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Routing Networks and the Challenges of Modular and Compositional
  Computation

Routing Networks and the Challenges of Modular and Compositional Computation

29 April 2019
Clemens Rosenbaum
Ignacio Cases
Matthew D Riemer
Tim Klinger
ArXivPDFHTML

Papers citing "Routing Networks and the Challenges of Modular and Compositional Computation"

22 / 22 papers shown
Title
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
R. Teo
Tan M. Nguyen
MoE
31
3
0
18 Oct 2024
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing
Sagi Shaier
Francisco Pereira
K. Wense
Lawrence E Hunter
Matt Jones
MoE
46
0
0
10 Oct 2024
Breaking Neural Network Scaling Laws with Modularity
Breaking Neural Network Scaling Laws with Modularity
Akhilan Boopathy
Sunshine Jiang
William Yue
Jaedong Hwang
Abhiram Iyer
Ila Fiete
OOD
36
2
0
09 Sep 2024
Revisiting Single-gated Mixtures of Experts
Revisiting Single-gated Mixtures of Experts
Amelie Royer
I. Karmanov
Andrii Skliar
B. Bejnordi
Tijmen Blankevoort
MoE
MoMe
28
6
0
11 Apr 2023
Reusable Slotwise Mechanisms
Reusable Slotwise Mechanisms
Trang Nguyen
Amin Mansouri
Kanika Madan
Khuong N. Nguyen
Kartik Ahuja
Dianbo Liu
Yoshua Bengio
OCL
28
4
0
21 Feb 2023
Learning Label Modular Prompts for Text Classification in the Wild
Learning Label Modular Prompts for Text Classification in the Wild
Hailin Chen
Amrita Saha
Shafiq R. Joty
Steven C. H. Hoi
OOD
VLM
13
5
0
30 Nov 2022
A Short Survey of Systematic Generalization
A Short Survey of Systematic Generalization
Yuanpeng Li
AI4CE
27
1
0
22 Nov 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
Andrew M. Saxe
Shagun Sodhani
Sam Lewallen
AI4CE
28
34
0
21 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
24
27
0
15 Jul 2022
Continual Learning for Multivariate Time Series Tasks with Variable
  Input Dimensions
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions
Vibhor Gupta
Jyoti Narwariya
Pankaj Malhotra
L. Vig
Gautam M. Shroff
AI4TS
19
20
0
14 Mar 2022
Unified Scaling Laws for Routed Language Models
Unified Scaling Laws for Routed Language Models
Aidan Clark
Diego de Las Casas
Aurelia Guy
A. Mensch
Michela Paganini
...
Oriol Vinyals
Jack W. Rae
Erich Elsen
Koray Kavukcuoglu
Karen Simonyan
MoE
27
177
0
02 Feb 2022
All-In-One: Artificial Association Neural Networks
All-In-One: Artificial Association Neural Networks
Seokjun Kim
Jaeeun Jang
Hyeoncheol Kim
19
0
0
31 Oct 2021
Dynamic Inference with Neural Interpreters
Dynamic Inference with Neural Interpreters
Nasim Rahaman
Muhammad Waleed Gondal
S. Joshi
Peter V. Gehler
Yoshua Bengio
Francesco Locatello
Bernhard Schölkopf
31
31
0
12 Oct 2021
Discrete-Valued Neural Communication
Discrete-Valued Neural Communication
Dianbo Liu DianboLiu
Alex Lamb
Kenji Kawaguchi
Anirudh Goyal
Chen Sun
Michael C. Mozer
Yoshua Bengio
23
50
0
06 Jul 2021
Scaling Vision with Sparse Mixture of Experts
Scaling Vision with Sparse Mixture of Experts
C. Riquelme
J. Puigcerver
Basil Mustafa
Maxim Neumann
Rodolphe Jenatton
André Susano Pinto
Daniel Keysers
N. Houlsby
MoE
12
575
0
10 Jun 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Anirudh Goyal
Aniket Didolkar
Nan Rosemary Ke
Charles Blundell
Philippe Beaudoin
N. Heess
Michael C. Mozer
Yoshua Bengio
OCL
44
82
0
02 Mar 2021
Are Neural Nets Modular? Inspecting Functional Modularity Through
  Differentiable Weight Masks
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
Róbert Csordás
Sjoerd van Steenkiste
Jürgen Schmidhuber
21
87
0
05 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
16
608
0
10 Sep 2020
A Study of Compositional Generalization in Neural Models
A Study of Compositional Generalization in Neural Models
Tim Klinger
D. Adjodah
Vincent Marois
Joshua Joseph
Matthew D Riemer
Alex Pentland
Murray Campbell
CoGe
NAI
10
12
0
16 Jun 2020
Multi-Task Reinforcement Learning with Soft Modularization
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang
Huazhe Xu
Yi Wu
Xiaolong Wang
22
174
0
30 Mar 2020
Reinforcement Learning with Competitive Ensembles of
  Information-Constrained Primitives
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
Anirudh Goyal
Shagun Sodhani
Jonathan Binas
Xue Bin Peng
Sergey Levine
Yoshua Bengio
14
47
0
25 Jun 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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