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On Information Plane Analyses of Neural Network Classifiers -- A Review

On Information Plane Analyses of Neural Network Classifiers -- A Review

21 March 2020
Bernhard C. Geiger
ArXivPDFHTML

Papers citing "On Information Plane Analyses of Neural Network Classifiers -- A Review"

10 / 10 papers shown
Title
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
Milad Sefidgaran
Abdellatif Zaidi
Piotr Krasnowski
44
0
0
25 Apr 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Milad Sefidgaran
A. Zaidi
Piotr Krasnowski
80
1
0
21 Feb 2025
Bridging Information-Theoretic and Geometric Compression in Language
  Models
Bridging Information-Theoretic and Geometric Compression in Language Models
Emily Cheng
Corentin Kervadec
Marco Baroni
24
16
0
20 Oct 2023
On the Effect of Pre-training for Transformer in Different Modality on
  Offline Reinforcement Learning
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning
S. Takagi
OffRL
13
7
0
17 Nov 2022
Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes
  Representation Learning
Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning
Thanh-Dung Le
R. Noumeir
J. Rambaud
Guillaume Sans
P. Jouvet
24
7
0
26 Sep 2022
Mutual information estimation for graph convolutional neural networks
Mutual information estimation for graph convolutional neural networks
Marius Cervera Landsverk
S. Riemer-Sørensen
SSL
GNN
17
1
0
31 Mar 2022
Examining and Combating Spurious Features under Distribution Shift
Examining and Combating Spurious Features under Distribution Shift
Chunting Zhou
Xuezhe Ma
Paul Michel
Graham Neubig
OOD
19
64
0
14 Jun 2021
A Survey on Neural Network Interpretability
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaML
XAI
137
656
0
28 Dec 2020
Understanding Autoencoders with Information Theoretic Concepts
Understanding Autoencoders with Information Theoretic Concepts
Shujian Yu
José C. Príncipe
AI4CE
41
132
0
30 Mar 2018
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,233
0
24 Jun 2017
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