Novi Quadrianto

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Viktoriia SharmanskaImperial College Research FellowDirección de correo verificada de imperial.ac.uk
Christoph H. LampertInstitute of Science and Technology Austria (ISTA)Dirección de correo verificada de ist.ac.at
Alex SmolaBoson AIDirección de correo verificada de smola.org
Tiberio CaetanoGradient InstituteDirección de correo verificada de gradientinstitute.org
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISDirección de correo verificada de cs.tu-darmstadt.de
Wray BuntineProfessor, VinUniversityDirección de correo verificada de vinuni.edu.vn
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleDirección de correo verificada de eng.cam.ac.uk
Oliver ThomasPhD Student, University of SussexDirección de correo verificada de sussex.ac.uk
Daniel Hernández-LobatoAssociate Professor, Universidad Autónoma de MadridDirección de correo verificada de uam.es
Quoc V. LeResearch Scientist, GoogleDirección de correo verificada de stanford.edu
James PettersonPrincipal Data Scientist, IAGDirección de correo verificada de nicta.com.au
Chao ChenStony Brook UniversityDirección de correo verificada de stonybrook.edu
Sébastien BratièresDirector of AI, Translated. Managing Director, Pi School.Dirección de correo verificada de translated.com
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceDirección de correo verificada de biomap.com
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgeDirección de correo verificada de cam.ac.uk
Gilbert LeungUber Technologies, Inc.Dirección de correo verificada de alum.mit.edu
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityDirección de correo verificada de stat.purdue.edu
Tatiana TommasiPolitecnico di TorinoDirección de correo verificada de polito.it
Barbara CaputoDAUIN, Politecnico di TorinoDirección de correo verificada de polito.it
Mark D. ReidAppleDirección de correo verificada de reid.name

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Novi Quadrianto

Professor of Machine Learning, University of Sussex UK, BCAM Spain, Monash Indonesia

Dirección de correo verificada de sussex.ac.uk - Página principal

Trustworthy Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Estimating labels from label proportions N Quadrianto, AJ Smola, TS Caetano, QV Le The Journal of Machine Learning Research 10, 2349-2374, 2009	292	2009
Learning to rank using privileged information V Sharmanska, N Quadrianto, CH Lampert Proceedings of the IEEE international conference on computer vision, 825-832, 2013	231	2013
Discovering fair representations in the data domain N Quadrianto, V Sharmanska, O Thomas Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	173	2019
Learning multi-view neighborhood preserving projections N Quadrianto, CH Lampert Proceedings of the 28th international conference on machine learning (ICML …, 2011	135	2011
Augmented attribute representations V Sharmanska, N Quadrianto, CH Lampert Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	115	2012
Recycling privileged learning and distribution matching for fairness N Quadrianto, V Sharmanska Advances in neural information processing systems 30, 2017	114	2017
Kernelized sorting N Quadrianto, L Song, A Smola Advances in neural information processing systems 21, 2008	114	2008
A very simple safe-Bayesian random forest N Quadrianto, Z Ghahramani IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 37 (6), 2015	74	2015
Multitask learning without label correspondences N Quadrianto, J Petterson, T Caetano, A Smola, S Vishwanathan Advances in Neural Information Processing Systems 23, 2010	60	2010
Distribution matching for transduction N Quadrianto, J Petterson, A Smola Advances in Neural Information Processing Systems 22, 2009	54	2009
Analysing trade-offs and synergies between SDGs for urban development, food security and poverty alleviation in rapidly changing peri-urban areas: a tool to support inclusive … J Dolley, F Marshall, B Butcher, J Reffin, JA Robinson, B Eray, ... Sustainability Science 15, 1601-1619, 2020	53	2020
Mind the nuisance: Gaussian process classification using privileged noise D Hernández-Lobato, V Sharmanska, K Kersting, CH Lampert, ... Advances in Neural Information Processing Systems 27, 2014	48	2014
Ambiguity helps: Classification with disagreements in crowdsourced annotations V Sharmanska, D Hernández-Lobato, J Miguel Hernandez-Lobato, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	44	2016
Beyond dataset bias: Multi-task unaligned shared knowledge transfer T Tommasi, N Quadrianto, B Caputo, CH Lampert Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013	43	2013
Kernel conditional quantile estimation via reduction revisited N Quadrianto, K Kersting, MD Reid, TS Caetano, WL Buntine 2009 Ninth IEEE International Conference on Data Mining, 938-943, 2009	41	2009
Learning to transfer privileged information V Sharmanska, N Quadrianto, CH Lampert arXiv preprint arXiv:1410.0389, 2014	37	2014
Null-sampling for interpretable and fair representations T Kehrenberg, M Bartlett, O Thomas, N Quadrianto Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	32	2020
Beyond 2D-grids: a dependence maximization view on image browsing N Quadrianto, K Kersting, T Tuytelaars, WL Buntine Proceedings of the international conference on multimedia information …, 2010	32	2010
Contrastive examples for addressing the tyranny of the majority V Sharmanska, LA Hendricks, T Darrell, N Quadrianto arXiv preprint arXiv:2004.06524, 2020	29	2020
An empirical, Bayesian approach to modelling crop yield: Maize in USA R Shirley, E Pope, M Bartlett, S Oliver, N Quadrianto, P Hurley, ... Environmental Research Communications 2 (2), 025002, 2020	29*	2020

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