About
Discord Stateoftheart AI
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Publications

190

Cited by

83517

Leon Bottou

machine learningartificial intelligence
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United States

Papers and Citations

1 - 50
Gradient-based learning applied to document recognition
1998
Leon Bottou
Yoshua Bengio
Yann LeCun
+1
Cited by 31512
Natural language processing (almost) from scratch
2011
Michael Karlen
Leon Bottou
Ronan Collobert
+4
Cited by 7485
Wasserstein generative adversarial networks
2017
Soumith Chintala
Martin Arjovsky
Leon Bottou
Cited by 7081
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion.
2010
Pierre-Antoine Manzagol
Isabelle Lajoie
Pascal Vincent
+5
Cited by 6075
Wasserstein gan
2017
Leon Bottou
Martin Arjovsky
Soumith Chintala
Cited by 5631
Large-scale machine learning with stochastic gradient descent
2010
Leon Bottou
Cited by 4132
Efficient backprop
1998
Yann LeCun
Klaus-Robert Müller
Leon Bottou
+1
Cited by 3699
Learning and transferring mid-level image representations using convolutional neural networks
2014
Maxime Oquab
Ivan Laptev
Josef Sivic
+1
Cited by 2948
Optimization methods for large-scale machine learning
2018
Frank E. Curtis
Jorge Nocedal
Leon Bottou
Cited by 1673
The tradeoffs of large scale learning
2008
Leon Bottou
Olivier Bousquet
Cited by 1533
Towards principled methods for training generative adversarial networks
2017
Martin Arjovsky
Leon Bottou
Cited by 1341
Learning methods for generic object recognition with invariance to pose and lighting
2004
Leon Bottou
Yann LeCun
FJ Huang
Cited by 1320
Comparison of learning algorithms for handwritten digit recognition
1995
Isabelle Guyon
Isabelle Guyon
Yann LeCun
+9
Cited by 1226
Online learning and stochastic approximations
1998
Leon Bottou
Cited by 1209
Stochastic gradient descent tricks
2012
Leon Bottou
Cited by 1135
Comparison of classifier methods: a case study in handwritten digit recognition
1994
Leon Bottou
Corinna Cortes
Yann LeCun
+8
Cited by 871
Is object localization for free?-weakly-supervised learning with convolutional neural networks
2015
Maxime Oquab
Josef Sivic
Ivan Laptev
+1
Cited by 814
Fast kernel classifiers with online and active learning
2005
Jason Weston
Antoine Bordes
Leon Bottou
+1
Cited by 746
Local learning algorithms
1992
Leon Bottou
V Vapnik
Cited by 689
Optimization for machine learning
2011
Tommi Jaakkola
Zhang Liu
Leon Bottou
+37
Cited by 583
Convergence properties of the k-means algorithms
1995
Yoshua Bengio
Leon Bottou
Cited by 565
Object recognition with gradient-based learning
1999
Patrick Haffner
Leon Bottou
Yann LeCun
+1
Cited by 563
Parallel support vector machines: The cascade svm
2005
Eric Cosatto
Hans Peter Graf
Leon Bottou
+2
Cited by 533
Learning algorithms for classification: A comparison on handwritten digit recognition
1995
Isabelle Guyon
Isabelle Guyon
Yann LeCun
+8
Cited by 524
Large scale transductive SVMs
2006
Ronan Collobert
Fabian Sinz
Leon Bottou
+1
Cited by 515
Stochastic gradient learning in neural networks
1991
Leon Bottou
Cited by 506
Stochastic learning
2003
Leon Bottou
Cited by 466
Large scale online learning
2004
Leon Bottou
YL Cun
Cited by 434
Learning on the border: active learning in imbalanced data classification
2007
Jian Huang
Leon Bottou
Seyda Ertekin
+1
Cited by 384
Support vector machine solvers
2007
Leon Bottou
Chih-Jen Lin
Cited by 370
Trading convexity for scalability
2006
Ronan Collobert
Jason Weston
Fabian Sinz
+1
Cited by 366
Counterfactual reasoning and learning systems: The example of computational advertising
2013
Jonas Peters
Leon Bottou
Patrice Simard
+6
Cited by 354
SGD-QN: Careful quasi-Newton stochastic gradient descent
2009
Patrick Gallinari
Antoine Bordes
Leon Bottou
Cited by 354
Toward automatic phenotyping of developing embryos from videos
2005
Yann LeCun
Fabio Piano
Leon Bottou
+3
Cited by 282
From machine learning to machine reasoning
2014
Leon Bottou
Cited by 267
Unifying distillation and privileged information
2015
David Lopez-Paz
Vladimir Vapnik
Bernhard Schölkopf
+2
Cited by 261
Invariant risk minimization
2019
Martin Arjovsky
David Lopez-Paz
Leon Bottou
+1
Cited by 233
Improvements to the percolator algorithm for peptide identification from shotgun proteomics data sets
2009
L Käll
M Spivak
Leon Bottou
+2
Cited by 212
Solving multiclass support vector machines with LaRank
2007
Patrick Gallinari
Antoine Bordes
Leon Bottou
+1
Cited by 206
The need for open source software in machine learning
2007
Fernando Pereira
Yann LeCun
Klaus-Robert Müller
+13
Cited by 201
Training invariant support vector machines using selective sampling
2007
Leon Bottou
Stéphane Canu
Gaëlle Loosli
Cited by 193
Learning image embeddings using convolutional neural networks for improved multi-modal semantics
2014
Leon Bottou
Douwe Kiela
Cited by 193
Boxlets: a fast convolution algorithm for signal processing and neural networks
1999
Patrick Haffner
Patrice Simard
Yann LeCun
+1
Cited by 183
Support vector machine-reference manual
1998
Craig Saunders
Alex Smola
Leon Bottou
+2
Cited by 182
On‐line learning for very large data sets
2005
Leon Bottou
Y Le Cun
Cited by 169
Empirical analysis of the hessian of over-parametrized neural networks
2017
Leon Bottou
Levent Sagun
V. Uğur G�ney
+2
Cited by 168
Inference with the universum
2006
Jason Weston
Leon Bottou
Ronan Collobert
+2
Cited by 167
Structural risk minimization for character recognition
1992
Isabelle Guyon
Leon Bottou
SA Solla
+2
Cited by 156
Local algorithms for pattern recognition and dependencies estimation
1993
Leon Bottou
V Vapnik
Cited by 140
Image and video coding-emerging standards and beyond
1998
Paul G Howard
Patrick Haffner
Lawrence Rabiner
+6
Cited by 125