The High-Dimensional Geometry of Binary Neural Networks

19 May 2017

Papers citing "The High-Dimensional Geometry of Binary Neural Networks"

20 / 20 papers shown

Title
Unsupervised detection of semantic correlations in big data Santiago Acevedo Alex Rodriguez A. Laio 70 2 0 04 Nov 2024
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks Louis Leconte S. Schechtman Eric Moulines 29 4 0 07 Nov 2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets Zhaopeng Tu Xinghao Chen Pengju Ren Yunhe Wang MQ 36 54 0 17 Aug 2022
Mixture-of-Rookies: Saving DNN Computations by Predicting ReLU Outputs D. Pinto J. Arnau Antonio González 31 1 0 10 Feb 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges Denis Kleyko D. Rachkovskij Evgeny Osipov A. Rahim 24 126 0 12 Nov 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
A Configurable BNN ASIC using a Network of Programmable Threshold Logic Standard Cells Ankit Wagle S. Khatri S. Vrudhula 16 8 0 04 Apr 2021
Least squares binary quantization of neural networks Hadi Pouransari Zhucheng Tu Oncel Tuzel MQ 17 32 0 09 Jan 2020
Resource-Efficient Neural Networks for Embedded Systems Wolfgang Roth Günther Schindler Lukas Pfeifenberger Robert Peharz Sebastian Tschiatschek Holger Fröning Franz Pernkopf Zoubin Ghahramani 31 47 0 07 Jan 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 34 73 0 07 Jan 2020
Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks Denis Kleyko Mansour Kheffache E. P. Frady U. Wiklund Evgeny Osipov 19 45 0 19 Sep 2019
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks Jibin Wu Yansong Chua Malu Zhang Guoqi Li Haizhou Li Kay Chen Tan 24 14 0 02 Jul 2019
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization K. Helwegen James Widdicombe Lukas Geiger Zechun Liu K. Cheng Roeland Nusselder MQ 27 110 0 05 Jun 2019
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 29 230 0 13 Aug 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? Shilin Zhu Xin Dong Hao Su MQ 22 135 0 20 Jun 2018
Scalable Methods for 8-bit Training of Neural Networks Ron Banner Itay Hubara Elad Hoffer Daniel Soudry MQ 37 331 0 25 May 2018
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks Chaim Baskin Eli Schwartz Evgenii Zheltonozhskii Natan Liss Raja Giryes A. Bronstein A. Mendelson MQ 14 45 0 29 Apr 2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory Ameya Prabhu Vishal Batchu Rohit Gajawada Sri Aurobindo Munagala A. Namboodiri MQ 27 18 0 11 Apr 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 337 1,049 0 10 Feb 2017
Neuromorphic Deep Learning Machines Emre Neftci C. Augustine Somnath Paul Georgios Detorakis BDL 129 257 0 16 Dec 2016