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Diego Ortego

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Eric Arazo Sanchez

> Home > Persons > Diego Ortego

Publications

2022
[c14]
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  - conf/wacv/AlbertOAOM22
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  - https://dblp.org/rec/conf/wacv/AlbertOAOM22
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
Addressing out-of-distribution label noise in webly-labelled data. WACV 2022: 2393-2402
2021
[c12]
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  - electronic edition @ bmvc2021-virtualconference.com (open access)
  - no references & citations available
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  - conf/bmvc/ArazoOAOM21
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  - https://dblp.org/rec/conf/bmvc/ArazoOAOM21
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
How Important is Importance Sampling for Deep Budgeted Training? BMVC 2021: 335
[c11]
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  - conf/cvpr/OrtegoAAOM21
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Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Multi-Objective Interpolation Training for Robustness To Label Noise. CVPR 2021: 6606-6615
[c9]
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  - conf/ijcnn/AlbertOAOM21
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Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. IJCNN 2021: 1-8
[i9]
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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2110-13699
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Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
Addressing out-of-distribution label noise in webly-labelled data. CoRR abs/2110.13699 (2021)
[i8]
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  dblp key:
  - journals/corr/abs-2110-14283
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Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
How Important is Importance Sampling for Deep Budgeted Training? CoRR abs/2110.14283 (2021)
2020
[c8]
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  - conf/icpr/OrtegoAAOM20
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Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Towards Robust Learning with Different Label Noise Distributions. ICPR 2020: 7020-7027
[c7]
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  - conf/ijcnn/ArazoOAOM20
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Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. IJCNN 2020: 1-8
[i7]
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  - journals/corr/abs-2007-11866
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Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. CoRR abs/2007.11866 (2020)
[i5]
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  - journals/corr/abs-2012-04462
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Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Multi-Objective Interpolation Training for Robustness to Label Noise. CoRR abs/2012.04462 (2020)
2019
[c6]
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  - conf/cbmi/OrtegoMSA0O19
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Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor:
On guiding video object segmentation. CBMI 2019: 1-6
[c5]
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  - electronic edition @ mlr.press (open access)
  - no references & citations available
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  - conf/icml/ArazoOAOM19
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Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Unsupervised Label Noise Modeling and Loss Correction. ICML 2019: 312-321
[i4]
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  dblp key:
  - journals/corr/abs-1904-11238
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Eric Arazo Sanchez, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Unsupervised label noise modeling and loss correction. CoRR abs/1904.11238 (2019)
[i3]
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  dblp key:
  - journals/corr/abs-1904-11256
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Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor:
On guiding video object segmentation. CoRR abs/1904.11256 (2019)
[i2]
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  dblp key:
  - journals/corr/abs-1908-02983
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Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. CoRR abs/1908.02983 (2019)
[i1]
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  dblp key:
  - journals/corr/abs-1912-08741
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Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Towards Robust Learning with Different Label Noise Distributions. CoRR abs/1912.08741 (2019)

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