Binarized Neural Networks

8 February 2016

Papers citing "Binarized Neural Networks"

50 / 288 papers shown

Title
Defensive Tensorization Adrian Bulat Jean Kossaifi S. Bhattacharya Yannis Panagakis Timothy M. Hospedales Georgios Tzimiropoulos Nicholas D. Lane M. Pantic AAML 6 4 0 26 Oct 2021
Class-Discriminative CNN Compression Yuchen Liu D. Wentzlaff S. Kung 24 1 0 21 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 11 2 0 19 Oct 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements Dahyun Kim Kunal Pratap Singh Jonghyun Choi MQ 38 7 0 16 Oct 2021
Dynamic Binary Neural Network by learning channel-wise thresholds Jiehua Zhang Z. Su Yang Feng Xin Lu M. Pietikäinen Li Liu MQ 11 18 0 08 Oct 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
Distribution-sensitive Information Retention for Accurate Binary Neural Network Haotong Qin Xiangguo Zhang Ruihao Gong Yifu Ding Yi Xu Xianglong Liu MQ 9 84 0 25 Sep 2021
Learning Versatile Convolution Filters for Efficient Visual Recognition Kai Han Yunhe Wang Chang Xu Chunjing Xu Enhua Wu Dacheng Tao 11 8 0 20 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
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning Wachirawit Ponghiran Kaushik Roy 25 48 0 04 Sep 2021
SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches Arlene John Koushik Kumar Nundy B. Cardiff Deepu John 11 14 0 25 Aug 2021
On the Importance of Encrypting Deep Features Xingyang Ni H. Huttunen Esa Rahtu MIACV 12 0 0 16 Aug 2021
Formation of cell assemblies with iterative winners-take-all computation and excitation-inhibition balance V. Osaulenko Danylo Ulianych 17 2 0 02 Aug 2021
FLASH: Fast Neural Architecture Search with Hardware Optimization Guihong Li Sumit K. Mandal Ümit Y. Ogras R. Marculescu 17 20 0 01 Aug 2021
Adaptive Precision Training (AdaPT): A dynamic fixed point quantized training approach for DNNs Lorenz Kummer Kevin Sidak Tabea Reichmann Wilfried Gansterer MQ 17 5 0 28 Jul 2021
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression Souvik Kundu Gourav Datta Massoud Pedram P. Beerel 13 14 0 16 Jul 2021
Differentiable Architecture Pruning for Transfer Learning Nicolo Colombo Yang Gao 10 2 0 07 Jul 2021
Post-Training Quantization for Vision Transformer Zhenhua Liu Yunhe Wang Kai Han Siwei Ma Wen Gao ViT MQ 39 321 0 27 Jun 2021
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks Alexandra Peste Eugenia Iofinova Adrian Vladu Dan Alistarh AI4CE 8 68 0 23 Jun 2021
Efficient Inference via Universal LSH Kernel Zichang Liu Benjamin Coleman Anshumali Shrivastava 14 1 0 21 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 15 82 0 21 Jun 2021
Recurrent Stacking of Layers in Neural Networks: An Application to Neural Machine Translation Raj Dabre Atsushi Fujita 14 1 0 18 Jun 2021
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection Yulin Zhu Y. Lai Kaifa Zhao Xiapu Luo Ming Yuan Jian Ren Kai Zhou AAML 25 24 0 18 Jun 2021
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications Young D. Kwon Jagmohan Chauhan Cecilia Mascolo HAI 11 16 0 14 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
DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications Tao Luo Wai Teng Tang Matthew Kay Fei Lee Chuping Qu Weng-Fai Wong Rick Siow Mong Goh 14 0 0 25 May 2021
An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices Mohammed E. Elbtity Abhishek Singh Brendan Reidy Xiaochen Guo Ramtin Zand 9 17 0 24 May 2021
Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization Haichao Yu Linjie Yang Humphrey Shi OOD MQ 16 5 0 16 May 2021
Winograd Algorithm for AdderNet Wenshuo Li Hanting Chen Mingqiang Huang Xinghao Chen Chunjing Xu Yunhe Wang 11 8 0 12 May 2021
Binarized Weight Error Networks With a Transition Regularization Term Savas Ozkan G. Akar MQ 10 1 0 09 May 2021
A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors Arlene John B. Cardiff Deepu John 8 23 0 02 May 2021
Differentiable Model Compression via Pseudo Quantization Noise Alexandre Défossez Yossi Adi Gabriel Synnaeve DiffM MQ 10 46 0 20 Apr 2021
Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles Jiwei Guan Xi Zheng Chen Wang Yipeng Zhou A. Jolfaei AAML 8 5 0 20 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 31 36 0 16 Apr 2021
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks Hongyi Pan Diaa Badawi Ahmet Enis Cetin 6 20 0 14 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 9 7 0 11 Apr 2021
Content-Aware GAN Compression Yuchen Liu Zhixin Shu Yijun Li Zhe-nan Lin Federico Perazzi S. Kung GAN 24 58 0 06 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 19 401 0 05 Apr 2021
Binarized Neural Networks for Resource-Constrained On-Device Gait Identification Daniel Jeffrey Wu Avoy Datta Vinay Uday Prabhu CVBM 10 0 0 30 Mar 2021
BCNN: Binary Complex Neural Network Yanfei Li Tong Geng Ang Li Huimin Yu MQ 17 8 0 28 Mar 2021
Automated Backend-Aware Post-Training Quantization Ziheng Jiang Animesh Jain An Liu Josh Fromm Chengqian Ma Tianqi Chen Luis Ceze MQ 27 2 0 27 Mar 2021
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses Saurav Maji Utsav Banerjee A. Chandrakasan AAML 20 30 0 26 Mar 2021
Prototype-based Personalized Pruning Jang-Hyun Kim Simyung Chang Sungrack Yun Nojun Kwak 8 4 0 25 Mar 2021
Recent Advances in Large Margin Learning Yiwen Guo Changshui Zhang AAML AI4CE 20 13 0 25 Mar 2021
n-hot: Efficient bit-level sparsity for powers-of-two neural network quantization Yuiko Sakuma Hiroshi Sumihiro Jun Nishikawa Toshiki Nakamura Ryoji Ikegaya MQ 29 1 0 22 Mar 2021
Fast threshold optimization for multi-label audio tagging using Surrogate gradient learning Thomas Pellegrini T. Masquelier BDL 6 7 0 01 Mar 2021
Constrained Differentially Private Federated Learning for Low-bandwidth Devices Raouf Kerkouche G. Ács C. Castelluccia P. Genevès 10 7 0 27 Feb 2021
QuPeL: Quantized Personalization with Applications to Federated Learning Kaan Ozkara Navjot Singh Deepesh Data Suhas Diggavi FedML 14 5 0 23 Feb 2021
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks Raphael Baena Lucas Drumetz Vincent Gripon 20 0 0 18 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 244 22 0 17 Feb 2021