DASS: Differentiable Architecture Search for Sparse neural networks

14 July 2022

Papers citing "DASS: Differentiable Architecture Search for Sparse neural networks"

35 / 35 papers shown

Title
Pruning Deep Neural Networks from a Sparsity Perspective Enmao Diao G. Wang Jiawei Zhan Yuhong Yang Jie Ding Vahid Tarokh 51 32 0 11 Feb 2023
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search Weijun Hong Guilin Li Weinan Zhang Ruiming Tang Yunhe Wang Zhenguo Li Yong Yu OOD 75 55 0 27 Jan 2022
On the Existence of Universal Lottery Tickets R. Burkholz Nilanjana Laha Rajarshi Mukherjee Alkis Gotovos UQCV 61 32 0 22 Nov 2021
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations Xinyu Zhang Ian Colbert Ken Kreutz-Delgado Srinjoy Das MQ 79 12 0 15 Oct 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn Jan van Gemert 107 83 0 15 Oct 2021
Rethinking Architecture Selection in Differentiable NAS Ruochen Wang Minhao Cheng Xiangning Chen Xiaocheng Tang Cho-Jui Hsieh 58 175 0 10 Aug 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 203 696 0 24 Jan 2021
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions Zhengyang Shen Lingshen He Zhouchen Lin Jinwen Ma 59 47 0 20 Jul 2020
MCUNet: Tiny Deep Learning on IoT Devices Ji Lin Wei-Ming Chen Chengyue Wu J. Cohn Chuang Gan Song Han 138 487 0 20 Jul 2020
BATS: Binary ArchitecTure Search Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 68 68 0 03 Mar 2020
Learned Threshold Pruning K. Azarian Yash Bhalgat Jinwon Lee Tijmen Blankevoort MQ 45 38 0 28 Feb 2020
Soft Threshold Weight Reparameterization for Learnable Sparsity Aditya Kusupati Vivek Ramanujan Raghav Somani Mitchell Wortsman Prateek Jain Sham Kakade Ali Farhadi 148 246 0 08 Feb 2020
Quantisation and Pruning for Neural Network Compression and Regularisation Kimessha Paupamah Steven D. James Richard Klein 34 23 0 14 Jan 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search Xuanyi Dong Yi Yang 132 710 0 02 Jan 2020
Quantifying the Carbon Emissions of Machine Learning Alexandre Lacoste A. Luccioni Victor Schmidt Thomas Dandres 88 701 0 21 Oct 2019
Understanding and Robustifying Differentiable Architecture Search Arber Zela T. Elsken Tonmoy Saikia Yassine Marrakchi Thomas Brox Frank Hutter OOD AAML 126 372 0 20 Sep 2019
Once-for-All: Train One Network and Specialize it for Efficient Deployment Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang Song Han OOD 102 1,280 0 26 Aug 2019
Network Pruning via Transformable Architecture Search Xuanyi Dong Yi Yang 3DPC 72 242 0 23 May 2019
ASAP: Architecture Search, Anneal and Prune Asaf Noy Niv Nayman T. Ridnik Nadav Zamir Sivan Doveh Itamar Friedman Raja Giryes Lihi Zelnik-Manor 70 103 0 08 Apr 2019
sharpDARTS: Faster and More Accurate Differentiable Architecture Search Andrew Hundt Varun Jain Gregory Hager OOD 49 66 0 23 Mar 2019
Model Compression with Adversarial Robustness: A Unified Optimization Framework Shupeng Gui Haotao Wang Chen Yu Haichuan Yang Zhangyang Wang Ji Liu MQ 47 138 0 10 Feb 2019
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 36 1,471 0 11 Oct 2018
Benchmark Analysis of Representative Deep Neural Network Architectures Simone Bianco Rémi Cadène Luigi Celona Paolo Napoletano BDL 66 677 0 01 Oct 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 199 4,354 0 24 Jun 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 225 3,463 0 09 Mar 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 150 3,026 0 05 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 178 19,271 0 13 Jan 2018
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 191 1,276 0 05 Oct 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks Andrew Brock Theodore Lim J. Ritchie Nick Weston 151 763 0 17 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 172 5,596 0 21 Jul 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 451 5,369 0 05 Nov 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 190 3,695 0 31 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 324 8,114 0 13 Aug 2016
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 310 6,669 0 08 Jun 2015
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 128 1,463 0 15 May 2014