Title
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 78 879 0 25 Jun 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 55 509 0 11 Jun 2019
Distilling Object Detectors with Fine-grained Feature Imitation Tao Wang Li-xin Yuan Xiaopeng Zhang Jiashi Feng ObjD 51 381 0 09 Jun 2019
Discovering Neural Wirings Mitchell Wortsman Ali Farhadi Mohammad Rastegari AI4CE 96 121 0 03 Jun 2019
Dimensionality compression and expansion in Deep Neural Networks Stefano Recanatesi M. Farrell Madhu S. Advani Timothy Moore Guillaume Lajoie E. Shea-Brown 49 73 0 02 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 131 18,058 0 28 May 2019
Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak Konda Reddy Mopuri Vaisakh Shaj R. Venkatesh Babu Anirban Chakraborty 73 245 0 20 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 46 21 0 15 May 2019
Encrypted Speech Recognition using Deep Polynomial Networks Shi-Xiong Zhang Jiawei Liu Dong Yu 52 26 0 11 May 2019
Relational Knowledge Distillation Wonpyo Park Dongju Kim Yan Lu Minsu Cho 63 1,405 0 10 Apr 2019
Adaptive NMS: Refining Pedestrian Detection in a Crowd Songtao Liu Di Huang Yunhong Wang 46 284 0 07 Apr 2019
Correlation Congruence for Knowledge Distillation Baoyun Peng Xiao Jin Jiaheng Liu Shunfeng Zhou Yichao Wu Yu Liu Dongsheng Li Zhaoning Zhang 86 510 0 03 Apr 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 53 507 0 22 Mar 2019
Learned Step Size Quantization S. K. Esser J. McKinstry Deepika Bablani R. Appuswamy D. Modha MQ 71 798 0 21 Feb 2019
Slimmable Neural Networks Jiahui Yu L. Yang N. Xu Jianchao Yang Thomas Huang 71 552 0 21 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 93 1,867 0 02 Dec 2018
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search Bichen Wu Yanghan Wang Peizhao Zhang Yuandong Tian Peter Vajda Kurt Keutzer MQ 64 273 0 30 Nov 2018
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference Edward Chou Josh Beal Daniel Levy Serena Yeung Albert Haque Li Fei-Fei 45 198 0 25 Nov 2018
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 115 880 0 21 Nov 2018
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks Patrick H. Chen Si Si Sanjiv Kumar Yang Li Cho-Jui Hsieh 42 21 0 29 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 243 1,196 0 04 Oct 2018
Bounding Box Regression with Uncertainty for Accurate Object Detection Yihui He Chenchen Zhu Jianren Wang Marios Savvides Xinming Zhang ObjD 74 468 0 23 Sep 2018
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA Junsong Wang Qiuwen Lou Xiaofan Zhang Chao Zhu Yonghua Lin Deming Chen MQ 55 93 0 31 Jul 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew G. Howard Quoc V. Le MQ 114 3,004 0 31 Jul 2018
Acquisition of Localization Confidence for Accurate Object Detection Borui Jiang Ruixuan Luo Jiayuan Mao Tete Xiao Yuning Jiang ObjD 48 850 0 30 Jul 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks Dongqing Zhang Jiaolong Yang Dongqiangzi Ye G. Hua MQ 59 703 0 26 Jul 2018
Coreset-Based Neural Network Compression Abhimanyu Dubey Moitreya Chatterjee Narendra Ahuja 57 81 0 25 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 185 4,345 0 24 Jun 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 219 3,457 0 09 Mar 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 86 1,348 0 10 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 107 2,761 0 09 Feb 2018
Relation Networks for Object Detection Han Hu Jiayuan Gu Zheng Zhang Jifeng Dai Yichen Wei ObjD 102 1,221 0 30 Nov 2017
Improving Object Localization with Fitness NMS and Bounded IoU Loss Lachlan Tychsen-Smith L. Petersson 58 176 0 01 Nov 2017
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 185 1,275 0 05 Oct 2017
Deep Mutual Learning Ying Zhang Tao Xiang Timothy M. Hospedales Huchuan Lu FedML 143 1,650 0 01 Jun 2017
Learning non-maximum suppression J. Hosang Rodrigo Benenson Bernt Schiele ObjD 54 519 0 08 May 2017
Soft-NMS -- Improving Object Detection With One Line of Code Navaneeth Bodla Bharat Singh Rama Chellappa L. Davis ObjD 83 1,786 0 14 Apr 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey Vivienne Sze Yu-hsin Chen Tien-Ju Yang J. Emer AAML 3DV 113 3,013 0 27 Mar 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 382 1,050 0 10 Feb 2017
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 113 2,569 0 12 Dec 2016
Challenges and Opportunities in Edge Computing Blesson Varghese Nan Wang Sakil Barbhuiya Peter Kilpatrick Dimitrios S. Nikolopoulos 62 461 0 07 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 729 36,708 0 25 Aug 2016
Ternary Weight Networks Fengfu Li Bin Liu Xiaoxing Wang Bo Zhang Junchi Yan MQ 68 525 0 16 May 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 159 4,350 0 16 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 139 7,465 0 24 Feb 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network Song Han Xingyu Liu Huizi Mao Jing Pu A. Pedram M. Horowitz W. Dally 118 2,455 0 04 Feb 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 245 8,821 0 01 Oct 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 296 18,587 0 06 Feb 2015
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation Nicolas Vasilache Jeff Johnson Michaël Mathieu Soumith Chintala Serkan Piantino Yann LeCun 50 347 0 24 Dec 2014
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 288 3,870 0 19 Dec 2014