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Learning to Compose SuperWeights for Neural Parameter Allocation Search

Learning to Compose SuperWeights for Neural Parameter Allocation Search

3 December 2023
Piotr Teterwak
Soren Nelson
Nikoli Dryden
D. Bashkirova
Kate Saenko
Bryan A. Plummer
ArXivPDFHTML

Papers citing "Learning to Compose SuperWeights for Neural Parameter Allocation Search"

4 / 4 papers shown
Title
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters
Chau Pham
Piotr Teterwak
Soren Nelson
Bryan A. Plummer
9
3
0
07 Nov 2023
Neural Relational Inference with Fast Modular Meta-learning
Neural Relational Inference with Fast Modular Meta-learning
Ferran Alet
Erica Weng
Tomás Lozano Pérez
L. Kaelbling
45
55
0
10 Oct 2023
Mixture-of-Experts with Expert Choice Routing
Mixture-of-Experts with Expert Choice Routing
Yan-Quan Zhou
Tao Lei
Han-Chu Liu
Nan Du
Yanping Huang
Vincent Zhao
Andrew M. Dai
Zhifeng Chen
Quoc V. Le
James Laudon
MoE
147
326
0
18 Feb 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1