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. 2003.04881
  4. Cited By
Pruned Neural Networks are Surprisingly Modular
v1v2v3v4v5v6 (latest)

Pruned Neural Networks are Surprisingly Modular

10 March 2020
Daniel Filan
Shlomi Hod
Cody Wild
Andrew Critch
Stuart J. Russell
ArXiv (abs)PDFHTML

Papers citing "Pruned Neural Networks are Surprisingly Modular"

6 / 6 papers shown
Modularity in Transformers: Investigating Neuron Separability &
  Specialization
Modularity in Transformers: Investigating Neuron Separability & Specialization
Nicholas Pochinkov
Thomas Jones
Mohammed Rashidur Rahman
179
0
0
30 Aug 2024
Out of spuriousity: Improving robustness to spurious correlations
  without group annotations
Out of spuriousity: Improving robustness to spurious correlations without group annotations
Phuong Quynh Le
Jorg Schlotterer
Christin Seifert
CMLOOD
190
4
0
20 Jul 2024
Data-driven Modeling in Metrology -- A Short Introduction, Current
  Developments and Future Perspectives
Data-driven Modeling in Metrology -- A Short Introduction, Current Developments and Future Perspectives
Linda-Sophie Schneider
Patrick Krauss
N. Schiering
Christopher Syben
Richard Schielein
Andreas Maier
AI4CE
179
9
0
24 Jun 2024
Known Operator Learning and Hybrid Machine Learning in Medical Imaging
  -- A Review of the Past, the Present, and the Future
Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the FutureProgress in Biomedical Engineering (PBE), 2021
Andreas K. Maier
Harald Kostler
M. Heisig
P. Krauss
S. Yang
MedIm
244
36
0
10 Aug 2021
Are Neural Nets Modular? Inspecting Functional Modularity Through
  Differentiable Weight Masks
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight MasksInternational Conference on Learning Representations (ICLR), 2020
Róbert Csordás
Sjoerd van Steenkiste
Jürgen Schmidhuber
350
109
0
05 Oct 2020
Activation Functions: Do They Represent A Trade-Off Between Modular
  Nature of Neural Networks And Task Performance
Activation Functions: Do They Represent A Trade-Off Between Modular Nature of Neural Networks And Task Performance
H. P. Aswani
Amit Sethi
CVBM
97
0
0
16 Sep 2020
1
Page 1 of 1