Learning both Weights and Connections for Efficient Neural Networks

8 June 2015

Song Han

Papers citing "Learning both Weights and Connections for Efficient Neural Networks"

50 / 1,229 papers shown

Title
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking Ziqi Yang Hung Dang E. Chang AAML 29 34 0 14 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 26 6 0 12 Jun 2019
BasisConv: A method for compressed representation and learning in CNNs M. Tayyab Abhijit Mahalanobis 3DPC SSL 24 6 0 11 Jun 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 43 240 0 11 Jun 2019
Distilling Object Detectors with Fine-grained Feature Imitation Tao Wang Li-xin Yuan Xiaopeng Zhang Jiashi Feng ObjD 13 378 0 09 Jun 2019
DiCENet: Dimension-wise Convolutions for Efficient Networks Sachin Mehta Hannaneh Hajishirzi Mohammad Rastegari 41 43 0 08 Jun 2019
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers Ari S. Morcos Haonan Yu Michela Paganini Yuandong Tian 21 228 0 06 Jun 2019
(Pen-) Ultimate DNN Pruning Marc Riera J. Arnau Antonio González CVBM 16 1 0 06 Jun 2019
Butterfly Transform: An Efficient FFT Based Neural Architecture Design Keivan Alizadeh-Vahid Anish K. Prabhu Ali Farhadi Mohammad Rastegari 37 50 0 05 Jun 2019
OpenEI: An Open Framework for Edge Intelligence Xingzhou Zhang Yifan Wang Sidi Lu Liangkai Liu Lanyu Xu Weisong Shi 39 101 0 05 Jun 2019
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence I. Chakraborty Deboleena Roy Isha Garg Aayush Ankit Kaushik Roy 27 37 0 04 Jun 2019
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1 Qigong Sun Fanhua Shang Kan Yang Xiufang Li Yan Ren L. Jiao MQ 46 12 0 31 May 2019
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness Adnan Siraj Rakin Zhezhi He Li Yang Yanzhi Wang Liqiang Wang Deliang Fan AAML 51 21 0 30 May 2019
Attention Based Pruning for Shift Networks G. B. Hacene Carlos Lassance Vincent Gripon Matthieu Courbariaux Yoshua Bengio 41 25 0 29 May 2019
Online Filter Clustering and Pruning for Efficient Convnets Zhengguang Zhou Wen-gang Zhou Richang Hong Houqiang Li 24 23 0 28 May 2019
CGaP: Continuous Growth and Pruning for Efficient Deep Learning Xiaocong Du Zheng Li Yu Cao VLM 29 10 0 27 May 2019
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks Xiaoliang Dai Hongxu Yin N. Jha 38 31 0 27 May 2019
Learning Low-Rank Approximation for CNNs Dongsoo Lee S. Kwon Byeongwook Kim Gu-Yeon Wei 52 19 0 24 May 2019
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization S. Kwon Dongsoo Lee Byeongwook Kim Parichay Kapoor Baeseong Park Gu-Yeon Wei MQ 37 49 0 24 May 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 44 1,425 0 24 May 2019
Sparse Transfer Learning via Winning Lottery Tickets Rahul Mehta UQCV 24 45 0 19 May 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 27 847 0 17 May 2019
Dynamic Neural Network Channel Execution for Efficient Training Simeon E. Spasov Pietro Lio 19 4 0 15 May 2019
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek MQ 19 21 0 15 May 2019
Play and Prune: Adaptive Filter Pruning for Deep Model Compression Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri VLM 33 71 0 11 May 2019
Rethinking Arithmetic for Deep Neural Networks George A. Constantinides 34 4 0 07 May 2019
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM Sheng Lin Xiaolong Ma Shaokai Ye Geng Yuan Kaisheng Ma Yanzhi Wang MQ 38 10 0 02 May 2019
Analysing Neural Network Topologies: a Game Theoretic Approach Julian Stier G. Gianini Michael Granitzer Konstantin Ziegler 13 24 0 17 Apr 2019
"Jam Me If You Can'': Defeating Jammer with Deep Dueling Neural Network Architecture and Ambient Backscattering Augmented Communications Nguyen Van Huynh Diep N. Nguyen D. Hoang E. Dutkiewicz 17 48 0 08 Apr 2019
Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? Yunyang Xiong Ronak R. Mehta Vikas Singh 41 33 0 08 Apr 2019
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification Yunyang Xiong Hyunwoo Kim Varsha Hedau 48 19 0 07 Apr 2019
Weighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces Takamasa Okudono Masaki Waga Taro Sekiyama I. Hasuo 36 37 0 05 Apr 2019
Resource Efficient 3D Convolutional Neural Networks Okan Kopuklu Neslihan Köse Ahmet Gunduz Gerhard Rigoll 27 187 0 04 Apr 2019
Progressive Stochastic Binarization of Deep Networks David Hartmann Michael Wand MQ 39 1 0 03 Apr 2019
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints Shaofeng Cai Gang Chen Beng Chin Ooi Jinyang Gao 30 19 0 03 Apr 2019
Correlation Congruence for Knowledge Distillation Baoyun Peng Xiao Jin Jiaheng Liu Shunfeng Zhou Yichao Wu Yu Liu Dongsheng Li Zhaoning Zhang 63 507 0 03 Apr 2019
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning Peng Zhou Long Mai Jianming Zhang N. Xu Zuxuan Wu L. Davis CLL VLM 21 54 0 03 Apr 2019
How Can We Be So Dense? The Benefits of Using Highly Sparse Representations Subutai Ahmad Luiz Scheinkman 33 96 0 27 Mar 2019
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM Shaokai Ye Xiaoyu Feng Tianyun Zhang Xiaolong Ma Sheng Lin ... Jian Tang M. Fardad Xinyu Lin Yongpan Liu Yanzhi Wang MQ 43 38 0 23 Mar 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning Shaohui Lin Rongrong Ji Chenqian Yan Baochang Zhang Liujuan Cao QiXiang Ye Feiyue Huang David Doermann CVBM 22 505 0 22 Mar 2019
Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks Yunxiang Zhang S. Blusseau Santiago Velasco-Forero Isabelle Bloch Jesús Angulo 29 26 0 19 Mar 2019
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks Zahra Atashgahi Joost Pieterse Shiwei Liu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 40 15 0 17 Mar 2019
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness Jiawang Bai Yiming Li Jiawei Li Yong Jiang Shutao Xia 37 15 0 14 Mar 2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification Weijie Chen Di Xie Yuan Zhang Shiliang Pu 30 80 0 13 Mar 2019
Unsupervised Data Imputation via Variational Inference of Deep Subspaces Adrian Dalca John Guttag M. Sabuncu DRL 25 13 0 08 Mar 2019
Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers Baihan Lin 33 2 0 27 Feb 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 38 749 0 25 Feb 2019
XONN: XNOR-based Oblivious Deep Neural Network Inference M. Riazi Mohammad Samragh Hao Chen Kim Laine Kristin E. Lauter F. Koushanfar FedML GNN BDL 31 280 0 19 Feb 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 33 357 0 18 Feb 2019
Speeding up convolutional networks pruning with coarse ranking Zehao Wang Chengcheng Li Dali Wang Xiangyang Wang Hairong Qi 15 0 0 18 Feb 2019