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Explainable Face Verification via Feature-Guided Gradient Backpropagation

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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

Explainable Face Verification via Feature-Guided Gradient Backpropagation

Graph Chatbot

Chattez avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Understanding generalization and robustness in modern deep learning

Revisiting Character-level Adversarial Attacks for Language Models

Towards Visual Saliency Explanations of Face Verification

Discriminative Deep Feature Visualization for Explainable Face Recognition

Hamiltonian Deep Neural Networks Guaranteeing Non-Vanishing Gradients by Design

Generalization Properties of NAS under Activation and Skip Connection Search

Improving the Training of Compact Neural Networks for Visual Recognition

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Approximating Relu Networks By Single-Spike Computation

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Understanding generalization and robustness in modern deep learning

Hamiltonian Deep Neural Networks Guaranteeing Non-Vanishing Gradients by Design

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Discriminative Deep Feature Visualization for Explainable Face Recognition

Improving the Training of Compact Neural Networks for Visual Recognition

Revisiting Character-level Adversarial Attacks for Language Models

Generalization Properties of NAS under Activation and Skip Connection Search

Towards Visual Saliency Explanations of Face Verification

Approximating Relu Networks By Single-Spike Computation