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MLP Based Hierarchical System for Task Adaptation in ASR

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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

MLP Based Hierarchical System for Task Adaptation in ASR

Graph Chatbot

Chattez avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Benign Overfitting in Deep Neural Networks under Lazy Training

An exact mapping from ReLU networks to spiking neural networks

Learning multivariate new physics

Mixed-Precision Deep Learning Based on Computational Memory

Disentangling feature and lazy training in deep neural networks

Biologically plausible deep learning – but how far can we go with shallow networks?

On Learning to Identify Genders from Raw Speech Signal Using CNNs

Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation

In Situ Calibration of Low-cost Air Quality Sensors using Artificial Neural Network

Benign Overfitting in Deep Neural Networks under Lazy Training

Deep Learning Theory Through the Lens of Diagonal Linear Networks

On Learning to Identify Genders from Raw Speech Signal Using CNNs

In Situ Calibration of Low-cost Air Quality Sensors using Artificial Neural Network

An exact mapping from ReLU networks to spiking neural networks

Learning multivariate new physics

Disentangling feature and lazy training in deep neural networks

Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation

Biologically plausible deep learning – but how far can we go with shallow networks?

Mixed-Precision Deep Learning Based on Computational Memory