AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression

25 May 2021

Papers citing "AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression"

22 / 22 papers shown

Title
Data Generation for Hardware-Friendly Post-Training Quantization Lior Dikstein Ariel Lapid Arnon Netzer H. Habi MQ 454 0 0 29 Oct 2024
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity Kanghyun Choi Hyeyoon Lee Dain Kwon Sunjong Park Kyuyeun Kim Noseong Park Jinho Lee Jinho Lee MQ 104 2 0 29 Jul 2024
Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation Baozhou Zhu Zaid Al-Ars Wei Pan MQ 47 8 0 08 Aug 2020
NASB: Neural Architecture Search for Binary Convolutional Neural Networks Baozhou Zhu Zaid Al-Ars P. Hofstee MQ 44 23 0 08 Aug 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 71 121 0 08 May 2020
Generative Low-bitwidth Data Free Quantization Shoukai Xu Haokun Li Bohan Zhuang Jing Liu Jingyun Liang Chuangrun Liang Mingkui Tan MQ 51 127 0 07 Mar 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 98 399 0 01 Jan 2020
Data-Free Adversarial Distillation Gongfan Fang Mingli Song Chengchao Shen Xinchao Wang Da Chen Xiuming Zhang 61 147 0 23 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 78 569 0 18 Dec 2019
The Knowledge Within: Methods for Data-Free Model Compression Matan Haroush Itay Hubara Elad Hoffer Daniel Soudry 55 109 0 03 Dec 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 75 515 0 11 Jun 2019
Zero-shot Knowledge Transfer via Adversarial Belief Matching P. Micaelli Amos Storkey 54 230 0 23 May 2019
Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak Konda Reddy Mopuri Vaisakh Shaj R. Venkatesh Babu Anirban Chakraborty 75 245 0 20 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 359 6,804 0 06 May 2019
Data-Free Learning of Student Networks Hanting Chen Yunhe Wang Chang Xu Zhaohui Yang Chuanjian Liu Boxin Shi Chunjing Xu Chao Xu Qi Tian FedML 53 372 0 02 Apr 2019
Improved Knowledge Distillation via Teacher Assistant Seyed Iman Mirzadeh Mehrdad Farajtabar Ang Li Nir Levine Akihiro Matsukawa H. Ghasemzadeh 100 1,081 0 09 Feb 2019
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network Sachin Mehta Mohammad Rastegari Linda G. Shapiro Hannaneh Hajishirzi VLM 62 398 0 28 Nov 2018
Post-training 4-bit quantization of convolution networks for rapid-deployment Ron Banner Yury Nahshan Elad Hoffer Daniel Soudry MQ 62 94 0 02 Oct 2018
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction Liang-Chieh Chen Maxwell D. Collins Yukun Zhu George Papandreou Barret Zoph Florian Schroff Hartwig Adam Jonathon Shlens 3DV 67 409 0 11 Sep 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 204 4,366 0 24 Jun 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 117 2,766 0 09 Feb 2018
Data-Free Knowledge Distillation for Deep Neural Networks Raphael Gontijo-Lopes Stefano Fenu Thad Starner 60 273 0 19 Oct 2017