引用次数
引用: 56,832
H-指数: 74
I10-指数 : 120
出版物: 216
Learned-norm pooling for deep feedforward and recurrent neural networks
Caglar Gulcehre , Kyunghyun Cho , Razvan Pascanu , Yoshua Bengio
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I 14 530 -546
206
2014
Advances in neural information processing systems
Guido F Montufar , Razvan Pascanu , Kyunghyun Cho , Yoshua Bengio
Curran Associates, Inc. 2924 -2932
89
2014
Metric-free natural gradient for joint-training of boltzmann machines
Guillaume Desjardins , Razvan Pascanu , Aaron Courville , Yoshua Bengio
arXiv preprint arXiv:1301.3545
30
2013
Deep self-taught learning for handwritten character recognition
Frédéric Bastien , Yoshua Bengio , Arnaud Bergeron , Nicolas Boulanger-Lewandowski
arXiv preprint arXiv:1009.3589
23
2010
Autotagging music with conditional restricted Boltzmann machines
Michael Mandel , Razvan Pascanu , Hugo Larochelle , Yoshua Bengio
arXiv preprint arXiv:1103.2832
14
2011
Learned-norm pooling for deep neural networks
Caglar Gülçehre , Kyunghyun Cho , Razvan Pascanu , Yoshua Bengio
arXiv preprint arXiv:1311.1780
12
2013
Deep learning on GPUs with Theano
James Bergstra , Frédéric Bastien , Joseph Turian , Razvan Pascanu
The Learning Workshop
7
2010
On the number of inference regions of deep feed forward networks with piece-wise linear activations. CoRR
Razvan Pascanu , Guido Montufar , Yoshua Bengio
5
2014
Nevis' 22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
Jorg Bornschein , Alexandre Galashov , Ross Hemsley , Amal Rannen-Triki
Journal of Machine Learning Research 24 ( 308) 1 -77
11
2023
Predicting unreliable predictions by shattering a neural network
Xu Ji , Razvan Pascanu , R Devon Hjelm , Andrea Vedaldi
3
2021
Towards robust and efficient continual language learning
Adam Fisch , Amal Rannen-Triki , Razvan Pascanu , Jörg Bornschein
arXiv preprint arXiv:2307.05741
3
2023
Towards compute-optimal transfer learning
Massimo Caccia , Alexandre Galashov , Arthur Douillard , Amal Rannen-Triki
arXiv preprint arXiv:2304.13164
1
2023
Learning to deal with long-term dependencies
Razvan Pascanu , Yoshua Bengio
Neural Computation 9 1735 -1780
2
1986
Supplementary Material: Attacking the saddle point problem in high-dimensional non-convex optimization
Yann N Dauphin , Razvan Pascanu , Caglar Gulcehre , Kyunghyun Cho
Supplementary Material: On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar , Razvan Pascanu , Kyunghyun Cho , Yoshua Bengio
Continual learning: Applications and the road forward
Eli Verwimp , Shai Ben-David , Matthias Bethge , Andrea Cossu
arXiv preprint arXiv:2311.11908
5
2023
Liro: Benchmark and leaderboard for romanian language tasks
Stefan Daniel Dumitrescu , Petru Rebeja , Beata Lorincz , Mihaela Gaman
Smpte Journal
10
2021
Test sample accuracy scales with training sample density in neural networks
Xu Ji , Razvan Pascanu , R Devon Hjelm , Balaji Lakshminarayanan
Conference on Lifelong Learning Agents 629 -646
6
2022
Progressive neural networks. arXiv 2016
Andrei A Rusu , Neil C Rabinowitz , Guillaume Desjardins , Hubert Soyer
arXiv preprint arXiv:1606.04671
91
2016
Reasoning-modulated representations
Petar Veličković , Matko Bošnjak , Thomas Kipf , Alexander Lerchner
Learning on Graphs Conference 50: 1 -50: 17
12
2022