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Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning.

, , , , и . ICONIP (1), том 9489 из Lecture Notes in Computer Science, стр. 253-263. Springer, (2015)

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Irina-Maria Hucklenbroich

Irina Maria Kreusch

Irina Maria Größ

Maria-Irina Reichel

Nicolae Marinescu

 

Другие публикации лиц с тем же именем

Joint Semi-supervised Similarity Learning for Linear Classification., , , и . ECML/PKDD (1), том 9284 из Lecture Notes in Computer Science, стр. 594-609. Springer, (2015)Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning., , , , и . ICONIP (1), том 9489 из Lecture Notes in Computer Science, стр. 253-263. Springer, (2015)Extending Knowledge Bases Using Images., , и . AKBC@NIPS, OpenReview.net, (2017)Joint Semi-Supervised Similarity Learning for Linear Classification, , , и . Joint European Conference on Machine Learning and Knowledge Discovery in Databases, стр. 594--609. Springer, (2015)Open-World Visual Recognition Using Knowledge Graphs., , и . CoRR, (2017)Similarity Learning for Time Series Classification., , , и . CoRR, (2016)Algorithmic Robustness for Semi-Supervised (e,g,t)-Good Metric Learning, , , , и . глава Algorithmic Robustness for Semi-Supervised (e,g,t)-Good Metric Learning, стр. 253--263. Springer International Publishing, Cham, (2015)Learning similarities for linear classification: theoretical foundations and algorithms. (Apprentissage de similarités pour la classification linéaire: fondements théoriques et algorithmes).. University of Lyon, France, (2016)Efficient Defenses Against Adversarial Attacks., , и . AISec@CCS, стр. 39-49. ACM, (2017)Revisiting Neural Program Smoothing for Fuzzing., , и . ESEC/SIGSOFT FSE, стр. 133-145. ACM, (2023)