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

Title
Channel Pruning via Automatic Structure SearchInternational Joint Conference on Artificial Intelligence (IJCAI), 2020 Mingbao Lin Rongrong Ji Yuxin Zhang Baochang Zhang Yongjian Wu Yonghong Tian 232 270 0 23 Jan 2020
Filter Sketch for Network PruningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Mingbao Lin Liujuan Cao Shaojie Li QiXiang Ye Yonghong Tian Jianzhuang Liu Q. Tian Rongrong Ji CLIP 3DPC 252 95 0 23 Jan 2020
Generalization Bounds for High-dimensional M-estimation under Sparsity Constraint Xiao-Tong Yuan Ping Li 165 2 0 20 Jan 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and FutureJournal of Cognitive Neuroscience (J Cogn Neurosci), 2020 Grace W. Lindsay MedIm 286 477 0 20 Jan 2020
On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks Michela Paganini Jessica Zosa Forde 254 19 0 14 Jan 2020
Universal Differential Equations for Scientific Machine Learning Christopher Rackauckas Yingbo Ma Julius Martensen Collin Warner K. Zubov R. Supekar Dominic J. Skinner Ali Ramadhan Alan Edelman AI4CE 378 693 0 13 Jan 2020
Pruning Convolutional Neural Networks with Self-Supervision Mathilde Caron Ari S. Morcos Piotr Bojanowski Julien Mairal Armand Joulin SSL 3DPC 133 13 0 10 Jan 2020
Campfire: Compressible, Regularization-Free, Structured Sparse Training for Hardware Accelerators Noah Gamboa Kais Kudrolli Anand Dhoot A. Pedram 130 11 0 09 Jan 2020
Least squares binary quantization of neural networks Hadi Pouransari Zhucheng Tu Oncel Tuzel MQ 200 36 0 09 Jan 2020
Sparse Weight Activation TrainingNeural Information Processing Systems (NeurIPS), 2020 Md Aamir Raihan Tor M. Aamodt 294 77 0 07 Jan 2020
Lossless Compression of Deep Neural NetworksIntegration of AI and OR Techniques in Constraint Programming (CPAIOR), 2020 Thiago Serra Abhinav Kumar Srikumar Ramalingam 440 60 0 01 Jan 2020
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection Tianshu Chu Qin Luo Jie Yang Xiaolin Huang MQ 118 8 0 29 Dec 2019
NAS evaluation is frustratingly hardInternational Conference on Learning Representations (ICLR), 2019 Antoine Yang P. Esperança Fabio Maria Carlucci 283 176 0 28 Dec 2019
Alpha Discovery Neural Network based on Prior Knowledge Jie Fang Shutao Xia Jianwu Lin Zhikang Xia Xiang Liu Yong Jiang 728 8 0 26 Dec 2019
Deep learning architectures for nonlinear operator functions and nonlinear inverse problemsMathematical Statistics and Learning (MSL), 2019 Maarten V. de Hoop Matti Lassas C. Wong 247 31 0 23 Dec 2019
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural NetworksInternational Conference on Machine Learning (ICML), 2019 Aleksandr Shevchenko Marco Mondelli 374 41 0 20 Dec 2019
Optimization for deep learning: theory and algorithms Tian Ding ODL 283 177 0 19 Dec 2019
WaLDORf: Wasteless Language-model Distillation On Reading-comprehension J. Tian A. Kreuzer Pai-Hung Chen Hans-Martin Will VLM 162 3 0 13 Dec 2019
Linear Mode Connectivity and the Lottery Ticket HypothesisInternational Conference on Machine Learning (ICML), 2019 Jonathan Frankle Gintare Karolina Dziugaite Daniel M. Roy Michael Carbin MoMe 703 699 0 11 Dec 2019
Is Feature Diversity Necessary in Neural Network Initialization? Yaniv Blumenfeld D. Gilboa Daniel Soudry 133 0 0 11 Dec 2019
Frivolous Units: Wider Networks Are Not Really That WideAAAI Conference on Artificial Intelligence (AAAI), 2019 Stephen Casper Xavier Boix Vanessa D’Amario Ling Guo Martin Schrimpf Kasper Vinken Gabriel Kreiman 219 20 0 10 Dec 2019
Winning the Lottery with Continuous SparsificationNeural Information Processing Systems (NeurIPS), 2019 Pedro H. P. Savarese Hugo Silva Michael Maire 286 148 0 10 Dec 2019
Explicit Group Sparse Projection with Applications to Deep Learning and NMF Riyasat Ohib Nicolas Gillis Niccolò Dalmasso Sameena Shah Vamsi K. Potluru Sergey Plis 413 10 0 09 Dec 2019
Explaining Sequence-Level Knowledge Distillation as Data-Augmentation for Neural Machine Translation Mitchell A. Gordon Kevin Duh 90 28 0 06 Dec 2019
The Search for Sparse, Robust Neural Networks J. Cosentino Federico Zaiter Dan Pei Jun Zhu AAML OOD 107 20 0 05 Dec 2019
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP Nils Rethmeier V. Saxena Isabelle Augenstein FAtt 184 2 0 02 Dec 2019
One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum EvaluationInternational Conference on Learning Representations (ICLR), 2019 Matthew Shunshi Zhang Bradly C. Stadie 104 34 0 30 Nov 2019
What's Hidden in a Randomly Weighted Neural Network?Computer Vision and Pattern Recognition (CVPR), 2019 Vivek Ramanujan Mitchell Wortsman Aniruddha Kembhavi Ali Farhadi Mohammad Rastegari 225 390 0 29 Nov 2019
Semi-Relaxed Quantization with DropBits: Training Low-Bit Neural Networks via Bit-wise Regularization J. H. Lee Jihun Yun Sung Ju Hwang Eunho Yang MQ 157 0 0 29 Nov 2019
QKD: Quantization-aware Knowledge Distillation Jangho Kim Brandon Smart Jinwon Lee Chirag I. Patel Nojun Kwak MQ 229 72 0 28 Nov 2019
Rigging the Lottery: Making All Tickets WinnersInternational Conference on Machine Learning (ICML), 2019 Utku Evci Trevor Gale Jacob Menick Pablo Samuel Castro Erich Elsen 479 678 0 25 Nov 2019
Trajectory growth lower bounds for random sparse deep ReLU networksInternational Conference on Machine Learning and Applications (ICMLA), 2019 Ilan Price Jared Tanner 124 5 0 25 Nov 2019
A Conceptual Framework for Lifelong Learning Charles X. Ling Tanner A. Bohn CLL 267 3 0 21 Nov 2019
DARB: A Density-Aware Regular-Block Pruning for Deep Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2019 Ao Ren Tao Zhang Yuhao Wang Sheng Lin Zhaoyang Han Yen-kuang Chen Yuan Xie Yanzhi Wang 282 11 0 19 Nov 2019
Provable Filter Pruning for Efficient Neural NetworksInternational Conference on Learning Representations (ICLR), 2019 Lucas Liebenwein Cenk Baykal Harry Lang Dan Feldman Daniela Rus VLM 3DPC 287 156 0 18 Nov 2019
Learning Sparse Sharing Architectures for Multiple TasksAAAI Conference on Artificial Intelligence (AAAI), 2019 Tianxiang Sun Yunfan Shao Xiaonan Li Pengfei Liu Hang Yan Xipeng Qiu Xuanjing Huang MoE 211 151 0 12 Nov 2019
Blockwise Self-Attention for Long Document UnderstandingFindings (Findings), 2019 J. Qiu Hao Ma Omer Levy Scott Yih Sinong Wang Jie Tang 272 269 0 07 Nov 2019
A Programmable Approach to Neural Network Compression Vinu Joseph Saurav Muralidharan Animesh Garg M. Garland Ganesh Gopalakrishnan 201 10 0 06 Nov 2019
E2-Train: Training State-of-the-art CNNs with Over 80% Energy SavingsNeural Information Processing Systems (NeurIPS), 2019 Yue Wang Ziyu Jiang Xiaohan Chen Pengfei Xu Yang Zhao Yingyan Lin Zinan Lin MQ 275 88 0 29 Oct 2019
Active Subspace of Neural Networks: Structural Analysis and Universal AttacksSIAM Journal on Mathematics of Data Science (SIMODS), 2019 Chunfeng Cui Kaiqi Zhang Talgat Daulbaev Julia Gusak Ivan Oseledets Zheng Zhang AAML 167 27 0 29 Oct 2019
Evaluating Lottery Tickets Under Distributional ShiftsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Shrey Desai Hongyuan Zhan Ahmed Aly UQCV OOD 150 42 0 28 Oct 2019
Neural Network Distiller: A Python Package For DNN Compression Research Neta Zmora Guy Jacob Lev Zlotnik Bar Elharar Gal Novik 115 75 0 27 Oct 2019
Reversible designs for extreme memory cost reduction of CNN trainingEURASIP Journal on Image and Video Processing (JIVP), 2019 T. Hascoet Q. Febvre Y. Ariki T. Takiguchi 3DV 112 2 0 24 Oct 2019
Global Capacity Measures for Deep ReLU Networks via Path Sampling Ryan Theisen Jason M. Klusowski Huan Wang N. Keskar Caiming Xiong R. Socher 78 3 0 22 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AIInformation Fusion (Inf. Fusion), 2019 Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 798 7,438 0 22 Oct 2019
Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 Flavio Martinelli Giorgia Dellaferrera Pablo Mainar Milos Cernak 157 34 0 22 Oct 2019
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering SystemWeb Search and Data Mining (WSDM), 2019 Ze Yang Linjun Shou Ming Gong Wutao Lin Daxin Jiang 208 101 0 18 Oct 2019
Path homologies of deep feedforward networksInternational Conference on Machine Learning and Applications (ICMLA), 2019 Samir Chowdhury Thomas Gebhart Steve Huntsman Matvey Yutin 121 27 0 16 Oct 2019
SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks Cenk Baykal Lucas Liebenwein Igor Gilitschenski Dan Feldman Daniela Rus 213 21 0 11 Oct 2019
Structured Pruning of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Ziheng Wang Jeremy Wohlwend Tao Lei 238 323 0 10 Oct 2019