Deep Frank-Wolfe for neural network optimization

Deep Frank-Wolfe for neural network optimization

Pokaż inne wersje (1)

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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Berrada, L, Zisserman, A, Kumar, MP
Format:	Internet publication
Język:	English
Wydane:	arXiv 2018

Podobne zapisy

Deep Frank-Wolfe for neural network optimization
od: Berrada, L, i wsp.
Wydane: (2019)

Training neural networks for and by interpolation
od: Berrada, L, i wsp.
Wydane: (2020)

Riemannian Optimization via Frank-Wolfe Methods
od: Weber, Melanie, i wsp.
Wydane: (2022)

Riemannian optimization via Frank-Wolfe methods
od: Weber, M, i wsp.
Wydane: (2022)

New analysis and results for the Frank–Wolfe method
od: Freund, Robert Michael, i wsp.
Wydane: (2016)

Smooth loss functions for deep top-k classification
od: Berrada, L, i wsp.
Wydane: (2018)

Smooth loss functions for deep top-k classification
od: Berrada, L, i wsp.
Wydane: (2018)

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

Generalized stochastic Frank–Wolfe algorithm with stochastic “substitute” gradient for structured convex optimization
od: Lu, Haihao, i wsp.
Wydane: (2021)

A generalized Frank–Wolfe method with “dual averaging” for strongly convex composite optimization
od: Zhao, Renbo, i wsp.
Wydane: (2022)

Analysis of the Frank–Wolfe method for convex composite optimization involving a logarithmically-homogeneous barrier
od: Zhao, Renbo, i wsp.
Wydane: (2022)

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

Improved Deep Neural Network for OFDM Signal Recognition Using Hybrid Grey Wolf Optimization
od: Yan Zhang, i wsp.
Wydane: (2020-01-01)

Improved local models and new Bell inequalities via Frank-Wolfe algorithms
od: Sébastien Designolle, i wsp.
Wydane: (2023-10-01)

Trusting SVM for piecewise linear CNNs
od: Berrada, L, i wsp.
Wydane: (2016)

Trusting SVM for piecewise linear CNNs
od: Berrada, L, i wsp.
Wydane: (2017)

An Improved Grey Wolf Optimization-based Learning of Artificial Neural Network for Medical Data Classification
od: Kumar, Narender, i wsp.
Wydane: (2021)

AN IMPROVED GREY WOLF OPTIMIZATION-BASED LEARNING OF ARTIFICIAL NEURAL NETWORK FOR MEDICAL DATA CLASSIFICATION
od: Narender Kumar, i wsp.
Wydane: (2021-02-01)

An ensemble of neural network and modified grey wolf optimizer for stock prediction
od: Das, Debashish
Wydane: (2019)

An Extended Frank--Wolfe Method with “In-Face” Directions, and Its Application to Low-Rank Matrix Completion
od: Grigas, Paul, i wsp.
Wydane: (2018)

Customer Churn Modeling via the Grey Wolf Optimizer and Ensemble Neural Networks
od: Maryam Rahmaty, i wsp.
Wydane: (2022-01-01)

A Frank–Wolfe Progressive Hedging Algorithm for Improved Lower Bounds in Stochastic SCUC
od: Ananth M. Palani, i wsp.
Wydane: (2019-01-01)

A multi hidden recurrent neural network with a modified grey wolf optimizer.
od: Tarik A Rashid, i wsp.
Wydane: (2019-01-01)

Trained neural networking framework based skin cancer diagnosis and categorization using grey wolf optimization
od: Amit Kumar K., i wsp.
Wydane: (2024-04-01)

Estimates of Energy Consumption Using Neural Networks with the Grey Wolf Optimizer Algorithm for Turkey
od: Ergun UZLU
Wydane: (2019-06-01)

Control Application of Wolf Group Optimization Convolutional Neural Network in Ship Virtual Manufacturing
od: XIAO Shi-long, WU Di, TANG Chao-chen, SHEN Xian-hao, ZHANG De-yu
Wydane: (2021-10-01)

Grey Wolf Optimization-based Neural Network for Deaf and Mute Sign Language Recognition: Survey
od: Hussein Zahraa A., i wsp.
Wydane: (2024-01-01)

Leveraging structure for optimization in deep learning
od: Berrada, L
Wydane: (2019)

Learner Emotional Value Recognition Technology: An Artificial Neural Network Optimized by the Grey Wolf Algorithm
od: Qi Chen
Wydane: (2023-01-01)

Transformer Fault Diagnosis Model Based on Improved Gray Wolf Optimizer and Probabilistic Neural Network
od: Yichen Zhou, i wsp.
Wydane: (2021-05-01)

Electrical Impedance Tomography Based on Grey Wolf Optimized Radial Basis Function Neural Network
od: Guanghua Wang, i wsp.
Wydane: (2022-07-01)

Fault Detection in HVDC System with Gray Wolf Optimization Algorithm Based on Artificial Neural Network
od: Raad Salih Jawad, i wsp.
Wydane: (2022-10-01)

Deepwater Oil-Based Drilling Fluid Systembased on Grey Wolf Optimized BP neural network
od: Sui Dianjie, i wsp.
Wydane: (2022-01-01)

An artificial neural network optimized by grey wolf optimizer for prediction of hourly wind speed in Tamil Nadu, India
od: Ahmet Cevahir Cinar, i wsp.
Wydane: (2022-11-01)

An optimized model based on adaptive convolutional neural network and grey wolf algorithm for breast cancer diagnosis.
od: Khaled Alnowaiser, i wsp.
Wydane: (2024-01-01)

Hybrid Whale and Gray Wolf Deep Learning Optimization Algorithm for Prediction of Alzheimer’s Disease
od: Chitradevi Dhakhinamoorthy, i wsp.
Wydane: (2023-02-01)

Optimizing Cardiovascular Disease Prediction: A Synergistic Approach of Grey Wolf Levenberg Model and Neural Networks
od: Sheikh Amir Fayaz Fayaz, i wsp.
Wydane: (2023-11-01)

Short-Term Solar Power Forecasting via General Regression Neural Network with Grey Wolf Optimization
od: Chia-Sheng Tu, i wsp.
Wydane: (2022-09-01)

Identifikasi Ekspresi Wajah Manusia Menggunakan Algoritma Grey Wolf Optimizer dan Convolutional Neural Network
od: Ni’matur Rohim, i wsp.
Wydane: (2024-04-01)

PID Control Model Based on Back Propagation Neural Network Optimized by Adversarial Learning-Based Grey Wolf Optimization
od: Huaiqin Liu, i wsp.
Wydane: (2023-04-01)