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Pareto-optimal data compression for binary classification tasks
v1v2 (latest)

Pareto-optimal data compression for binary classification tasks

23 August 2019
Max Tegmark
Tailin Wu
ArXiv (abs)PDFHTML

Papers citing "Pareto-optimal data compression for binary classification tasks"

5 / 5 papers shown
Title
Understanding Encoder-Decoder Structures in Machine Learning Using
  Information Measures
Understanding Encoder-Decoder Structures in Machine Learning Using Information Measures
Jorge F. Silva
Victor Faraggi
Camilo Ramírez
Álvaro F. Egaña
Eduardo Pavez
54
1
0
30 May 2024
Pareto-optimal clustering with the primal deterministic information
  bottleneck
Pareto-optimal clustering with the primal deterministic information bottleneck
Andrew K. Tan
Max Tegmark
I. Chuang
21
3
0
05 Apr 2022
Studying the Interplay between Information Loss and Operation Loss in
  Representations for Classification
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
Jorge F. Silva
Felipe A. Tobar
Mario L. Vicuna
Felipe Cordova
44
2
0
30 Dec 2021
Intelligence, physics and information -- the tradeoff between accuracy
  and simplicity in machine learning
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning
Tailin Wu
121
1
0
11 Jan 2020
Phase Transitions for the Information Bottleneck in Representation
  Learning
Phase Transitions for the Information Bottleneck in Representation Learning
Tailin Wu
Ian S. Fischer
DRL
80
29
0
07 Jan 2020
1