Conformal Credal Self-Supervised Learning

30 May 2022

Eyke Hüllermeier

Papers citing "Conformal Credal Self-Supervised Learning"

47 / 47 papers shown

Title
Conformal Prediction Regions are Imprecise Highest Density Regions Michele Caprio Yusuf Sale Eyke Hüllermeier 160 1 0 10 Feb 2025
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 230 13 0 28 Jan 2025
Conformalized Credal Regions for Classification with Ambiguous Ground Truth Michele Caprio David Stutz Shuo Li Arnaud Doucet UQCV 188 5 0 07 Nov 2024
Kronecker Decomposition for Knowledge Graph Embeddings Caglar Demir Julian Lienen A. N. Ngomo 56 3 0 13 May 2022
Valid inferential models for prediction in supervised learning problems Leonardo Cella Ryan Martin 47 21 0 19 Dec 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 323 890 0 15 Oct 2021
Convolutional Hypercomplex Embeddings for Link Prediction Caglar Demir Diego Moussallem Stefan Heindorf A. N. Ngomo 52 19 0 29 Jun 2021
Credal Self-Supervised Learning Julian Lienen Eyke Hüllermeier SSL 45 21 0 22 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 655 6,059 0 29 Apr 2021
Approximation to Object Conditional Validity with Inductive Conformal Predictors A. Bellotti 27 1 0 15 Feb 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 311 518 0 15 Jan 2021
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data Colin Wei Kendrick Shen Yining Chen Tengyu Ma SSL 75 230 0 07 Oct 2020
Self-training Improves Pre-training for Natural Language Understanding Jingfei Du Edouard Grave Beliz Gunel Vishrav Chaudhary Onur Çelebi Michael Auli Ves Stoyanov Alexis Conneau VLM LRM SSL 45 164 0 05 Oct 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Zhongzheng Ren Raymond A. Yeh Alex Schwing 100 97 0 02 Jul 2020
Self-Knowledge Distillation with Progressive Refinement of Targets Kyungyul Kim Byeongmoon Ji Doyoung Yoon Sangheum Hwang ODL 69 182 0 22 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 360 6,792 0 13 Jun 2020
Conformal Prediction: a Unified Review of Theory and New Challenges Matteo Fontana Gianluca Zeni S. Vantini 171 129 0 16 May 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 335 669 0 23 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 231 504 0 08 Mar 2020
Structured Prediction with Partial Labelling through the Infimum Loss Vivien A. Cabannes Alessandro Rudi Francis R. Bach 119 41 0 02 Mar 2020
Validity, consonant plausibility measures, and conformal prediction Leonardo Cella Ryan Martin 36 26 0 24 Jan 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 155 3,549 0 21 Jan 2020
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 304 2,386 0 11 Nov 2019
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 222 1,410 0 21 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 217 3,485 0 30 Sep 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 119 840 0 08 Aug 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 189 1,943 0 06 Jun 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 140 3,024 0 06 May 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 126 2,313 0 29 Apr 2019
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 105 914 0 30 Oct 2018
Convolutional 2D Knowledge Graph Embeddings Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel GNN 3DV 183 2,610 0 05 Jul 2017
EMNIST: an extension of MNIST to handwritten letters Gregory Cohen Saeed Afshar J. Tapson André van Schaik 63 720 0 17 Feb 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 314 8,114 0 13 Aug 2016
Complex Embeddings for Simple Link Prediction Théo Trouillon Johannes Welbl Sebastian Riedel Éric Gaussier Guillaume Bouchard BDL 88 2,970 0 20 Jun 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Tasdizen BDL 80 1,112 0 14 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 332 7,980 0 23 May 2016
Distribution-Free Predictive Inference For Regression Jing Lei M. G'Sell Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 399 841 0 14 Apr 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 222 2,325 0 21 Mar 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 872 27,350 0 02 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 813 9,302 0 06 Jun 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 164 2,781 0 19 May 2015
A Review of Relational Machine Learning for Knowledge Graphs Maximilian Nickel Kevin Patrick Murphy Volker Tresp E. Gabrilovich 171 1,574 0 02 Mar 2015
Embedding Entities and Relations for Learning and Inference in Knowledge Bases Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng NAI 93 3,192 0 20 Dec 2014
Learning with Pseudo-Ensembles Philip Bachman O. Alsharif Doina Precup 73 598 0 16 Dec 2014
Conditional validity of inductive conformal predictors V. Vovk 222 416 0 12 Sep 2012
$A Unifying Analysis of Projected Gradient Descent for $\ell_p$-constrained Least Squares$ A Unifying Analysis of Projected Gradient Descent for $\ell_p$ -constrained Least Squares S. Bahmani Bhiksha Raj 63 25 0 22 Jul 2011
A tutorial on conformal prediction Glenn Shafer V. Vovk 447 1,141 0 21 Jun 2007