A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering

30 June 2021

Lars Schmarje

M. Santarossa

Simon-Martin Schroder

Papers citing "A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering"

35 / 35 papers shown

Title
Beyond Hard Labels: Investigating data label distributions Vasco Grossmann Lars Schmarje Reinhard Koch 43 11 0 13 Jul 2022
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation Lars Schmarje Vasco Grossmann Claudius Zelenka S. Dippel R. Kiko ... M. Pastell J. Stracke A. Valros N. Volkmann Reinahrd Koch 69 36 0 13 Jul 2022
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy Lars Schmarje Johannes Brunger M. Santarossa Simon-Martin Schroder R. Kiko Reinhard Koch 82 17 0 13 Oct 2021
Life is not black and white -- Combining Semi-Supervised Learning with fuzzy labels Lars Schmarje Reinhard Koch 72 2 0 13 Oct 2021
A Data-Centric Approach for Training Deep Neural Networks with Less Data Mohammad Motamedi Nikolay Sakharnykh T. Kaldewey 63 67 0 07 Oct 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data Yonglong Tian Olivier J. Hénaff Aaron van den Oord SSL 101 97 0 17 May 2021
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces A. S. Rawat A. Menon Wittawat Jitkrittum Sadeep Jayasumana Felix X. Yu Sashank J. Reddi Sanjiv Kumar 44 9 0 12 May 2021
Deep learning with self-supervision and uncertainty regularization to count fish in underwater images Penny Tarling M. Cantor Albert Clapés Sergio Escalera 92 35 0 30 Apr 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 239 2,321 0 04 Mar 2021
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning Byoungjip Kim Jinho Choo Yeong-Dae Kwon Seongho Joe Seungjai Min Youngjune Gwon SSL 60 52 0 16 Jan 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 457 144 0 13 Jan 2021
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 92 979 0 16 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 191 4,051 0 17 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 299 6,718 0 13 Jun 2020
Are we done with ImageNet? Lucas Beyer Olivier J. Hénaff Alexander Kolesnikov Xiaohua Zhai Aaron van den Oord VLM 114 398 0 12 Jun 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool VLM SSL 101 535 0 25 May 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 333 662 0 23 Mar 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher Guosheng Lin NoLa 86 1,021 0 18 Feb 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 149 3,524 0 21 Jan 2020
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints Marek Śmieja Lukasz Struski Mário A. T. Figueiredo 34 37 0 18 Jan 2020
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey G. Algan ilkay Ulusoy NoLa VLM 55 327 0 11 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 76 538 0 05 Dec 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 252 2,380 0 11 Nov 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 108 759 0 27 Aug 2019
Human uncertainty makes classification more robust Joshua C. Peterson Ruairidh M. Battleday Thomas Griffiths Olga Russakovsky OOD 41 299 0 19 Aug 2019
2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy Lars Schmarje Claudius Zelenka U. Geisen C. Glüer Reinhard Koch 3DH 46 19 0 30 Jul 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 128 3,009 0 06 May 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 127 716 0 25 Jan 2019
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 76 846 0 17 Jul 2018
Deep Clustering for Unsupervised Learning of Visual Features Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze SSL 83 1,878 0 15 Jul 2018
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation Alain Jungo Raphael Meier E. Ermiş Marcela Blatti-Moreno Evelyn Herrmann Roland Wiest M. Reyes UQCV 47 97 0 07 Jun 2018
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 222 5,774 0 14 Jun 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 314 27,018 0 20 Mar 2017
Deep Label Distribution Learning with Label Ambiguity Bin-Bin Gao Chao Xing Chen-Wei Xie Jianxin Wu Xin Geng 48 425 0 06 Nov 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 177 2,543 0 07 Oct 2016