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Pathologies of Predictive Diversity in Deep Ensembles

Pathologies of Predictive Diversity in Deep Ensembles

1 February 2023
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
John P. Cunningham
    UQCV
ArXivPDFHTML

Papers citing "Pathologies of Predictive Diversity in Deep Ensembles"

14 / 14 papers shown
Title
Entropy-regularized Gradient Estimators for Approximate Bayesian Inference
Entropy-regularized Gradient Estimators for Approximate Bayesian Inference
Jasmeet Kaur
BDL
UQCV
70
0
0
15 Mar 2025
Theoretical Limitations of Ensembles in the Age of Overparameterization
Theoretical Limitations of Ensembles in the Age of Overparameterization
Niclas Dern
John P. Cunningham
Geoff Pleiss
BDL
UQCV
29
0
0
21 Oct 2024
The Disparate Benefits of Deep Ensembles
The Disparate Benefits of Deep Ensembles
Kajetan Schweighofer
Adrián Arnaiz-Rodríguez
Sepp Hochreiter
Nuria Oliver
FedML
20
1
0
17 Oct 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
T. Pouplin
Alan Jeffares
Nabeel Seedat
Mihaela van der Schaar
50
3
0
05 Jun 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Rishabh Ranjan
Saurabh Garg
Mrigank Raman
Carlos Guestrin
Zachary Chase Lipton
34
0
0
11 Apr 2024
How Good is a Single Basin?
How Good is a Single Basin?
Kai Lion
Lorenzo Noci
Thomas Hofmann
Gregor Bachmann
UQCV
18
2
0
05 Feb 2024
Joint Training of Deep Ensembles Fails Due to Learner Collusion
Joint Training of Deep Ensembles Fails Due to Learner Collusion
Alan Jeffares
Tennison Liu
Jonathan Crabbé
M. Schaar
FedML
34
15
0
26 Jan 2023
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear
  Modulation
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
Mehmet Özgür Türkoglu
Alexander Becker
H. Gündüz
Mina Rezaei
Bernd Bischl
Rodrigo Caye Daudt
Stefano Dáronco
Jan Dirk Wegner
Konrad Schindler
FedML
UQCV
30
25
0
31 May 2022
Diversify and Disambiguate: Learning From Underspecified Data
Diversify and Disambiguate: Learning From Underspecified Data
Yoonho Lee
Huaxiu Yao
Chelsea Finn
203
64
0
07 Feb 2022
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy
  Regime
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
Stéphane dÁscoli
Maria Refinetti
Giulio Biroli
Florent Krzakala
83
152
0
02 Mar 2020
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
187
473
0
12 Jun 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
268
5,652
0
05 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
268
10,214
0
16 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,237
0
25 Aug 2016
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