Publications associées à Fonction softmax

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

Patrick Thiran, Negar Kiyavash, Saber Salehkaleybar

We study the performance of Stochastic Cubic Regularized Newton (SCRN) on a class of functions satisfying gradient dominance property with

1\le\alpha\le2

which holds in a wide range of applications in machine learning and signal processing. This conditio ...

NeurIPS2022

Fonction softmax

Graph Chatbot

Chattez avec Graph Search

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

Face Reconstruction Fromdeep Facial Embeddings Using A Convolutional Neural Network

Generalization Properties of NAS under Activation and Skip Connection Search

Binary Perceptron: Efficient Algorithms Can Find Solutions in a RareWell-Connected Cluster

Impulsive noise removal via a blind CNN enhanced by an iterative post-processing

Memory-Based Model Editing at Scale

STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization

Learning Lipschitz-Controlled Activation Functions in Neural Networks for Plug-and-Play Image Reconstruction Methods

Yapa: Accelerated Proximal Algorithm For Convex Composite Problems

Estimating an extreme Bayesian network via scalings

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

Generalization Properties of NAS under Activation and Skip Connection Search

Face Reconstruction Fromdeep Facial Embeddings Using A Convolutional Neural Network

Binary Perceptron: Efficient Algorithms Can Find Solutions in a RareWell-Connected Cluster

Impulsive noise removal via a blind CNN enhanced by an iterative post-processing

Memory-Based Model Editing at Scale

Estimating an extreme Bayesian network via scalings

Learning Lipschitz-Controlled Activation Functions in Neural Networks for Plug-and-Play Image Reconstruction Methods

STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization

Yapa: Accelerated Proximal Algorithm For Convex Composite Problems