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
SIMDRAM: An End-to-End Framework for Bit-Serial SIMD Computing in DRAM Nastaran Hajinazar Geraldo F. Oliveira Sven Gregorio João Dinis Ferreira Nika Mansouri-Ghiasi Minesh Patel M. Alser Saugata Ghose Juan Gómez Luna O. Mutlu 24 17 0 26 May 2021
Content-adaptive Representation Learning for Fast Image Super-resolution Yukai Shi Jinghui Qin SupR 29 0 0 20 May 2021
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 32 35 0 19 May 2021
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence R. Cohen Hyomin Choi Ivan V. Bajić 32 23 0 15 May 2021
Lightweight compression of neural network feature tensors for collaborative intelligence R. Cohen Hyomin Choi Ivan V. Bajić 30 42 0 12 May 2021
Winograd Algorithm for AdderNet Wenshuo Li Hanting Chen Mingqiang Huang Xinghao Chen Chunjing Xu Yunhe Wang 29 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 24 9 0 09 May 2021
The Synergy of Complex Event Processing and Tiny Machine Learning in Industrial IoT Haoyu Ren Darko Anicic Thomas Runkler 27 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 42 39 0 01 May 2021
Quantization of Deep Neural Networks for Accurate Edge Computing Wentao Chen Hailong Qiu Zhuang Jian Chutong Zhang Yu Hu Qing Lu Tianchen Wang Yiyu Shi Meiping Huang Xiaowe Xu 52 21 0 25 Apr 2021
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 38 12 0 21 Apr 2021
Differentiable Model Compression via Pseudo Quantization Noise Alexandre Défossez Yossi Adi Gabriel Synnaeve DiffM MQ 26 48 0 20 Apr 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 26 18 0 16 Apr 2021
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization Tianlong Chen Zhenyu Zhang Xu Ouyang Zechun Liu Zhiqiang Shen Zhangyang Wang MQ 46 36 0 16 Apr 2021
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators Shamma Nasrin A. Shylendra Yuti Kadakia N. Iliev Wilfred Gomes Theja Tulabandhula A. R. Trivedi MQ 13 2 0 12 Apr 2021
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks C. Suarez-Ramirez M. González-Mendoza Leonardo Chang-Fernández Gilberto Ochoa-Ruiz M. Duran-Vega MQ 30 7 0 11 Apr 2021
Binary Neural Network for Speaker Verification Tinglong Zhu Xiaoyi Qin Ming Li MQ 21 12 0 06 Apr 2021
Content-Aware GAN Compression Yuchen Liu Zhixin Shu Yijun Li Zhe Lin Federico Perazzi S. Kung GAN 37 58 0 06 Apr 2021
A Configurable BNN ASIC using a Network of Programmable Threshold Logic Standard Cells Ankit Wagle S. Khatri S. Vrudhula 21 8 0 04 Apr 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer Phuoc Pham J. Abraham Jaeyong Chung MQ 53 11 0 01 Apr 2021
Charged particle tracking via edge-classifying interaction networks G. Dezoort S. Thais Javier Mauricio Duarte Vesal Razavimaleki M. Atkinson I. Ojalvo Mark S. Neubauer P. Elmer 32 47 0 30 Mar 2021
Slimmable Compressive Autoencoders for Practical Neural Image Compression Feiyu Yang Luis Herranz Yongmei Cheng M. Mozerov 31 65 0 29 Mar 2021
Distilling a Powerful Student Model via Online Knowledge Distillation Shaojie Li Mingbao Lin Yan Wang Yongjian Wu Yonghong Tian Ling Shao Rongrong Ji FedML 29 47 0 26 Mar 2021
Dynamic Domain Adaptation for Efficient Inference Shuang Li Jinming Zhang Wen-hui Ma Chi Harold Liu Wei Li 27 12 0 26 Mar 2021
Prototype-based Personalized Pruning Jang-Hyun Kim Simyung Chang Sungrack Yun Nojun Kwak 28 4 0 25 Mar 2021
ReCU: Reviving the Dead Weights in Binary Neural Networks Zihan Xu Mingbao Lin Jianzhuang Liu Jie Chen Ling Shao Yue Gao Yonghong Tian Rongrong Ji MQ 26 81 0 23 Mar 2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 25 38 0 20 Mar 2021
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network James Diffenderfer B. Kailkhura MQ 37 75 0 17 Mar 2021
Training Dynamical Binary Neural Networks with Equilibrium Propagation Jérémie Laydevant M. Ernoult D. Querlioz Julie Grollier 26 16 0 16 Mar 2021
Learned Gradient Compression for Distributed Deep Learning L. Abrahamyan Yiming Chen Giannis Bekoulis Nikos Deligiannis 40 46 0 16 Mar 2021
TinyOL: TinyML with Online-Learning on Microcontrollers Haoyu Ren Darko Anicic Thomas Runkler 30 125 0 15 Mar 2021
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices F. Fahim B. Hawks C. Herwig J. Hirschauer S. Jindariani ... J. Ngadiuba Miaoyuan Liu Duc Hoang E. Kreinar Zhenbin Wu 37 129 0 09 Mar 2021
Learning Frequency Domain Approximation for Binary Neural Networks Yixing Xu Kai Han Chang Xu Yehui Tang Chunjing Xu Yunhe Wang MQ 24 54 0 01 Mar 2021
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation Xiaoyang Qu Jianzong Wang Jing Xiao 18 14 0 23 Feb 2021
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization Huanrui Yang Lin Duan Yiran Chen Hai Helen Li MQ 21 64 0 20 Feb 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration Zhiqiang Shen Zechun Liu Jie Qin Lei Huang Kwang-Ting Cheng Marios Savvides UQCV SSL MQ 248 22 0 17 Feb 2021
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch Aojun Zhou Yukun Ma Junnan Zhu Jianbo Liu Zhijie Zhang Kun Yuan Wenxiu Sun Hongsheng Li 69 241 0 08 Feb 2021
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices Nael Fasfous M. Vemparala Alexander Frickenstein Lukas Frickenstein W. Stechele CVBM 31 35 0 06 Feb 2021
Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded Platforms Rishabh Goyal Joaquin Vanschoren V. V. Acht S. Nijssen MQ 35 23 0 03 Feb 2021
Benchmarking Quantized Neural Networks on FPGAs with FINN Quentin Ducasse Pascal Cotret Loïc Lagadec Rob Stewart MQ 27 13 0 02 Feb 2021
Understanding Cache Boundness of ML Operators on ARM Processors Bernhard Klein Christoph Gratl Manfred Mücke Holger Fröning MQ 21 1 0 01 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 150 678 0 24 Jan 2021
A Review on Deep Learning in UAV Remote Sensing L. Osco J. M. Junior A. P. Ramos L. Jorge S. Fatholahi J. Silva E. Matsubara H. Pistori W. Gonçalves Jonathan Li AI4Cl 39 342 0 22 Jan 2021
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices G. Cerutti Renzo Andri Lukas Cavigelli Michele Magno Elisabetta Farella Luca Benini MQ 21 37 0 12 Jan 2021
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks Karina Vasquez Yeshwanth Venkatesha Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda MQ 48 15 0 12 Jan 2021
I-BERT: Integer-only BERT Quantization Sehoon Kim A. Gholami Z. Yao Michael W. Mahoney Kurt Keutzer MQ 107 345 0 05 Jan 2021
BinaryBERT: Pushing the Limit of BERT Quantization Haoli Bai Wei Zhang Lu Hou Lifeng Shang Jing Jin Xin Jiang Qun Liu Michael Lyu Irwin King MQ 145 221 0 31 Dec 2020
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks Ziquan Liu Wuguannan Yao Qiao Li Antoni B. Chan MQ 30 9 0 26 Dec 2020
Hybrid and Non-Uniform quantization methods using retro synthesis data for efficient inference Gvsl Tej Pratap R. Kumar MQ 29 1 0 26 Dec 2020
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai BDL 64 140 0 21 Dec 2020