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Synthesizing Irreproducibility in Deep Networks

Synthesizing Irreproducibility in Deep Networks

21 February 2021
R. Snapp
G. Shamir
    OOD
ArXivPDFHTML

Papers citing "Synthesizing Irreproducibility in Deep Networks"

5 / 5 papers shown
Title
On the Factory Floor: ML Engineering for Industrial-Scale Ads
  Recommendation Models
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models
Rohan Anil
S. Gadanho
Danya Huang
Nijith Jacob
Zhuoshu Li
...
Cristina Pop
Kevin Regan
G. Shamir
Rakesh Shivanna
Qiqi Yan
3DV
13
41
0
12 Sep 2022
Randomness In Neural Network Training: Characterizing The Impact of
  Tooling
Randomness In Neural Network Training: Characterizing The Impact of Tooling
Donglin Zhuang
Xingyao Zhang
S. Song
Sara Hooker
20
75
0
22 Jun 2021
Anti-Distillation: Improving reproducibility of deep networks
Anti-Distillation: Improving reproducibility of deep networks
G. Shamir
Lorenzo Coviello
34
20
0
19 Oct 2020
Large scale distributed neural network training through online
  distillation
Large scale distributed neural network training through online distillation
Rohan Anil
Gabriel Pereyra
Alexandre Passos
Róbert Ormándi
George E. Dahl
Geoffrey E. Hinton
FedML
267
404
0
09 Apr 2018
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
270
5,660
0
05 Dec 2016
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