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2011.07343
Cited By

Representing Deep Neural Networks Latent Space Geometries with Graphs

Representing Deep Neural Networks Latent Space Geometries with Graphs

14 November 2020

Carlos Lassance

Vincent Gripon

ArXiv (abs)PDF HTML

Papers citing "Representing Deep Neural Networks Latent Space Geometries with Graphs"

6 / 6 papers shown

Improving Fine-Tuning with Latent Cluster Correction

Improving Fine-Tuning with Latent Cluster Correction

Cédric Ho Thanh

283

0

0

21 Jan 2025

Variational autoencoders with latent high-dimensional steady geometric flows for dynamics

Variational autoencoders with latent high-dimensional steady geometric flows for dynamics

801

1

0

03 Jan 2025

Canonical normalizing flows for manifold learning

Canonical normalizing flows for manifold learningNeural Information Processing Systems (NeurIPS), 2023

Kyriakos Flouris

618

16

0

19 Oct 2023

Latent Spectral Regularization for Continual Learning

Latent Spectral Regularization for Continual LearningPattern Recognition Letters (PR), 2023

Emanuele Frascaroli

Riccardo Benaglia

Matteo Boschini

Emanuele Rodolà

Simone Calderara

434

11

0

09 Jan 2023

Channel redundancy and overlap in convolutional neural networks with
channel-wise NNK graphs

Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs

Javier Ruiz-Hidalgo

Sarath Shekkizhar

192

8

0

18 Oct 2021

Channel-Wise Early Stopping without a Validation Set via NNK Polytope
Interpolation

Channel-Wise Early Stopping without a Validation Set via NNK Polytope InterpolationAsia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2021

Javier Ruiz-Hidalgo

Sarath Shekkizhar

218

18

0

27 Jul 2021

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