Diversity Networks: Neural Network Compression Using Determinantal Point Processes

16 November 2015

Papers citing "Diversity Networks: Neural Network Compression Using Determinantal Point Processes"

20 / 20 papers shown

Title
Pruning Very Deep Neural Network Channels for Efficient Inference Yihui He 35 1 0 14 Nov 2022
Data-Efficient Structured Pruning via Submodular Optimization Marwa El Halabi Suraj Srinivas Simon Lacoste-Julien 20 18 0 09 Mar 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks Xin Yu Thiago Serra Srikumar Ramalingam Shandian Zhe 42 48 0 09 Mar 2022
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance Shiwei Liu Yuesong Tian Tianlong Chen Li Shen 36 8 0 05 Mar 2022
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey Anton Van Den Hengel 43 87 0 12 May 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 150 675 0 24 Jan 2021
Baseline Pruning-Based Approach to Trojan Detection in Neural Networks P. Bajcsy Michael Majurski AAML 42 8 0 22 Jan 2021
Training Sparse Neural Networks using Compressed Sensing Jonathan W. Siegel Jianhong Chen Pengchuan Zhang Jinchao Xu 26 5 0 21 Aug 2020
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes Mike Gartrell Insu Han Elvis Dohmatob Jennifer Gillenwater Victor-Emmanuel Brunel 28 16 0 17 Jun 2020
Proving the Lottery Ticket Hypothesis: Pruning is All You Need Eran Malach Gilad Yehudai Shai Shalev-Shwartz Ohad Shamir 64 271 0 03 Feb 2020
Resource-Efficient Neural Networks for Embedded Systems Wolfgang Roth Günther Schindler Lukas Pfeifenberger Robert Peharz Sebastian Tschiatschek Holger Fröning Franz Pernkopf Zoubin Ghahramani 34 47 0 07 Jan 2020
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks Yihui He Jianing Qian Jianren Wang Cindy X. Le Congrui Hetang Qi Lyu Wenping Wang Tianwei Yue 48 11 0 21 Oct 2019
Improving Adversarial Robustness via Promoting Ensemble Diversity Tianyu Pang Kun Xu Chao Du Ning Chen Jun Zhu AAML 41 434 0 25 Jan 2019
DPPNet: Approximating Determinantal Point Processes with Deep Networks Zelda E. Mariet Yaniv Ovadia Jasper Snoek 27 10 0 07 Jan 2019
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 86 2,505 0 19 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks Zehao Huang Naiyan Wang 53 558 0 05 Jul 2017
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World S. Garg Irina Rish Guillermo Cecchi A. Lozano OffRL CLL 33 6 0 22 Jan 2017
Sequence-Level Knowledge Distillation Yoon Kim Alexander M. Rush 47 1,099 0 25 Jun 2016
Low-Rank Factorization of Determinantal Point Processes for Recommendation Mike Gartrell Ulrich Paquet Noam Koenigstein 21 77 0 17 Feb 2016
Determinantal point processes for machine learning Alex Kulesza B. Taskar 176 1,124 0 25 Jul 2012