XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

50 / 544 papers shown

Title
Improved Knowledge Distillation via Adversarial Collaboration Zhiqiang Liu Chengkai Huang Yanxia Liu 21 2 0 29 Nov 2021
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 27 24 0 24 Nov 2021
Mesa: A Memory-saving Training Framework for Transformers Zizheng Pan Peng Chen Haoyu He Jing Liu Jianfei Cai Bohan Zhuang 23 20 0 22 Nov 2021
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression Yuezhou Sun Wenlong Zhao Lijun Zhang Xiao Liu Hui Guan Matei A. Zaharia 23 0 0 19 Nov 2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Yunshan Zhong Mingbao Lin Gongrui Nan Jianzhuang Liu Baochang Zhang Yonghong Tian Rongrong Ji MQ 40 71 0 17 Nov 2021
Self-Compression in Bayesian Neural Networks Giuseppina Carannante Dimah Dera Ghulam Rasool N. Bouaynaya UQCV BDL 28 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 21 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 31 152 0 28 Oct 2021
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks Hassan Dbouk Naresh R Shanbhag AAML 19 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 22 128 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 52 13 0 26 Oct 2021
Instance-Conditional Knowledge Distillation for Object Detection Zijian Kang Peizhen Zhang X. Zhang Jian-jun Sun N. Zheng 19 76 0 25 Oct 2021
Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks Yikai Wang Yi Yang Fuchun Sun Anbang Yao MQ 23 15 0 18 Oct 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements Dahyun Kim Kunal Pratap Singh Jonghyun Choi MQ 43 7 0 16 Oct 2021
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization Weihan Chen Peisong Wang Jian Cheng MQ 42 61 0 13 Oct 2021
Partial Variable Training for Efficient On-Device Federated Learning Tien-Ju Yang Dhruv Guliani F. Beaufays Giovanni Motta FedML 19 25 0 11 Oct 2021
Towards Streaming Egocentric Action Anticipation Antonino Furnari G. Farinella EgoV 30 6 0 11 Oct 2021
8-bit Optimizers via Block-wise Quantization Tim Dettmers M. Lewis Sam Shleifer Luke Zettlemoyer MQ 17 269 0 06 Oct 2021
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method Guhyun Kim D. Jeong MQ 36 2 0 06 Oct 2021
Communication-Efficient Federated Learning with Binary Neural Networks YuZhi Yang Zhaoyang Zhang Qianqian Yang FedML 21 31 0 05 Oct 2021
Semi-tensor Product-based TensorDecomposition for Neural Network Compression Hengling Zhao Yipeng Liu Xiaolin Huang Ce Zhu 34 6 0 30 Sep 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Mingli Song Dacheng Tao 16 38 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 8 4 0 16 Sep 2021
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems Yinghan Long I. Chakraborty G. Srinivasan Kaushik Roy 22 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 25 7 0 08 Sep 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks Anuj Dubey Rosario Cammarota Vikram B. Suresh Aydin Aysu AAML 30 31 0 01 Sep 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 32 19 0 20 Aug 2021
Tiny Machine Learning for Concept Drift Simone Disabato M. Roveri 8 27 0 30 Jul 2021
Bias Loss for Mobile Neural Networks L. Abrahamyan Valentin Ziatchin Yiming Chen Nikos Deligiannis 13 14 0 23 Jul 2021
Double Similarity Distillation for Semantic Image Segmentation Yingchao Feng Xian Sun Wenhui Diao Jihao Li Xin Gao 18 62 0 19 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 21 78 0 06 Jul 2021
Smoothed Differential Privacy Ao Liu Yu-Xiang Wang Lirong Xia 20 0 0 04 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 8 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 Ming-Yu Liu Brucek Khailany B. Dally Anima Anandkumar MQ 31 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 22 82 0 21 Jun 2021
CompConv: A Compact Convolution Module for Efficient Feature Learning Chen Zhang Yinghao Xu Yujun Shen VLM SSL 8 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 26 69 0 16 Jun 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better Gaurav Menghani VLM MedIm 23 365 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 22 11 0 13 Jun 2021
Dynamic Resolution Network Mingjian Zhu Kai Han Enhua Wu Qiulin Zhang Ying Nie Zhenzhong Lan Yunhe Wang OOD 27 49 0 05 Jun 2021
Multiplierless MP-Kernel Machine For Energy-efficient Edge Devices Abhishek Ramdas Nair P. Nath S. Chakrabartty Chetan Singh Thakur 40 14 0 03 Jun 2021
Quantization and Deployment of Deep Neural Networks on Microcontrollers Pierre-Emmanuel Novac G. B. Hacene Alain Pegatoquet Benoit Miramond Vincent Gripon MQ 20 116 0 27 May 2021
Content-adaptive Representation Learning for Fast Image Super-resolution Yukai Shi Jinghui Qin SupR 21 0 0 20 May 2021
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 25 35 0 19 May 2021
Lightweight compression of neural network feature tensors for collaborative intelligence R. Cohen Hyomin Choi Ivan V. Bajić 19 42 0 12 May 2021
Winograd Algorithm for AdderNet Wenshuo Li Hanting Chen Mingqiang Huang Xinghao Chen Chunjing Xu Yunhe Wang 16 8 0 12 May 2021
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things Huming Qiu Hua Ma Zhi-Li Zhang Yifeng Zheng Anmin Fu Pan Zhou Yansong Gao Derek Abbott S. Al-Sarawi MQ 16 9 0 09 May 2021
The Synergy of Complex Event Processing and Tiny Machine Learning in Industrial IoT Haoyu Ren Darko Anicic Thomas Runkler 12 24 0 04 May 2021
Binarized Aggregated Network with Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO System Zhilin Lu Xudong Zhang Hongyi He Jintao Wang Jian Song MQ 24 39 0 01 May 2021