ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1810.02440
  4. Cited By
Dynamics and Reachability of Learning Tasks
v1v2 (latest)

Dynamics and Reachability of Learning Tasks

4 October 2018
Alessandro Achille
G. Mbeng
Stefano Soatto
ArXiv (abs)PDFHTML

Papers citing "Dynamics and Reachability of Learning Tasks"

6 / 6 papers shown
An Information-Geometric Distance on the Space of Tasks
An Information-Geometric Distance on the Space of TasksInternational Conference on Machine Learning (ICML), 2020
Yansong Gao
Pratik Chaudhari
209
22
0
01 Nov 2020
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
338
2
0
11 Jan 2020
Phase Transitions for the Information Bottleneck in Representation
  Learning
Phase Transitions for the Information Bottleneck in Representation LearningInternational Conference on Learning Representations (ICLR), 2020
Tailin Wu
Ian S. Fischer
DRL
251
31
0
07 Jan 2020
Learnability for the Information Bottleneck
Learnability for the Information BottleneckConference on Uncertainty in Artificial Intelligence (UAI), 2019
Tailin Wu
Ian S. Fischer
Isaac L. Chuang
Max Tegmark
132
43
0
17 Jul 2019
Where is the Information in a Deep Neural Network?
Where is the Information in a Deep Neural Network?
Alessandro Achille
Giovanni Paolini
Stefano Soatto
396
91
0
29 May 2019
The Information Complexity of Learning Tasks, their Structure and their
  Distance
The Information Complexity of Learning Tasks, their Structure and their Distance
Alessandro Achille
Giovanni Paolini
G. Mbeng
Stefano Soatto
143
58
0
05 Apr 2019
1
Page 1 of 1