XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

50 / 564 papers shown

Title
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
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 44 21 0 25 Apr 2021
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 28 12 0 21 Apr 2021
Differentiable Model Compression via Pseudo Quantization Noise Alexandre Défossez Yossi Adi Gabriel Synnaeve DiffM MQ 15 47 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 22 18 0 16 Apr 2021
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization Tianlong Chen Zhenyu (Allen) Zhang Xu Ouyang Zechun Liu Zhiqiang Shen Zhangyang Wang MQ 37 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 6 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 22 7 0 11 Apr 2021
Content-Aware GAN Compression Yuchen Liu Zhixin Shu Yijun Li Zhe-nan Lin Federico Perazzi S. Kung GAN 32 58 0 06 Apr 2021
A Configurable BNN ASIC using a Network of Programmable Threshold Logic Standard Cells Ankit Wagle S. Khatri S. Vrudhula 6 8 0 04 Apr 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer Phuoc Pham J. Abraham Jaeyong Chung MQ 33 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 25 46 0 30 Mar 2021
Slimmable Compressive Autoencoders for Practical Neural Image Compression Feiyu Yang Luis Herranz Yongmei Cheng M. Mozerov 23 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 25 46 0 26 Mar 2021
Prototype-based Personalized Pruning Jang-Hyun Kim Simyung Chang Sungrack Yun Nojun Kwak 8 4 0 25 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 16 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 32 75 0 17 Mar 2021
Training Dynamical Binary Neural Networks with Equilibrium Propagation Jérémie Laydevant M. Ernoult D. Querlioz Julie Grollier 20 16 0 16 Mar 2021
Learned Gradient Compression for Distributed Deep Learning L. Abrahamyan Yiming Chen Giannis Bekoulis Nikos Deligiannis 32 45 0 16 Mar 2021
TinyOL: TinyML with Online-Learning on Microcontrollers Haoyu Ren Darko Anicic Thomas Runkler 17 125 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 22 129 0 09 Mar 2021
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation Xiaoyang Qu Jianzong Wang Jing Xiao 16 14 0 23 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 50 239 0 08 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 16 23 0 03 Feb 2021
Benchmarking Quantized Neural Networks on FPGAs with FINN Quentin Ducasse Pascal Cotret Loïc Lagadec Rob Stewart MQ 17 13 0 02 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 130 673 0 24 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 35 15 0 12 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 142 221 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 22 9 0 26 Dec 2020
Hybrid and Non-Uniform quantization methods using retro synthesis data for efficient inference Gvsl Tej Pratap R. Kumar MQ 16 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 Muhammad Shafique BDL 56 140 0 21 Dec 2020
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons Simon Wiedemann Suhas Shivapakash P. Wiedemann Daniel Becking Wojciech Samek F. Gerfers Thomas Wiegand MQ 16 7 0 17 Dec 2020
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification Angus Dempster Daniel F. Schmidt Geoffrey I. Webb AI4TS 42 354 0 16 Dec 2020
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation Sophie Burkhardt Jannis Brugger Nicolas Wagner Zahra Ahmadi Kristian Kersting Stefan Kramer NAI FAtt 25 8 0 15 Dec 2020
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning Hyeryung Jang N. Skatchkovsky Osvaldo Simeone 34 17 0 15 Dec 2020
Robustness and Transferability of Universal Attacks on Compressed Models Alberto G. Matachana Kenneth T. Co Luis Muñoz-González David Martínez Emil C. Lupu AAML 26 10 0 10 Dec 2020
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Runbin Shi Hayden Kwok-Hay So Xuehai Qian Yanzhi Wang Xue Lin MQ 18 82 0 08 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 52 116 0 25 Nov 2020
Rethinking Weight Decay For Efficient Neural Network Pruning Hugo Tessier Vincent Gripon Mathieu Léonardon M. Arzel T. Hannagan David Bertrand 26 25 0 20 Nov 2020
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks T. Bannink Arash Bakhtiari Adam Hillier Lukas Geiger T. D. Bruin Leon Overweel J. Neeven K. Helwegen 3DV MQ 13 36 0 18 Nov 2020
All-optical neuromorphic binary convolution with a spiking VCSEL neuron for image gradient magnitudes Yahui Zhang J. Robertson S. Xiang Matvej Hejda Julián Bueno Antonio Hurtado 14 35 0 09 Nov 2020
Generalized Negative Correlation Learning for Deep Ensembling Sebastian Buschjäger Lukas Pfahler K. Morik FedML BDL UQCV 9 17 0 05 Nov 2020
An SMT-Based Approach for Verifying Binarized Neural Networks Guy Amir Haoze Wu Clark W. Barrett Guy Katz 11 58 0 05 Nov 2020
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks Thomas Bird F. Kingma David Barber SyDa MQ AI4CE 18 9 0 26 Oct 2020
Training Binary Neural Networks through Learning with Noisy Supervision Kai Han Yunhe Wang Yixing Xu Chunjing Xu Enhua Wu Chang Xu MQ 13 55 0 10 Oct 2020
High-Capacity Expert Binary Networks Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 24 57 0 07 Oct 2020
Joint Pruning & Quantization for Extremely Sparse Neural Networks Po-Hsiang Yu Sih-Sian Wu Jan P. Klopp Liang-Gee Chen Shao-Yi Chien MQ 14 14 0 05 Oct 2020