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 / 488 papers shown

Title
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 36 11 0 06 Apr 2022
DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation Yu Tang Chenyu Wang Yufan Zhang Yuliang Liu Xingcheng Zhang Linbo Qiao Zhiquan Lai Dongsheng Li 21 4 0 30 Mar 2022
Compression of Generative Pre-trained Language Models via Quantization Chaofan Tao Lu Hou Wei Zhang Lifeng Shang Xin Jiang Qun Liu Ping Luo Ngai Wong MQ 38 103 0 21 Mar 2022
Data-Efficient Structured Pruning via Submodular Optimization Marwa El Halabi Suraj Srinivas Simon Lacoste-Julien 20 18 0 09 Mar 2022
Standard Deviation-Based Quantization for Deep Neural Networks Amir Ardakani A. Ardakani B. Meyer J. Clark W. Gross MQ 52 1 0 24 Feb 2022
Rare Gems: Finding Lottery Tickets at Initialization Kartik K. Sreenivasan Jy-yong Sohn Liu Yang Matthew Grinde Alliot Nagle Hongyi Wang Eric P. Xing Kangwook Lee Dimitris Papailiopoulos 30 42 0 24 Feb 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search Chunhui Zhang Xiaoming Yuan Qianyun Zhang Guangxu Zhu Lei Cheng Ning Zhang FedML OOD 23 15 0 23 Feb 2022
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels C. Sarvani Mrinmoy Ghorai S. Dubey S. H. Shabbeer Basha VLM 39 37 0 22 Feb 2022
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks Sina Shahhosseini Dongjoo Seo A. Kanduri Tianyi Hu Sung-Soo Lim Bryan Donyanavard Amir M.Rahmani N. Dutt 27 17 0 21 Feb 2022
Bit-wise Training of Neural Network Weights Cristian Ivan MQ 18 0 0 19 Feb 2022
Quantization in Layer's Input is Matter Daning Cheng Wenguang Chen MQ 11 0 0 10 Feb 2022
Lightweight Jet Reconstruction and Identification as an Object Detection Task Adrian Alan Pol T. Aarrestad E. Govorkova Roi Halily Anat Klempner ... Vladimir Loncar J. Ngadiuba M. Pierini Olya Sirkin S. Summers 27 2 0 09 Feb 2022
Energy awareness in low precision neural networks Nurit Spingarn-Eliezer Ron Banner Elad Hoffer Hilla Ben-Yaacov T. Michaeli 38 0 0 06 Feb 2022
Robust Binary Models by Pruning Randomly-initialized Networks Chen Liu Ziqi Zhao Sabine Süsstrunk Mathieu Salzmann TPM AAML MQ 32 4 0 03 Feb 2022
On-Sensor Binarized Fully Convolutional Neural Network with A Pixel Processor Array Yanan Liu Laurie Bose Yao Lu Piotr Dudek Walterio W. Mayol-Cuevas 16 0 0 02 Feb 2022
Signing the Supermask: Keep, Hide, Invert Nils Koster O. Grothe Achim Rettinger 31 10 0 31 Jan 2022
Post-training Quantization for Neural Networks with Provable Guarantees Jinjie Zhang Yixuan Zhou Rayan Saab MQ 23 32 0 26 Jan 2022
Training Quantized Deep Neural Networks via Cooperative Coevolution Fu Peng Shengcai Liu Ning Lu Ke Tang MQ 26 1 0 23 Dec 2021
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting Yang Lin I. Koprinska Mashud Rana BDL AI4TS 26 31 0 19 Dec 2021
Elastic-Link for Binarized Neural Network Jie Hu Ziheng Wu Vince Tan Zhilin Lu Mengze Zeng Enhua Wu MQ 30 6 0 19 Dec 2021
Controlling the Quality of Distillation in Response-Based Network Compression Vibhas Kumar Vats David J. Crandall 20 1 0 19 Dec 2021
Approximation of functions with one-bit neural networks C. S. Güntürk Weilin Li 19 8 0 16 Dec 2021
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics Zudi Lin D. Wei J. Lichtman Hanspeter Pfister 32 22 0 10 Dec 2021
Neural Network Quantization for Efficient Inference: A Survey Olivia Weng MQ 28 23 0 08 Dec 2021
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks Huu Le R. Høier Che-Tsung Lin Christopher Zach 55 17 0 06 Dec 2021
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons Fangshuo Liao Anastasios Kyrillidis 49 16 0 05 Dec 2021
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation Zechun Liu Kwang-Ting Cheng Dong Huang Eric P. Xing Zhiqiang Shen MQ 25 103 0 29 Nov 2021
Mixed Precision Low-bit Quantization of Neural Network Language Models for Speech Recognition Junhao Xu Jianwei Yu Shoukang Hu Xunying Liu Helen Meng MQ 30 13 0 29 Nov 2021
Mixed Precision of Quantization of Transformer Language Models for Speech Recognition Junhao Xu Shoukang Hu Jianwei Yu Xunying Liu Helen M. Meng MQ 40 15 0 29 Nov 2021
Mesa: A Memory-saving Training Framework for Transformers Zizheng Pan Peng Chen Haoyu He Jing Liu Jianfei Cai Bohan Zhuang 31 20 0 22 Nov 2021
Self-Compression in Bayesian Neural Networks Giuseppina Carannante Dimah Dera Ghulam Rasool N. Bouaynaya UQCV BDL 36 5 0 10 Nov 2021
Learned Image Compression for Machine Perception Felipe Codevilla Jean-Gabriel Simard Ross Goroshin C. Pal 27 20 0 03 Nov 2021
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA Sung-En Chang Yanyu Li Mengshu Sun Yanzhi Wang Xue Lin MQ 6 1 0 30 Oct 2021
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations Louis Fortier-Dubois Gaël Letarte Benjamin Leblanc Franccois Laviolette Pascal Germain UQCV 17 0 0 28 Oct 2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes Sanghyun Hong Michael-Andrei Panaitescu-Liess Yigitcan Kaya Tudor Dumitras MQ 60 13 0 26 Oct 2021
Demystifying and Generalizing BinaryConnect Abhishek Sharma Yaoliang Yu Eyyub Sari Mahdi Zolnouri V. Nia MQ 22 8 0 25 Oct 2021
Signature-Graph Networks Ali Hamdi Flora D. Salim D. Kim Xiaojun Chang 21 1 0 22 Oct 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements Dahyun Kim Kunal Pratap Singh Jonghyun Choi MQ 46 7 0 16 Oct 2021
8-bit Optimizers via Block-wise Quantization Tim Dettmers M. Lewis Sam Shleifer Luke Zettlemoyer MQ 34 273 0 06 Oct 2021
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method Guhyun Kim D. Jeong MQ 47 2 0 06 Oct 2021
Communication-Efficient Federated Learning with Binary Neural Networks YuZhi Yang Zhaoyang Zhang Qianqian Yang FedML 32 31 0 05 Oct 2021
Scalable Rule-Based Representation Learning for Interpretable Classification Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 37 61 0 30 Sep 2021
Towards Efficient Post-training Quantization of Pre-trained Language Models Haoli Bai Lu Hou Lifeng Shang Xin Jiang Irwin King M. Lyu MQ 82 47 0 30 Sep 2021
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 25 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