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Novi Quadrianto
Novi Quadrianto
Professor of Machine Learning, University of Sussex UK, BCAM Spain, Monash Indonesia
Zweryfikowany adres z sussex.ac.uk - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Estimating labels from label proportions
N Quadrianto, AJ Smola, TS Caetano, QV Le
The Journal of Machine Learning Research 10, 2349-2374, 2009
2922009
Learning to rank using privileged information
V Sharmanska, N Quadrianto, CH Lampert
Proceedings of the IEEE international conference on computer vision, 825-832, 2013
2312013
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
1732019
Learning multi-view neighborhood preserving projections
N Quadrianto, CH Lampert
Proceedings of the 28th international conference on machine learning (ICML …, 2011
1352011
Augmented attribute representations
V Sharmanska, N Quadrianto, CH Lampert
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
1152012
Kernelized sorting
N Quadrianto, L Song, A Smola
Advances in neural information processing systems 21, 2008
1152008
Recycling privileged learning and distribution matching for fairness
N Quadrianto, V Sharmanska
Advances in neural information processing systems 30, 2017
1142017
A very simple safe-Bayesian random forest
N Quadrianto, Z Ghahramani
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 37 (6), 2015
742015
Multitask learning without label correspondences
N Quadrianto, J Petterson, T Caetano, A Smola, S Vishwanathan
Advances in Neural Information Processing Systems 23, 2010
602010
Distribution matching for transduction
N Quadrianto, J Petterson, A Smola
Advances in Neural Information Processing Systems 22, 2009
542009
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
532020
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
482014
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
442016
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
432013
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
412009
Learning to transfer privileged information
V Sharmanska, N Quadrianto, CH Lampert
arXiv preprint arXiv:1410.0389, 2014
372014
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
322020
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
322010
Contrastive examples for addressing the tyranny of the majority
V Sharmanska, LA Hendricks, T Darrell, N Quadrianto
arXiv preprint arXiv:2004.06524, 2020
292020
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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