Deep Frank-Wolfe for neural network optimization

Deep Frank-Wolfe for neural network optimization

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Learning a deep neural network requires solving a challenging optimization problem: it is a high-dimensional, non-convex and non-smooth minimization problem with a large number of terms. The current practice in neural network optimization is to rely on the stochastic gradient descent (SGD) algorithm...

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Bibliografiske detaljer
Main Authors:	Berrada, L, Zisserman, A, Kumar, MP
Format:	Internet publication
Sprog:	English
Udgivet:	arXiv 2018

Lignende værker

Deep Frank-Wolfe for neural network optimization
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Udgivet: (2019)

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Riemannian optimization via Frank-Wolfe methods
af: Weber, M, et al.
Udgivet: (2022)

New analysis and results for the Frank–Wolfe method
af: Freund, Robert Michael, et al.
Udgivet: (2016)

Smooth loss functions for deep top-k classification
af: Berrada, L, et al.
Udgivet: (2018)

Smooth loss functions for deep top-k classification
af: Berrada, L, et al.
Udgivet: (2018)

Investigating Frank-Wolfe-based demand forecasting methods
af: Soh, Chloe Sze Yee
Udgivet: (2024)

Generalized stochastic Frank–Wolfe algorithm with stochastic “substitute” gradient for structured convex optimization
af: Lu, Haihao, et al.
Udgivet: (2021)

A generalized Frank–Wolfe method with “dual averaging” for strongly convex composite optimization
af: Zhao, Renbo, et al.
Udgivet: (2022)

Analysis of the Frank–Wolfe method for convex composite optimization involving a logarithmically-homogeneous barrier
af: Zhao, Renbo, et al.
Udgivet: (2022)

Short Paper - A note on the Frank–Wolfe algorithm for a class of nonconvex and nonsmooth optimization problems
af: de Oliveira, Welington
Udgivet: (2023-01-01)

Improved Deep Neural Network for OFDM Signal Recognition Using Hybrid Grey Wolf Optimization
af: Yan Zhang, et al.
Udgivet: (2020-01-01)

Improved local models and new Bell inequalities via Frank-Wolfe algorithms
af: Sébastien Designolle, et al.
Udgivet: (2023-10-01)

Trusting SVM for piecewise linear CNNs
af: Berrada, L, et al.
Udgivet: (2016)

Trusting SVM for piecewise linear CNNs
af: Berrada, L, et al.
Udgivet: (2017)

An Improved Grey Wolf Optimization-based Learning of Artificial Neural Network for Medical Data Classification
af: Kumar, Narender, et al.
Udgivet: (2021)

AN IMPROVED GREY WOLF OPTIMIZATION-BASED LEARNING OF ARTIFICIAL NEURAL NETWORK FOR MEDICAL DATA CLASSIFICATION
af: Narender Kumar, et al.
Udgivet: (2021-02-01)

An ensemble of neural network and modified grey wolf optimizer for stock prediction
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Udgivet: (2019)

An Extended Frank--Wolfe Method with “In-Face” Directions, and Its Application to Low-Rank Matrix Completion
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Udgivet: (2018)

Customer Churn Modeling via the Grey Wolf Optimizer and Ensemble Neural Networks
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A Frank–Wolfe Progressive Hedging Algorithm for Improved Lower Bounds in Stochastic SCUC
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A multi hidden recurrent neural network with a modified grey wolf optimizer.
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Trained neural networking framework based skin cancer diagnosis and categorization using grey wolf optimization
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Estimates of Energy Consumption Using Neural Networks with the Grey Wolf Optimizer Algorithm for Turkey
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Control Application of Wolf Group Optimization Convolutional Neural Network in Ship Virtual Manufacturing
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Grey Wolf Optimization-based Neural Network for Deaf and Mute Sign Language Recognition: Survey
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Leveraging structure for optimization in deep learning
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Learner Emotional Value Recognition Technology: An Artificial Neural Network Optimized by the Grey Wolf Algorithm
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Transformer Fault Diagnosis Model Based on Improved Gray Wolf Optimizer and Probabilistic Neural Network
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Electrical Impedance Tomography Based on Grey Wolf Optimized Radial Basis Function Neural Network
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Fault Detection in HVDC System with Gray Wolf Optimization Algorithm Based on Artificial Neural Network
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Deepwater Oil-Based Drilling Fluid Systembased on Grey Wolf Optimized BP neural network
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An artificial neural network optimized by grey wolf optimizer for prediction of hourly wind speed in Tamil Nadu, India
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An optimized model based on adaptive convolutional neural network and grey wolf algorithm for breast cancer diagnosis.
af: Khaled Alnowaiser, et al.
Udgivet: (2024-01-01)

Hybrid Whale and Gray Wolf Deep Learning Optimization Algorithm for Prediction of Alzheimer’s Disease
af: Chitradevi Dhakhinamoorthy, et al.
Udgivet: (2023-02-01)

Optimizing Cardiovascular Disease Prediction: A Synergistic Approach of Grey Wolf Levenberg Model and Neural Networks
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Short-Term Solar Power Forecasting via General Regression Neural Network with Grey Wolf Optimization
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Udgivet: (2022-09-01)

Identifikasi Ekspresi Wajah Manusia Menggunakan Algoritma Grey Wolf Optimizer dan Convolutional Neural Network
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Udgivet: (2024-04-01)

PID Control Model Based on Back Propagation Neural Network Optimized by Adversarial Learning-Based Grey Wolf Optimization
af: Huaiqin Liu, et al.
Udgivet: (2023-04-01)