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Sparse MoEs meet Efficient Ensembles

Sparse MoEs meet Efficient Ensembles

7 October 2021
J. Allingham
F. Wenzel
Zelda E. Mariet
Basil Mustafa
J. Puigcerver
N. Houlsby
Ghassen Jerfel
Vincent Fortuin
Balaji Lakshminarayanan
Jasper Snoek
Dustin Tran
Carlos Riquelme Ruiz
Rodolphe Jenatton
    MoE
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Papers citing "Sparse MoEs meet Efficient Ensembles"

8 / 8 papers shown
Title
Associative Transformer
Associative Transformer
Yuwei Sun
H. Ochiai
Zhirong Wu
Stephen Lin
Ryota Kanai
ViT
41
0
0
22 Sep 2023
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt
  Ensembling in Text-Image Models
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
J. Allingham
Jie Jessie Ren
Michael W. Dusenberry
Xiuye Gu
Yin Cui
Dustin Tran
J. Liu
Balaji Lakshminarayanan
LLMAG
VLM
8
32
0
13 Feb 2023
On the Adversarial Robustness of Mixture of Experts
On the Adversarial Robustness of Mixture of Experts
J. Puigcerver
Rodolphe Jenatton
C. Riquelme
Pranjal Awasthi
Srinadh Bhojanapalli
OOD
AAML
MoE
17
18
0
19 Oct 2022
An Optimal Likelihood Free Method for Biological Model Selection
An Optimal Likelihood Free Method for Biological Model Selection
Vincent D. Zaballa
E. Hui
14
0
0
03 Aug 2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data
Wide Mean-Field Bayesian Neural Networks Ignore the Data
Beau Coker
W. Bruinsma
David R. Burt
Weiwei Pan
Finale Doshi-Velez
UQCV
BDL
32
21
0
23 Feb 2022
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
239
626
0
21 Apr 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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
9,042
0
06 Jun 2015
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