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Joint Training of Deep Ensembles Fails Due to Learner Collusion

Joint Training of Deep Ensembles Fails Due to Learner Collusion

26 January 2023
Alan Jeffares
Tennison Liu
Jonathan Crabbé
M. Schaar
    FedML
ArXivPDFHTML

Papers citing "Joint Training of Deep Ensembles Fails Due to Learner Collusion"

14 / 14 papers shown
Title
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
Yury Gorishniy
Akim Kotelnikov
Artem Babenko
LMTD
MoE
80
6
0
31 Oct 2024
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
24
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
18
1
0
17 Oct 2024
Dynamic Post-Hoc Neural Ensemblers
Dynamic Post-Hoc Neural Ensemblers
Sebastian Pineda Arango
Maciej Janowski
Lennart Purucker
Arber Zela
Frank Hutter
Josif Grabocka
UQCV
31
0
0
06 Oct 2024
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
Ankur Mahesh
William D. Collins
Boris Bonev
Noah D. Brenowitz
Y. Cohen
...
Michael S. Pritchard
David Pruitt
Mark Risser
Shashank Subramanian
Jared Willard
34
6
0
06 Aug 2024
Hierarchical and Decoupled BEV Perception Learning Framework for
  Autonomous Driving
Hierarchical and Decoupled BEV Perception Learning Framework for Autonomous Driving
Yuqi Dai
Jian-jun Sun
Shengbo Eben Li
Qing Xu
Jianqiang Wang
Lei He
Keqiang Li
24
2
0
17 Jul 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
41
3
0
05 Jun 2024
TANGOS: Regularizing Tabular Neural Networks through Gradient
  Orthogonalization and Specialization
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
Alan Jeffares
Tennison Liu
Jonathan Crabbé
F. Imrie
M. Schaar
CML
37
21
0
09 Mar 2023
Pathologies of Predictive Diversity in Deep Ensembles
Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
John P. Cunningham
UQCV
12
13
0
01 Feb 2023
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision
  Transformer
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta
Mohammad Rastegari
ViT
189
1,148
0
05 Oct 2021
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
A. Masegosa
S. Lorenzen
Christian Igel
Yevgeny Seldin
16
40
0
01 Jul 2020
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
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
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