引用次数
引用: 56,832
H-指数: 74
I10-指数 : 120
出版物: 216
Meta-learning with latent embedding optimization
Dushyant R RA A , S Jakub , V Oriol , P Razvan
7th International Conference on Learning Representations. OpenReview. net, New Orleans
4
2019
On the saddle point problem for non-convex optimization
Yoshua Bengio , Razvan Pascanu , Yann N. Dauphin , Surya Ganguli
arXiv: Learning
106
2014
Theano: new features and speed improvements
Frédéric Bastien , Pascal Lamblin , Razvan Pascanu , James Bergstra
arXiv: Symbolic Computation
1,647
2012
On the difficulty of training recurrent neural networks
Yoshua Bengio , Tomas Mikolov , Razvan Pascanu
international conference on machine learning 1310 -1318
5,828
2013
Learned-norm pooling for deep neural networks.
Çaglar Gülçehre , Yoshua Bengio , Razvan Pascanu , Kyunghyun Cho
12
2013
Pylearn2: a machine learning research library
Ian J Goodfellow , David Warde-Farley , Pascal Lamblin , Vincent Dumoulin
arXiv: Machine Learning
357
2013
Learning algorithms for the classification restricted Boltzmann machine
Yoshua Bengio , Razvan Pascanu , Hugo Larochelle , Michael Mandel
Journal of Machine Learning Research 13 ( 1) 643 -669
367
2012
Deep Learners Benefit More from Out-of-Distribution Examples
Youssouf Chherawala , Nicolas Boulanger-Lewandowski , Yoshua Bengio , Xavier Glorot
international conference on artificial intelligence and statistics 164 -172
169
2011
On the Number of Linear Regions of Deep Neural Networks
Yoshua Bengio , Razvan Pascanu , Guido F Montufar , Kyunghyun Cho
neural information processing systems 27 2924 -2932
2,266
2014
Theano: Deep Learning on GPUs with Python
James Bergstra , Frédéric Bastien , Olivier Breuleux , Pascal Lamblin
hgpu.org
335
2012
On Recurrent and Deep Neural Networks
Razvan Pascanu
Bibliothèque de l'Université de Montréal
3
2015
Theano: A Python framework for fast computation of mathematical expressions
Rami Al-Rfou , Guillaume Alain , Amjad Almahairi , Christof Angermueller
arXiv: Symbolic Computation
868
2016
Natural Gradient Revisited
Yoshua Bengio , Razvan Pascanu
international conference on learning representations
1
2013
Progressive neural networks
Razvan Pascanu , Koray Kavukcuoglu , Guillaume Desjardins , Raia Hadsell
arXiv: Learning
1,921
2017
Policy Distillation
Volodymyr Mnih , Caglar Gulcehre , Razvan Pascanu , Koray Kavukcuoglu
international conference on learning representations
574
2016
Discovering objects and their relations from entangled scene representations
Razvan Pascanu , David G. T. Barrett , Peter W. Battaglia , Adam Santoro
international conference on learning representations
112
2017
Local minima in training of neural networks
Razvan Pascanu , Grzegorz Swirszcz , Wojciech Marian Czarnecki
arXiv: Machine Learning
57
2016
A simple neural network module for relational reasoning
Razvan Pascanu , David G. T. Barrett , Peter Battaglia , Mateusz Malinowski
arXiv: Computation and Language
1,532
2017
Sobolev Training for Neural Networks
Razvan Pascanu , Simon Osindero , Max Jaderberg , Wojciech Marian Czarnecki
arXiv: Learning
174
2017
Visual Interaction Networks: Learning a Physics Simulator from Video
Andrea Tacchetti , Razvan Pascanu , Peter W. Battaglia , Theophane Weber
neural information processing systems 30 4539 -4547
328
2017