Stebėti
Leon Bottou
Leon Bottou
Facebook AI Research
Patvirtintas el. paštas bottou.org - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Gradient-based learning applied to document recognition
Y LeCun, L Bottou, Y Bengio, P Haffner
Proceedings of the IEEE 86 (11), 2278-2324, 1998
709531998
Wasserstein generative adversarial networks
M Arjovsky, S Chintala, L Bottou
International Conference on Machine Learning, 214-223, 2017
179712017
Natural language processing (almost) from scratch
R Collobert, J Weston, L Bottou, M Karlen, K Kavukcuoglu, P Kuksa
Journal of machine learning research 12, 2493− 2537, 2011
104572011
Large-scale machine learning with stochastic gradient descent
L Bottou
Proceedings of COMPSTAT'2010: 19th International Conference on Computational …, 2010
78192010
Efficient backprop
YA LeCun, L Bottou, GB Orr, KR Müller
Neural networks: Tricks of the trade, Lecture Notes in Computer Science LNCS …, 1998
7473*1998
Signature verification using a" siamese" time delay neural network
J Bromley, I Guyon, Y LeCun, E Säckinger, R Shah
Advances in neural information processing systems 6, 1993
52951993
Learning and transferring mid-level image representations using convolutional neural networks
M Oquab, L Bottou, I Laptev, J Sivic
Proceedings of the IEEE conference on computer vision and pattern …, 2014
41322014
Optimization methods for large-scale machine learning
L Bottou, FE Curtis, J Nocedal
SIAM review 60 (2), 223-311, 2018
40702018
Stochastic gradient descent tricks
L Bottou
Neural Networks: Tricks of the Trade: Second Edition, 421-436, 2012
32922012
Towards principled methods for training generative adversarial networks
M Arjovsky, L Bottou
arXiv preprint arXiv:1701.04862, 2017
29922017
Invariant risk minimization
M Arjovsky, L Bottou, I Gulrajani, D Lopez-Paz
arXiv preprint arXiv:1907.02893, 2019
23012019
The Tradeoffs of Large-Scale Learning
L Bottou, O Bousquet
Neural Information Processing Systems 20, 161-168, 2008
22762008
Online algorithms and stochastic approximations
L Bottou
Online learning in neural networks, 1998
2095*1998
Learning methods for generic object recognition with invariance to pose and lighting
Y LeCun, FJ Huang, L Bottou
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
19422004
Object recognition with gradient-based learning
DA Forsyth, JL Mundy, V di Gesú, R Cipolla, Y LeCun, P Haffner, L Bottou, ...
Shape, contour and grouping in computer vision, 319-345, 1999
17021999
Is object localization for free?-weakly-supervised learning with convolutional neural networks
M Oquab, L Bottou, I Laptev, J Sivic
Proceedings of the IEEE conference on computer vision and pattern …, 2015
11632015
Comparison of classifier methods: a case study in handwritten digit recognition
L Bottou, C Cortes, JS Denker, H Drucker, I Guyon, LD Jackel, Y LeCun, ...
Proceedings of the 12th IAPR International Conference on Pattern Recognition …, 1994
10921994
Stochastic gradient learning in neural networks
L Bottou
Proceedings of Neuro-Nımes 91 (8), 12, 1991
10071991
Comparison of learning algorithms for handwritten digit recognition
Y LeCun, L Jackel, L Bottou, A Brunot, C Cortes, J Denker, H Drucker, ...
International conference on artificial neural networks 60 (1), 53-60, 1995
9601995
Fast kernel classifiers with online and active learning.
A Bordes, S Ertekin, J Weston, L Botton, N Cristianini
Journal of machine learning research 6 (9), 2005
8902005
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