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Feature Space Particle Inference for Neural Network Ensembles

Feature Space Particle Inference for Neural Network Ensembles

2 June 2022
Shingo Yashima
Teppei Suzuki
Kohta Ishikawa
Ikuro Sato
Rei Kawakami
    BDL
ArXiv (abs)PDFHTMLGithub (5★)

Papers citing "Feature Space Particle Inference for Neural Network Ensembles"

6 / 6 papers shown
Title
Scalable Ensemble Diversification for OOD Generalization and Detection
Scalable Ensemble Diversification for OOD Generalization and Detection
Alexander Rubinstein
Luca Scimeca
Damien Teney
Seong Joon Oh
BDLOOD
501
1
0
25 Sep 2024
Something for (almost) nothing: Improving deep ensemble calibration
  using unlabeled data
Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data
Konstantinos Pitas
Julyan Arbel
BDLUQCVFedML
61
0
0
04 Oct 2023
Push: Concurrent Probabilistic Programming for Bayesian Deep Learning
Push: Concurrent Probabilistic Programming for Bayesian Deep Learning
Daniel Huang
Christian Camaño
Jonathan Tsegaye
Jonathan Austin Gale
AI4CE
82
0
0
10 Jun 2023
Input-gradient space particle inference for neural network ensembles
Input-gradient space particle inference for neural network ensembles
Trung Trinh
Markus Heinonen
Luigi Acerbi
Samuel Kaski
UQCV
75
4
0
05 Jun 2023
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world
  Datasets
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets
Damien Teney
Yong Lin
Seong Joon Oh
Ehsan Abbasnejad
OOD
633
50
0
01 Sep 2022
Predicting is not Understanding: Recognizing and Addressing
  Underspecification in Machine Learning
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning
Damien Teney
Maxime Peyrard
Ehsan Abbasnejad
115
29
0
06 Jul 2022
1