Yunlong Jiao
Cited by
Cited by
Prediction of human population responses to toxic compounds by a collaborative competition
F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ...
Nature biotechnology 33 (9), 933-940, 2015
The Kendall and Mallows kernels for permutations
Y Jiao, JP Vert
International Conference on Machine Learning, 1935-1944, 2015
Universal neural vocoding with parallel wavenet
Y Jiao, A Gabryś, G Tinchev, B Putrycz, D Korzekwa, V Klimkov
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Trans-encoder: Unsupervised sentence-pair modelling through self-and mutual-distillations
F Liu, Y Jiao, J Massiah, E Yilmaz, S Havrylov
arXiv preprint arXiv:2109.13059, 2021
Controlling the distance to a kemeny consensus without computing it
Y Jiao, A Korba, E Sibony
International Conference on Machine Learning, 2971-2980, 2016
Rethinking semi-supervised learning with language models
Z Shi, F Tonolini, N Aletras, E Yilmaz, G Kazai, Y Jiao
arXiv preprint arXiv:2305.13002, 2023
Pars: Pseudo-label aware robust sample selection for learning with noisy labels
A Goel, Y Jiao, J Massiah
arXiv preprint arXiv:2201.10836, 2022
Kernel multitask regression for toxicogenetics
E Bernard, Y Jiao, E Scornet, V Stoven, T Walter, JP Vert
Molecular informatics 36 (10), 1700053, 2017
The weighted kendall and high-order kernels for permutations
Y Jiao, JP Vert
International Conference on Machine Learning, 2314-2322, 2018
Signaling pathway activities improve prognosis for breast cancer
Y Jiao, MR Hidalgo, C Çubuk, A Amadoz, J Carbonell-Caballero, JP Vert, ...
BioRxiv, 132357, 2017
Just Mix Once: Mixing Samples with Implicit Group Distribution
G Giannone, S Havrylov, J Massiah, E Yilmaz, Y Jiao
NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021
Failure state prediction for automated analyzers for analyzing a biological sample
F Heinemann, S Kobel, S Dahlmanns, JP Vert, Y Jiao
US Patent App. 16/416,844, 2019
Robust weak supervision with variational auto-encoders
F Tonolini, N Aletras, Y Jiao, G Kazai
International Conference on Machine Learning, 34394-34408, 2023
Schema-guided user satisfaction modeling for task-oriented dialogues
Y Feng, Y Jiao, A Prasad, N Aletras, E Yilmaz, G Kazai
arXiv preprint arXiv:2305.16798, 2023
Just mix once: Worst-group generalization by group interpolation
G Giannone, S Havrylov, J Massiah, E Yilmaz, Y Jiao
arXiv preprint arXiv:2210.12195, 2022
Improving the expressiveness of neural vocoding with non-affine Normalizing Flows
A Gabryś, Y Jiao, V Klimkov, D Korzekwa, R Barra-Chicote
arXiv preprint arXiv:2106.08649, 2021
On the Reliability of User Feedback for Evaluating the Quality of Conversational Agents
J Massiah, E Yilmaz, Y Jiao, G Kazai
Proceedings of the 32nd ACM International Conference on Information and …, 2023
Pronostic moléculaire basé sur l'ordre des gènes et découverte de biomarqueurs guidé par des réseaux pour le cancer du sein
Y Jiao
Paris Sciences et Lettres (ComUE), 2017
Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer
Y Jiao
Université Paris sciences et lettres, 2017
Weak Supervision Variational Auto-Encoder
F Tonolini, N Aletras, Y Jiao, G Kazai
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