BinaryConnect: Training Deep Neural Networks with binary weights during propagations

2 November 2015

Papers citing "BinaryConnect: Training Deep Neural Networks with binary weights during propagations"

50 / 501 papers shown

Title
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
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks G. Bingham Risto Miikkulainen ODL 24 4 0 18 Sep 2021
Compact representations of convolutional neural networks via weight pruning and quantization Giosuè Cataldo Marinò A. Petrini D. Malchiodi Marco Frasca MQ 21 4 0 28 Aug 2021
MOHAQ: Multi-Objective Hardware-Aware Quantization of Recurrent Neural Networks Nesma M. Rezk Tomas Nordstrom D. Stathis Z. Ul-Abdin E. Aksoy A. Hemani MQ 28 1 0 02 Aug 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
ROBIN: A Robust Optical Binary Neural Network Accelerator Febin P. Sunny Asif Mirza Mahdi Nikdast S. Pasricha MQ 28 35 0 12 Jul 2021
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 63 73 0 09 Jul 2021
Smoothed Differential Privacy Ao Liu Yu-Xiang Wang Lirong Xia 33 0 0 04 Jul 2021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain Leon Witt Usama Zafar KuoYeh Shen Felix Sattler Dan Li Wojciech Samek FedML 40 4 0 27 Jun 2021
Learning Gradual Argumentation Frameworks using Genetic Algorithms J. Spieler Nico Potyka Steffen Staab AI4CE 36 4 0 25 Jun 2021
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores Boyuan Feng Yuke Wang Tong Geng Ang Li Yufei Ding MQ 18 37 0 23 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
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
Multiplierless MP-Kernel Machine For Energy-efficient Edge Devices Abhishek Ramdas Nair P. Nath S. Chakrabartty Chetan Singh Thakur 48 14 0 03 Jun 2021
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration Yao Chen Cole Hawkins Kaiqi Zhang Zheng-Wei Zhang Cong Hao 26 8 0 11 May 2021
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge Xiaoyue Wen M. Famouri Andrew Hryniowski Alexander Wong SSeg 13 7 0 29 Apr 2021
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training Jianfei Chen Lianmin Zheng Z. Yao Dequan Wang Ion Stoica Michael W. Mahoney Joseph E. Gonzalez MQ 27 74 0 29 Apr 2021
3D Scene Compression through Entropy Penalized Neural Representation Functions Thomas Bird Johannes Ballé Saurabh Singh P. Chou 41 30 0 26 Apr 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
A Survey of Modern Deep Learning based Object Detection Models Syed Sahil Abbas Zaidi M. S. Ansari Asra Aslam N. Kanwal M. Asghar Brian Lee VLM ObjD 69 730 0 24 Apr 2021
Differentiable Model Compression via Pseudo Quantization Noise Alexandre Défossez Yossi Adi Gabriel Synnaeve DiffM MQ 18 47 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 23 5 0 20 Apr 2021
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis Saurav Jha Martin Schiemer F. Zambonelli Juan Ye 23 48 0 19 Apr 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 24 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 43 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
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 45 402 0 05 Apr 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer Phuoc Pham J. Abraham Jaeyong Chung MQ 40 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 27 47 0 30 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 24 81 0 23 Mar 2021
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network James Diffenderfer B. Kailkhura MQ 35 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
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 32 129 0 09 Mar 2021
Categorical Foundations of Gradient-Based Learning Geoffrey S. H. Cruttwell Bruno Gavranović Neil Ghani Paul W. Wilson Fabio Zanasi FedML 23 70 0 02 Mar 2021
VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference Steve Dai Rangharajan Venkatesan Haoxing Ren B. Zimmer W. Dally Brucek Khailany MQ 30 68 0 08 Feb 2021
Enabling Binary Neural Network Training on the Edge Erwei Wang James J. Davis Daniele Moro Piotr Zielinski Jia Jie Lim C. Coelho S. Chatterjee P. Cheung George A. Constantinides MQ 20 24 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 28 35 0 06 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
Reverse Derivative Ascent: A Categorical Approach to Learning Boolean Circuits Paul W. Wilson Fabio Zanasi 41 15 0 26 Jan 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 150 676 0 24 Jan 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search Hadjer Benmeziane Kaoutar El Maghraoui Hamza Ouarnoughi Smail Niar Martin Wistuba Naigang Wang 34 96 0 22 Jan 2021
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution Ying Nie Kai Han Zhenhua Liu Chunjing Xu Yunhe Wang OOD 39 22 0 21 Jan 2021
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks Karina Vasquez Yeshwanth Venkatesha Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda MQ 43 15 0 12 Jan 2021
I-BERT: Integer-only BERT Quantization Sehoon Kim A. Gholami Z. Yao Michael W. Mahoney Kurt Keutzer MQ 107 344 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 27 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 Muhammad Shafique BDL 59 140 0 21 Dec 2020