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 / 461 papers shown

Title
Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques Sanjay Surendranath Girija Shashank Kapoor Lakshit Arora Dipen Pradhan Aman Raj Ankit Shetgaonkar 57 0 0 05 May 2025
BackSlash: Rate Constrained Optimized Training of Large Language Models Jun Wu Jiangtao Wen Yuxing Han 39 0 0 23 Apr 2025
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning Sanghwan Bae Jiwoo Hong Min Young Lee Hanbyul Kim Jeongyeon Nam Donghyun Kwak OffRL LRM 53 0 0 04 Apr 2025
Machine Learning-assisted High-speed Combinatorial Optimization with Ising Machines for Dynamically Changing Problems Yohei Hamakawa Tomoya Kashimata Masaya Yamasaki Kosuke Tatsumura AI4CE 42 0 0 31 Mar 2025
10K is Enough: An Ultra-Lightweight Binarized Network for Infrared Small-Target Detection Biqiao Xin Qianchen Mao Bingshu Wang Jiangbin Zheng Yong Zhao C. L. P. Chen MQ 64 0 0 04 Mar 2025
On Space Folds of ReLU Neural Networks Michal Lewandowski Hamid Eghbalzadeh Bernhard Heinzl Raphael Pisoni Bernhard A.Moser MLT 87 1 0 17 Feb 2025
Contrastive Representation Distillation via Multi-Scale Feature Decoupling Cuipeng Wang Tieyuan Chen Haipeng Wang 54 0 0 09 Feb 2025
HadamRNN: Binary and Sparse Ternary Orthogonal RNNs Armand Foucault Franck Mamalet François Malgouyres MQ 83 0 0 28 Jan 2025
Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation Tse-Wei Chen Wei Tao Dongyue Zhao Kazuhiro Mima Tadayuki Ito Kinya Osa Masami Kato MQ 36 0 0 03 Jan 2025
Data Generation for Hardware-Friendly Post-Training Quantization Lior Dikstein Ariel Lapid Arnon Netzer H. Habi MQ 190 0 0 29 Oct 2024
Self-Masking Networks for Unsupervised Adaptation Alfonso Taboada Warmerdam Mathilde Caron Yuki M. Asano 49 1 0 11 Sep 2024
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity Kanghyun Choi Hyeyoon Lee Dain Kwon Sunjong Park Kyuyeun Kim Noseong Park Jinho Lee Jinho Lee MQ 50 1 0 29 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Pham Hoang Anh Dung Cuong C. Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do MQ 44 0 0 20 Jul 2024
Quality Scalable Quantization Methodology for Deep Learning on Edge S. Khaliq Rehan Hafiz MQ 46 1 0 15 Jul 2024
Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization Jianting Yang Srecko Ðurasinovic Jean B. Lasserre Victor Magron Jun Zhao AAML 41 1 0 27 May 2024
BOLD: Boolean Logic Deep Learning Van Minh Nguyen Cristian Ocampo Aymen Askri Louis Leconte Ba-Hien Tran AI4CE 40 0 0 25 May 2024
Neural Network Compression for Reinforcement Learning Tasks Dmitry A. Ivanov D. Larionov Oleg V. Maslennikov V. Voevodin OffRL AI4CE 48 0 0 13 May 2024
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review Federico Nicolás Peccia Oliver Bringmann 36 0 0 06 May 2024
Designed Dithering Sign Activation for Binary Neural Networks Brayan Monroy Juan Estupiñán T. Gelvez-Barrera Jorge Bacca Henry Arguello MQ 35 1 0 03 May 2024
Hard ASH: Sparsity and the right optimizer make a continual learner Santtu Keskinen CLL 42 1 0 26 Apr 2024
AdaQAT: Adaptive Bit-Width Quantization-Aware Training Cédric Gernigon Silviu-Ioan Filip Olivier Sentieys Clément Coggiola Mickael Bruno 23 2 0 22 Apr 2024
Deep Learning with Parametric Lenses Geoffrey S. H. Cruttwell Bruno Gavranović Neil Ghani Paul W. Wilson Fabio Zanasi 33 2 0 30 Mar 2024
Binarized Low-light Raw Video Enhancement Gengchen Zhang Yulun Zhang Xin Yuan Ying Fu MQ 34 4 0 29 Mar 2024
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking Jialin Li Qiang Nie Weifu Fu Yuhuan Lin Guangpin Tao Yong-Jin Liu Chengjie Wang 38 4 0 07 Mar 2024
Quantized Embedding Vectors for Controllable Diffusion Language Models Cheng Kang Xinye Chen Yong Hu Daniel Novak 31 0 0 15 Feb 2024
Towards Equipping Transformer with the Ability of Systematic Compositionality Chen Huang Peixin Qin Wenqiang Lei Jiancheng Lv 27 1 0 12 Dec 2023
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off Sachit Kuhar Yash Jain Alexey Tumanov MQ 54 0 0 04 Dec 2023
Federated learning compression designed for lightweight communications Lucas Grativol Ribeiro Mathieu Léonardon Guillaume Muller Virginie Fresse Matthieu Arzel FedML 32 3 0 23 Oct 2023
Learning Interpretable Rules for Scalable Data Representation and Classification Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 30 7 0 22 Oct 2023
NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search Edouard Yvinec Arnaud Dapogny Kévin Bailly MQ 24 6 0 10 Aug 2023
Quantized Feature Distillation for Network Quantization Kevin Zhu Yin He Jianxin Wu MQ 29 9 0 20 Jul 2023
Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer Zhun Yang Adam Ishay Joohyung Lee 35 9 0 10 Jul 2023
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators Zhun Yang Joohyung Lee Chi-youn Park 25 19 0 10 Jul 2023
Learning Discrete Weights and Activations Using the Local Reparameterization Trick G. Berger Aviv Navon Ethan Fetaya MQ 22 0 0 04 Jul 2023
MobileNMT: Enabling Translation in 15MB and 30ms Ye Lin Xiaohui Wang Zhexi Zhang Mingxuan Wang Tong Xiao Jingbo Zhu MQ 30 1 0 07 Jun 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 94 32 0 29 Apr 2023
A priori compression of convolutional neural networks for wave simulators Hamza Boukraichi N. Akkari F. Casenave David Ryckelynck 18 2 0 11 Apr 2023
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks Cheng Gong Ye Lu Surong Dai Deng Qian Chenkun Du Tao Li MQ 29 0 0 07 Apr 2023
System-status-aware Adaptive Network for Online Streaming Video Understanding Lin Geng Foo Jia Gong Zhipeng Fan Xiaozhong Liu AI4TS 32 15 0 28 Mar 2023
Architecturing Binarized Neural Networks for Traffic Sign Recognition Andreea Postovan Madalina Erascu 30 4 0 27 Mar 2023
Mathematical Challenges in Deep Learning V. Nia Guojun Zhang I. Kobyzev Michael R. Metel Xinlin Li ... S. Hemati M. Asgharian Linglong Kong Wulong Liu Boxing Chen AI4CE VLM 37 1 0 24 Mar 2023
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU W. Zhao Qi Sun Yang Bai Wenbo Li Haisheng Zheng Bei Yu Martin D. F. Wong SupR 44 8 0 16 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning S Chandra Mouli M. A. Alam Bruno Ribeiro OOD 29 4 0 06 Mar 2023
Scalable Object Detection on Embedded Devices Using Weight Pruning and Singular Value Decomposition D. Ham Jaeyeop Jeong June-Kyoo Park Raehyeon Jeong S. Jeon Hyeongjun Jeon Ye-Eun Lim 14 0 0 05 Mar 2023
Fixed-point quantization aware training for on-device keyword-spotting Sashank Macha Om Oza Alex Escott Francesco Calivá Robert M. Armitano S. Cheekatmalla S. Parthasarathi Yuzong Liu MQ 21 4 0 04 Mar 2023
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference Deepika Bablani J. McKinstry S. K. Esser R. Appuswamy D. Modha MQ 23 4 0 30 Jan 2023
The Hidden Power of Pure 16-bit Floating-Point Neural Networks Juyoung Yun Byungkon Kang Zhoulai Fu MQ 26 1 0 30 Jan 2023
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient Max Ryabinin Tim Dettmers Michael Diskin Alexander Borzunov MoE 30 31 0 27 Jan 2023
Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm Dounia Lakhmiri Mahdi Zolnouri V. Nia C. Tribes Sébastien Le Digabel 28 0 0 17 Jan 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 21 1 0 15 Jan 2023