Probabilistic Binary Neural Networks

Probabilistic Binary Neural Networks

10 September 2018

Jorn W. T. Peters

Papers citing "Probabilistic Binary Neural Networks"

18 / 18 papers shown

Title
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation Yue Xiang Dongyao Zhu Bowen Lei Dongkuan Xu Ruqi Zhang 26 5 0 27 Feb 2023
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks Louis Leconte S. Schechtman Eric Moulines 29 4 0 07 Nov 2022
Nonlocal optimization of binary neural networks Amir Khoshaman Giuseppe Castiglione C. Srinivasa 18 0 0 05 Apr 2022
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation J. Rock Wolfgang Roth Máté Tóth Paul Meissner Franz Pernkopf 19 43 0 25 Jan 2022
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 8 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 22 7 0 11 Apr 2021
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks T. Bannink Arash Bakhtiari Adam Hillier Lukas Geiger T. D. Bruin Leon Overweel J. Neeven K. Helwegen 3DV MQ 13 36 0 18 Nov 2020
Quantum Deformed Neural Networks Roberto Bondesan Max Welling AI4CE 15 4 0 21 Oct 2020
VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter Ayman Boustati Nikolas Nusken Francisco J. R. Ruiz Ömer Deniz Akyildiz DRL 136 48 0 20 Oct 2020
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks Alexander Shekhovtsov V. Yanush B. Flach MQ 37 10 0 04 Jun 2020
Training Binary Neural Networks using the Bayesian Learning Rule Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 30 40 0 25 Feb 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
Bit Efficient Quantization for Deep Neural Networks Prateeth Nayak David C. Zhang S. Chai MQ 27 43 0 07 Oct 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 19 500 0 11 Jun 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
Progressive Stochastic Binarization of Deep Networks David Hartmann Michael Wand MQ 12 1 0 03 Apr 2019
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 30 131 0 03 Oct 2018
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network Xuanqing Liu Yao Li Chongruo Wu Cho-Jui Hsieh AAML OOD 19 171 0 01 Oct 2018