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A Differential Entropy Estimator for Training Neural Networks

A Differential Entropy Estimator for Training Neural Networks

14 February 2022
Georg Pichler
Pierre Colombo
Malik Boudiaf
Günther Koliander
Pablo Piantanida
ArXivPDFHTML

Papers citing "A Differential Entropy Estimator for Training Neural Networks"

15 / 15 papers shown
Title
SymmetryLens: A new candidate paradigm for unsupervised symmetry
  learning via locality and equivariance
SymmetryLens: A new candidate paradigm for unsupervised symmetry learning via locality and equivariance
Onur Efe
Arkadas Ozakin
29
0
0
07 Oct 2024
Beyond the Norms: Detecting Prediction Errors in Regression Models
Beyond the Norms: Detecting Prediction Errors in Regression Models
A. Altieri
Marco Romanelli
Georg Pichler
F. Alberge
Pablo Piantanida
41
0
0
11 Jun 2024
Predictability Analysis of Regression Problems via Conditional Entropy
  Estimations
Predictability Analysis of Regression Problems via Conditional Entropy Estimations
Yu-Hsueh Fang
Chia-Yen Lee
17
1
0
06 Jun 2024
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
Julius Vetter
Guy Moss
Cornelius Schroder
Richard Gao
Jakob H. Macke
37
3
0
12 Feb 2024
REMEDI: Corrective Transformations for Improved Neural Entropy
  Estimation
REMEDI: Corrective Transformations for Improved Neural Entropy Estimation
Viktor Nilsson
Anirban Samaddar
Sandeep Madireddy
Pierre Nyquist
11
2
0
08 Feb 2024
Robust Concept Erasure via Kernelized Rate-Distortion Maximization
Robust Concept Erasure via Kernelized Rate-Distortion Maximization
Somnath Basu Roy Chowdhury
Nicholas Monath
Kumar Avinava Dubey
Amr Ahmed
Snigdha Chaturvedi
19
4
0
30 Nov 2023
Toward Stronger Textual Attack Detectors
Toward Stronger Textual Attack Detectors
Pierre Colombo
Marine Picot
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
41
5
0
21 Oct 2023
Measuring Information in Text Explanations
Measuring Information in Text Explanations
Zining Zhu
Frank Rudzicz
FAtt
19
0
0
06 Oct 2023
Minimum Description Length Clustering to Measure Meaningful Image
  Complexity
Minimum Description Length Clustering to Measure Meaningful Image Complexity
Louis Mahon
Thomas Lukasiewicz
19
7
0
26 Jun 2023
The Representation Jensen-Shannon Divergence
The Representation Jensen-Shannon Divergence
J. Hoyos-Osorio
Santiago Posso-Murillo
L. S. Giraldo
40
6
0
25 May 2023
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection
Maxime Darrin
Guillaume Staerman
Eduardo Dadalto Camara Gomes
Jackie CK Cheung
Pablo Piantanida
Pierre Colombo
OODD
43
11
0
20 Feb 2023
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Pierre Colombo
Eduardo Dadalto Camara Gomes
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
OODD
41
5
0
24 Nov 2022
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation
  of Story Generation
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation
Cyril Chhun
Pierre Colombo
Chloé Clavel
Fabian M. Suchanek
53
50
0
24 Aug 2022
Mixout: Effective Regularization to Finetune Large-scale Pretrained
  Language Models
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
Cheolhyoung Lee
Kyunghyun Cho
Wanmo Kang
MoE
246
205
0
25 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,956
0
20 Apr 2018
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