مقاله‌های دارای تعهدات انتشار عمومی - Richard Nockبیشتر بدانید
جای دیگری دردسترس است: ۱۶
Loss factorization, weakly supervised learning and label noise robustness
G Patrini, F Nielsen, R Nock, M Carioni
International conference on machine learning, 708-717, 2016
تعهدات: Australian Research Council
Total Jensen divergences: Definition, properties and clustering
F Nielsen, R Nock
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
تعهدات: Australian Research Council
On conformal divergences and their population minimizers
R Nock, F Nielsen, S Amari
IEEE Transactions on Information Theory 62 (1), 527-538, 2015
تعهدات: Australian Research Council
On Clustering Histograms with k-Means by Using Mixed α-Divergences
F Nielsen, R Nock, S Amari
Entropy 16 (6), 3273-3301, 2014
تعهدات: Australian Research Council
Optimal interval clustering: Application to Bregman clustering and statistical mixture learning
F Nielsen, R Nock
IEEE Signal Processing Letters 21 (10), 1289-1292, 2014
تعهدات: Australian Research Council
(Almost) No Label No Cry
G Patrini, R Nock, P Rivera, T Caetano
Advances in Neural Information Processing Systems, 2014
تعهدات: Australian Research Council
Gentle nearest neighbors boosting over proper scoring rules
R Nock, WBH Ali, R D’Ambrosio, F Nielsen, M Barlaud
IEEE transactions on pattern analysis and machine intelligence 37 (1), 80-93, 2014
تعهدات: Australian Research Council
Rademacher observations, private data, and boosting
R Nock, G Patrini, A Friedman
International Conference on Machine Learning, 948-956, 2015
تعهدات: Australian Research Council
k-variates++: more pluses in the k-means++
R Nock, R Canyasse, R Boreli, F Nielsen
International Conference on Machine Learning, 145-154, 2016
تعهدات: Australian Research Council
Random classification noise does not defeat all convex potential boosters irrespective of model choice
Y Mansour, R Nock, R Williamson
International Conference on Machine Learning, 23706-23742, 2023
تعهدات: German Research Foundation
Fair wrapping for black-box predictions
A Soen, IM Alabdulmohsin, S Koyejo, Y Mansour, N Moorosi, R Nock, ...
Advances in Neural Information Processing Systems 35, 21615-21627, 2022
تعهدات: European Commission
Smint: Toward interpretable and robust model sharing for deep neural networks
H Wu, C Wang, R Nock, W Wang, J Yin, K Lu, L Zhu
ACM Transactions on the Web (TWEB) 14 (3), 1-28, 2020
تعهدات: US National Science Foundation, National Natural Science Foundation of China
Optimal response vigor and choice under non-stationary outcome values
A Dezfouli, BW Balleine, R Nock
Psychonomic Bulletin & Review 26, 182-204, 2019
تعهدات: Australian Research Council, National Health and Medical Research Council …
Smoothly giving up: Robustness for simple models
T Sypherd, N Stromberg
Proceedings of The 26th International Conference on Artificial Intelligence …, 2023
تعهدات: US National Science Foundation, US Department of Defense
Machines that Learn with Limited or No Supervision: A Survey on Deep Learning Based Techniques
S Roy, S Herath, R Nock, F Porikli
تعهدات: Australian Research Council
The Crossover Process: Learnability meets Protection from Inference Attacks
R Nock, G Patrini, F Lattimore, T Caetano
arXiv preprint arXiv:1606.04160, 2016
تعهدات: Australian Research Council
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