Publication

CNN based Query by Example Spoken Term Detection

Publications associées (51)

Graph Chatbot

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.

Connectez-vous pour utiliser Chat avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Scott William Pesme

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

2

-layer diagonal linear networks. This rudimentary architecture, which consists of a two layer feedforward linear network with a diagonal ...

EPFL2024

CNN based Query by Example Spoken Term Detection

Graph Chatbot

Chattez avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Deep Learning Generalization with Limited and Noisy Labels

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

On double-descent in uncertainty quantification in overparametrized models

Learned Compressive Representations for Single-Photon 3D Imaging

Neural tensor contractions and the expressive power of deep neural quantum states

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Deep Learning Generalization with Limited and Noisy Labels

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

Generalization of Scaled Deep ResNets in the Mean-Field Regime

On double-descent in uncertainty quantification in overparametrized models

Learned Compressive Representations for Single-Photon 3D Imaging

Neural tensor contractions and the expressive power of deep neural quantum states

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study