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Scaling Ensemble Distribution Distillation to Many Classes with Proxy
  Targets

Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets

14 May 2021
Max Ryabinin
A. Malinin
Mark Gales
    UQCV
ArXivPDFHTML

Papers citing "Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets"

14 / 14 papers shown
Title
Training independent subnetworks for robust prediction
Training independent subnetworks for robust prediction
Marton Havasi
Rodolphe Jenatton
Stanislav Fort
Jeremiah Zhe Liu
Jasper Snoek
Balaji Lakshminarayanan
Andrew M. Dai
Dustin Tran
UQCV
OOD
71
211
0
13 Oct 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
254
1,715
0
29 Jun 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep
  Learning
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning
Arsenii Ashukha
Alexander Lyzhov
Dmitry Molchanov
Dmitry Vetrov
UQCV
FedML
64
315
0
15 Feb 2020
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
174
1,454
0
16 Jul 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian
  Active Learning
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Andreas Kirsch
Joost R. van Amersfoort
Y. Gal
FedML
51
624
0
19 Jun 2019
Fixing the train-test resolution discrepancy
Fixing the train-test resolution discrepancy
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
102
423
0
14 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive
  Uncertainty Under Dataset Shift
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Yaniv Ovadia
Emily Fertig
Jie Jessie Ren
Zachary Nado
D. Sculley
Sebastian Nowozin
Joshua V. Dillon
Balaji Lakshminarayanan
Jasper Snoek
UQCV
137
1,677
0
06 Jun 2019
Albumentations: fast and flexible image augmentations
Albumentations: fast and flexible image augmentations
A. Buslaev
Alex Parinov
Eugene Khvedchenya
V. Iglovikov
Alexandr A Kalinin
118
1,958
0
18 Sep 2018
Scaling Neural Machine Translation
Scaling Neural Machine Translation
Myle Ott
Sergey Edunov
David Grangier
Michael Auli
AIMat
159
612
0
01 Jun 2018
A Call for Clarity in Reporting BLEU Scores
A Call for Clarity in Reporting BLEU Scores
Matt Post
81
2,941
0
23 Apr 2018
Predictive Uncertainty Estimation via Prior Networks
Predictive Uncertainty Estimation via Prior Networks
A. Malinin
Mark Gales
UD
BDL
EDL
UQCV
PER
165
907
0
28 Feb 2018
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection
  Methods
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
103
1,851
0
20 May 2017
Neural Machine Translation of Rare Words with Subword Units
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
157
7,683
0
31 Aug 2015
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
113
6,619
0
22 Dec 2012
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