XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

Papers citing "XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks"

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Title
Self-Compression in Bayesian Neural Networks Giuseppina Carannante Dimah Dera Ghulam Rasool N. Bouaynaya UQCV BDL 36 5 0 10 Nov 2021
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention S. Tan Runpei Dong Kaisheng Ma 22 2 0 03 Nov 2021
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment Weixin Xu Zipeng Feng Shuangkang Fang Song Yuan Yi Yang Shuchang Zhou MQ 30 1 0 01 Nov 2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning Ji Lin Wei-Ming Chen Han Cai Chuang Gan Song Han 47 156 0 28 Oct 2021
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks Hassan Dbouk Naresh R Shanbhag AAML 21 7 0 28 Oct 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks Yang Sui Miao Yin Yi Xie Huy Phan S. Zonouz Bo Yuan VLM 40 129 0 26 Oct 2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes Sanghyun Hong Michael-Andrei Panaitescu-Liess Yigitcan Kaya Tudor Dumitras MQ 60 13 0 26 Oct 2021
Demystifying and Generalizing BinaryConnect Abhishek Sharma Yaoliang Yu Eyyub Sari Mahdi Zolnouri V. Nia MQ 22 8 0 25 Oct 2021
Instance-Conditional Knowledge Distillation for Object Detection Zijian Kang Peizhen Zhang Xinming Zhang Jian Sun N. Zheng 27 76 0 25 Oct 2021
PR-CIM: a Variation-Aware Binary-Neural-Network Framework for Process-Resilient Computation-in-memory Minh-Son Le Thi-Nhan Pham Thanh-Dat Nguyen I. Chang MQ 21 2 0 19 Oct 2021
Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks Yikai Wang Yi Yang Gang Hua Anbang Yao MQ 29 15 0 18 Oct 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements Dahyun Kim Kunal Pratap Singh Jonghyun Choi MQ 49 7 0 16 Oct 2021
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization Weihan Chen Peisong Wang Jian Cheng MQ 49 62 0 13 Oct 2021
Partial Variable Training for Efficient On-Device Federated Learning Tien-Ju Yang Dhruv Guliani F. Beaufays Giovanni Motta FedML 27 25 0 11 Oct 2021
Towards Streaming Egocentric Action Anticipation Antonino Furnari G. Farinella EgoV 33 6 0 11 Oct 2021
Dynamic Binary Neural Network by learning channel-wise thresholds Jiehua Zhang Z. Su Yang Feng Xin Lu M. Pietikäinen Li Liu MQ 19 18 0 08 Oct 2021
8-bit Optimizers via Block-wise Quantization Tim Dettmers M. Lewis Sam Shleifer Luke Zettlemoyer MQ 34 276 0 06 Oct 2021
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method Guhyun Kim D. Jeong MQ 55 2 0 06 Oct 2021
Communication-Efficient Federated Learning with Binary Neural Networks YuZhi Yang Zhaoyang Zhang Qianqian Yang FedML 37 31 0 05 Oct 2021
Semi-tensor Product-based TensorDecomposition for Neural Network Compression Hengling Zhao Yipeng Liu Xiaolin Huang Ce Zhu 47 6 0 30 Sep 2021
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition Marawan Gamal Abdel Hameed Marzieh S. Tahaei A. Mosleh V. Nia 47 25 0 29 Sep 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Xiuming Zhang Dacheng Tao 28 38 0 27 Sep 2021
Deep Structured Instance Graph for Distilling Object Detectors Yixin Chen Pengguang Chen Shu Liu Liwei Wang Jiaya Jia ObjD ISeg 23 12 0 27 Sep 2021
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning Adarsh Kosta Malik Aqeel Anwar Priyadarshini Panda A. Raychowdhury Kaushik Roy 13 4 0 16 Sep 2021
OMPQ: Orthogonal Mixed Precision Quantization Yuexiao Ma Taisong Jin Xiawu Zheng Yan Wang Huixia Li Yongjian Wu Guannan Jiang Wei Zhang Rongrong Ji MQ 19 34 0 16 Sep 2021
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems Yinghan Long I. Chakraborty G. Srinivasan Kaushik Roy 30 14 0 14 Sep 2021
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks Cheng Gong Ye Lu Kunpeng Xie Zongming Jin Tao Li Yanzhi Wang MQ 27 7 0 08 Sep 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks Anuj Dubey Rosario Cammarota Vikram B. Suresh Aydin Aysu AAML 33 31 0 01 Sep 2021
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression Minsik Cho Keivan Alizadeh Vahid Saurabh N. Adya Mohammad Rastegari 42 34 0 28 Aug 2021
Quantization Backdoors to Deep Learning Commercial Frameworks Hua Ma Huming Qiu Yansong Gao Zhi-Li Zhang A. Abuadbba Minhui Xue Anmin Fu Jiliang Zhang S. Al-Sarawi Derek Abbott MQ 40 19 0 20 Aug 2021
Tiny Machine Learning for Concept Drift Simone Disabato M. Roveri 21 27 0 30 Jul 2021
Bias Loss for Mobile Neural Networks L. Abrahamyan Valentin Ziatchin Yiming Chen Nikos Deligiannis 20 14 0 23 Jul 2021
Double Similarity Distillation for Semantic Image Segmentation Yingchao Feng Xian Sun Wenhui Diao Jihao Li Xin Gao 24 62 0 19 Jul 2021
A High-Performance Adaptive Quantization Approach for Edge CNN Applications Hsu-Hsun Chin R. Tsay Hsin-I Wu MQ 24 5 0 18 Jul 2021
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference Zhiyu Chen Zhanghao Yu Qing Jin Yan He Jingyu Wang Sheng Lin Dai Li Yanzhi Wang Kaiyuan Yang MQ 23 79 0 06 Jul 2021
Quantum Annealing Formulation for Binary Neural Networks Michele Sasdelli Tat-Jun Chin MQ 29 16 0 05 Jul 2021
Smoothed Differential Privacy Ao Liu Yu-Xiang Wang Lirong Xia 35 0 0 04 Jul 2021
Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks Hakbin Kim Dong-Wan Choi 25 2 0 03 Jul 2021
Model of the Weak Reset Process in HfOx Resistive Memory for Deep Learning Frameworks A. Majumdar M. Bocquet T. Hirtzlin Axel Laborieux Jacques-Olivier Klein E. Nowak Elisa Vianello J. Portal D. Querlioz 10 3 0 02 Jul 2021
LNS-Madam: Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update Jiawei Zhao Steve Dai Rangharajan Venkatesan Brian Zimmer Mustafa Ali Xuan Li Brucek Khailany B. Dally Anima Anandkumar MQ 39 13 0 26 Jun 2021
How Do Adam and Training Strategies Help BNNs Optimization? Zechun Liu Zhiqiang Shen Shichao Li K. Helwegen Dong Huang Kwang-Ting Cheng ODL MQ 25 83 0 21 Jun 2021
CompConv: A Compact Convolution Module for Efficient Feature Learning Chen Zhang Yinghao Xu Yujun Shen VLM SSL 16 10 0 19 Jun 2021
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness James Diffenderfer Brian Bartoldson Shreya Chaganti Jize Zhang B. Kailkhura OOD 31 69 0 16 Jun 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better Gaurav Menghani VLM MedIm 23 367 0 16 Jun 2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks Nianhui Guo Joseph Bethge Haojin Yang Kai Zhong Xuefei Ning Christoph Meinel Yu Wang MQ 24 11 0 13 Jun 2021
Dynamic Resolution Network Mingjian Zhu Kai Han Enhua Wu Qiulin Zhang Ying Nie Zhenzhong Lan Yunhe Wang OOD 37 49 0 05 Jun 2021
Patch Slimming for Efficient Vision Transformers Yehui Tang Kai Han Yunhe Wang Chang Xu Jianyuan Guo Chao Xu Dacheng Tao ViT 34 163 0 05 Jun 2021
Multiplierless MP-Kernel Machine For Energy-efficient Edge Devices Abhishek Ramdas Nair P. Nath S. Chakrabartty Chetan Singh Thakur 51 14 0 03 Jun 2021
Pruning and Slicing Neural Networks using Formal Verification O. Lahav Guy Katz 26 20 0 28 May 2021
Quantization and Deployment of Deep Neural Networks on Microcontrollers Pierre-Emmanuel Novac G. B. Hacene Alain Pegatoquet Benoit Miramond Vincent Gripon MQ 25 116 0 27 May 2021