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On Last-Layer Algorithms for Classification: Decoupling Representation
  from Uncertainty Estimation

On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation

22 January 2020
N. Brosse
C. Riquelme
Alice Martin
Sylvain Gelly
Eric Moulines
    BDLOODUQCV
ArXiv (abs)PDFHTML

Papers citing "On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation"

24 / 24 papers shown
Partial Trace-Class Bayesian Neural Networks
Partial Trace-Class Bayesian Neural Networks
Arran Carter
Torben Sell
UQCVBDL
358
0
0
03 Nov 2025
Bayesian Active Learning for Semantic Segmentation
Bayesian Active Learning for Semantic Segmentation
Sima Didari
Wenjun Hu
Jae Oh Woo
Heng Hao
Hankyu Moon
Seungjai Min
402
5
0
03 Aug 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty
  from Pre-trained Models
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
Gianni Franchi
Olivier Laurent
Maxence Leguéry
Andrei Bursuc
Andrea Pilzer
Angela Yao
UQCVBDL
230
17
0
23 Dec 2023
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review
Ivo Pascal de Jong
A. Sburlea
Matias Valdenegro-Toro
394
5
0
15 Nov 2023
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
A Symmetry-Aware Exploration of Bayesian Neural Network PosteriorsInternational Conference on Learning Representations (ICLR), 2023
Olivier Laurent
Emanuel Aldea
Gianni Franchi
BDLUQCV
316
11
0
12 Oct 2023
Last layer state space model for representation learning and uncertainty
  quantification
Last layer state space model for representation learning and uncertainty quantification
Max H. Cohen
M. Charbit
Sylvain Le Corff
UQCVBDL
236
1
0
04 Jul 2023
Density Uncertainty Layers for Reliable Uncertainty Estimation
Density Uncertainty Layers for Reliable Uncertainty EstimationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Yookoon Park
David M. Blei
UQCVBDL
214
7
0
21 Jun 2023
Guided Deep Kernel Learning
Guided Deep Kernel LearningConference on Uncertainty in Artificial Intelligence (UAI), 2023
Idan Achituve
Gal Chechik
Ethan Fetaya
BDL
322
7
0
19 Feb 2023
Variational Inference on the Final-Layer Output of Neural Networks
Variational Inference on the Final-Layer Output of Neural Networks
Yadi Wei
Roni Khardon
BDLUQCV
376
1
0
05 Feb 2023
On double-descent in uncertainty quantification in overparametrized
  models
On double-descent in uncertainty quantification in overparametrized modelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Lucas Clarté
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
UQCV
494
16
0
23 Oct 2022
Bayesian Learning for Disparity Map Refinement for Semi-Dense Active
  Stereo Vision
Bayesian Learning for Disparity Map Refinement for Semi-Dense Active Stereo Vision
Laurent Valentin Jospin
Hamid Laga
F. Boussaïd
Bennamoun
217
1
0
12 Sep 2022
Bayesian neural networks for the probabilistic forecasting of wind
  direction and speed using ocean data
Bayesian neural networks for the probabilistic forecasting of wind direction and speed using ocean data
M. Clare
M. Piggott
BDL
124
4
0
14 Jun 2022
Model Architecture Adaption for Bayesian Neural Networks
Model Architecture Adaption for Bayesian Neural Networks
Duo Wang
Yiren Zhao
Ilia Shumailov
Robert D. Mullins
UQCVOODBDL
102
0
0
09 Feb 2022
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in
  Deep Learning
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning
Runa Eschenhagen
Erik A. Daxberger
Philipp Hennig
Agustinus Kristiadi
UQCVBDL
199
28
0
05 Nov 2021
Neural density estimation and uncertainty quantification for laser
  induced breakdown spectroscopy spectra
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra
Katiana Kontolati
Natalie Klein
N. Panda
Diane Oyen
134
3
0
17 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix
Robust Semantic Segmentation with Superpixel-Mix
Gianni Franchi
Nacim Belkhir
Mai Lan Ha
Yufei Hu
Andrei Bursuc
V. Blanz
Angela Yao
UQCV
287
24
0
02 Aug 2021
Bayesian Neural Networks: Essentials
Bayesian Neural Networks: Essentials
Daniel T. Chang
UQCVBDL
211
15
0
22 Jun 2021
Active Learning in Bayesian Neural Networks with Balanced Entropy
  Learning Principle
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning PrincipleInternational Conference on Learning Representations (ICLR), 2021
J. Woo
308
14
0
30 May 2021
Deep Ensembles from a Bayesian Perspective
Deep Ensembles from a Bayesian Perspective
L. Hoffmann
Clemens Elster
UDBDLUQCV
316
46
0
27 May 2021
Learning Prediction Intervals for Model Performance
Learning Prediction Intervals for Model PerformanceAAAI Conference on Artificial Intelligence (AAAI), 2020
Benjamin Elder
Matthew Arnold
Anupama Murthi
Jirí Navrátil
160
12
0
15 Dec 2020
The Monte Carlo Transformer: a stochastic self-attention model for
  sequence prediction
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction
Alice Martin
Charles Ollion
Florian Strub
Sylvain Le Corff
Olivier Pietquin
187
7
0
15 Jul 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning UsersIEEE Computational Intelligence Magazine (IEEE CIM), 2020
Laurent Valentin Jospin
Wray Buntine
F. Boussaïd
Hamid Laga
Bennamoun
OODBDLUQCV
629
807
0
14 Jul 2020
Fast Predictive Uncertainty for Classification with Bayesian Deep
  Networks
Fast Predictive Uncertainty for Classification with Bayesian Deep NetworksConference on Uncertainty in Artificial Intelligence (UAI), 2020
Marius Hobbhahn
Agustinus Kristiadi
Philipp Hennig
BDLUQCV
464
40
0
02 Mar 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU NetworksInternational Conference on Machine Learning (ICML), 2020
Agustinus Kristiadi
Matthias Hein
Philipp Hennig
BDLUQCV
464
335
0
24 Feb 2020
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