nets better given the same number of parameters? A. Golubeva Behnam Neyshabur Guy Gur-Ari 32 44 0 27 Oct 2020
Brain-Inspired Learning on Neuromorphic Substrates Friedemann Zenke Emre Neftci 38 89 0 22 Oct 2020
Layer-adaptive sparsity for the Magnitude-based Pruning Jaeho Lee Sejun Park Sangwoo Mo Sungsoo Ahn Jinwoo Shin 21 189 0 15 Oct 2020
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win Utku Evci Yani Andrew Ioannou Cem Keskin Yann N. Dauphin 42 87 0 07 Oct 2020
Pruning Neural Networks at Initialization: Why are We Missing the Mark? Jonathan Frankle Gintare Karolina Dziugaite Daniel M. Roy Michael Carbin 21 238 0 18 Sep 2020
The Hardware Lottery Sara Hooker 27 204 0 14 Sep 2020
SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference Ziheng Wang 40 67 0 26 Aug 2020
Directional Pruning of Deep Neural Networks Shih-Kang Chao Zhanyu Wang Yue Xing Guang Cheng ODL 21 33 0 16 Jun 2020
Progressive Skeletonization: Trimming more fat from a network at initialization Pau de Jorge Amartya Sanyal Harkirat Singh Behl Philip Torr Grégory Rogez P. Dokania 31 95 0 16 Jun 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 34 73 0 07 Jan 2020