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Conformal Credal Self-Supervised Learning

Conformal Credal Self-Supervised Learning

30 May 2022
Julian Lienen
Caglar Demir
Eyke Hüllermeier
ArXivPDFHTML

Papers citing "Conformal Credal Self-Supervised Learning"

10 / 10 papers shown
Title
Conformal Prediction Regions are Imprecise Highest Density Regions
Conformal Prediction Regions are Imprecise Highest Density Regions
Michele Caprio
Yusuf Sale
Eyke Hüllermeier
62
0
0
10 Feb 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
Kaizheng Wang
Keivan K1 Shariatmadar
Shireen Kudukkil Manchingal
Fabio Cuzzolin
David Moens
Hans Hallez
UQCV
BDL
92
12
0
28 Jan 2025
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Michele Caprio
David Stutz
Shuo Li
Arnaud Doucet
UQCV
64
4
0
07 Nov 2024
Kronecker Decomposition for Knowledge Graph Embeddings
Kronecker Decomposition for Knowledge Graph Embeddings
Caglar Demir
Julian Lienen
A. N. Ngomo
16
3
0
13 May 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
226
862
0
15 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,775
0
29 Apr 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
217
508
0
15 Jan 2021
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
253
656
0
23 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
185
497
0
08 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
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