Publications associées à Penalising the biases in norm regularisation enforces sparsity

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.

Network Simplification: the Gaussian N-Relay Diamond Network

Christina Fragouli, Ayfer Özgür Aydin

We consider the Gaussian

N

-relay diamond network, where a source wants to communicate to a destination through a layer of

N

-relay nodes. We investigate the following question: What fraction of the capacity can we maintain by using only

k

out of the $ ...

2010

Penalising the biases in norm regularisation enforces sparsity

Graph Chatbot

Chattez avec Graph Search

When Neurons Fail - Technical Report

Learning to Assign Orientations to Feature Points

Recurrent Convolutional Neural Networks for Scene Labeling

Recurrent Convolutional Neural Networks for Scene Parsing

On Neural Networks’ Ability to Approximate Geometrical Variation Propagation in Assembly

On Neural Networks’ Ability to Approximate Geometrical Variation Propagation in Assembly

Improving Object Classification using Pose Information

MERIS observations of phytoplankton blooms in a stratified eutrophic lake

Training Distributed Neural Networks by Consensus

Network Simplification: the Gaussian N-Relay Diamond Network

Recurrent Convolutional Neural Networks for Scene Labeling

MERIS observations of phytoplankton blooms in a stratified eutrophic lake

Learning to Assign Orientations to Feature Points

On Neural Networks’ Ability to Approximate Geometrical Variation Propagation in Assembly

On Neural Networks’ Ability to Approximate Geometrical Variation Propagation in Assembly

Recurrent Convolutional Neural Networks for Scene Parsing

Training Distributed Neural Networks by Consensus

Network Simplification: the Gaussian N-Relay Diamond Network

Improving Object Classification using Pose Information

When Neurons Fail - Technical Report