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Are Neural Nets Modular? Inspecting Functional Modularity Through
  Differentiable Weight Masks

Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks

5 October 2020
Róbert Csordás
Sjoerd van Steenkiste
Jürgen Schmidhuber
ArXivPDFHTML

Papers citing "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks"

20 / 70 papers shown
Title
Advancing Model Pruning via Bi-level Optimization
Advancing Model Pruning via Bi-level Optimization
Yihua Zhang
Yuguang Yao
Parikshit Ram
Pu Zhao
Tianlong Chen
Min-Fong Hong
Yanzhi Wang
Sijia Liu
44
68
0
08 Oct 2022
Learning Modular Structures That Generalize Out-of-Distribution
Learning Modular Structures That Generalize Out-of-Distribution
Arjun Ashok
Chaitanya Devaguptapu
V. Balasubramanian
OOD
14
1
0
07 Aug 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of
  Deep Neural Networks
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Raukur
A. Ho
Stephen Casper
Dylan Hadfield-Menell
AAML
AI4CE
23
124
0
27 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
29
27
0
15 Jul 2022
Memory-Based Model Editing at Scale
Memory-Based Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Christopher D. Manning
Chelsea Finn
KELM
24
318
0
13 Jun 2022
Is a Modular Architecture Enough?
Is a Modular Architecture Enough?
Sarthak Mittal
Yoshua Bengio
Guillaume Lajoie
32
47
0
06 Jun 2022
Pruning for Feature-Preserving Circuits in CNNs
Pruning for Feature-Preserving Circuits in CNNs
Christopher Hamblin
Talia Konkle
G. Alvarez
20
2
0
03 Jun 2022
Clustering units in neural networks: upstream vs downstream information
Clustering units in neural networks: upstream vs downstream information
Richard D. Lange
David Rolnick
Konrad Paul Kording
14
10
0
22 Mar 2022
Neural Network Module Decomposition and Recomposition
Neural Network Module Decomposition and Recomposition
Hiroaki Kingetsu
Kenichi Kobayashi
Taiji Suzuki
19
10
0
25 Dec 2021
Sparse Interventions in Language Models with Differentiable Masking
Sparse Interventions in Language Models with Differentiable Masking
Nicola De Cao
Leon Schmid
Dieuwke Hupkes
Ivan Titov
35
27
0
13 Dec 2021
Inducing Causal Structure for Interpretable Neural Networks
Inducing Causal Structure for Interpretable Neural Networks
Atticus Geiger
Zhengxuan Wu
Hanson Lu
J. Rozner
Elisa Kreiss
Thomas F. Icard
Noah D. Goodman
Christopher Potts
CML
OOD
24
70
0
01 Dec 2021
Continual Learning via Local Module Composition
Continual Learning via Local Module Composition
O. Ostapenko
Pau Rodríguez López
Massimo Caccia
Laurent Charlin
KELM
CLL
34
66
0
15 Nov 2021
The Devil is in the Detail: Simple Tricks Improve Systematic
  Generalization of Transformers
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers
Róbert Csordás
Kazuki Irie
Jürgen Schmidhuber
ViT
28
128
0
26 Aug 2021
Visual Representation Learning Does Not Generalize Strongly Within the
  Same Domain
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Lukas Schott
Julius von Kügelgen
Frederik Trauble
Peter V. Gehler
Chris Russell
Matthias Bethge
Bernhard Schölkopf
Francesco Locatello
Wieland Brendel
OOD
DRL
35
66
0
17 Jul 2021
Modularity in Reinforcement Learning via Algorithmic Independence in
  Credit Assignment
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
Michael Chang
Sid Kaushik
Sergey Levine
Thomas L. Griffiths
18
8
0
28 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution
  Generalization?
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?
Dinghuai Zhang
Kartik Ahuja
Yilun Xu
Yisen Wang
Aaron Courville
OOD
20
95
0
05 Jun 2021
Dynamics of specialization in neural modules under resource constraints
Dynamics of specialization in neural modules under resource constraints
Gabriel Béna
Dan F. M. Goodman
26
0
0
04 Jun 2021
Efficient and robust multi-task learning in the brain with modular
  latent primitives
Efficient and robust multi-task learning in the brain with modular latent primitives
Christian David Márton
Léo Gagnon
Guillaume Lajoie
Kanaka Rajan
17
6
0
28 May 2021
Editing Factual Knowledge in Language Models
Editing Factual Knowledge in Language Models
Nicola De Cao
Wilker Aziz
Ivan Titov
KELM
45
473
0
16 Apr 2021
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
224
254
0
09 Dec 2020
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