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Theano: A Python framework for fast computation of mathematical
  expressions

Theano: A Python framework for fast computation of mathematical expressions

9 May 2016
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
Dzmitry Bahdanau
Nicolas Ballas
Frédéric Bastien
Justin Bayer
A. Belikov
A. Belopolsky
Yoshua Bengio
Arnaud Bergeron
James Bergstra
Valentin Bisson
Josh Bleecher Snyder
Nicolas Bouchard
Nicolas Boulanger-Lewandowski
Xavier Bouthillier
A. D. Brébisson
Olivier Breuleux
P. Carrier
Kyunghyun Cho
J. Chorowski
Paul Christiano
Tim Cooijmans
Marc-Alexandre Côté
Myriam Côté
Aaron Courville
Yann N. Dauphin
Olivier Delalleau
Julien Demouth
Guillaume Desjardins
Sander Dieleman
Laurent Dinh
Mélanie Ducoffe
Vincent Dumoulin
Samira Ebrahimi Kahou
D. Erhan
Ziye Fan
Orhan Firat
M. Germain
Xavier Glorot
Ian Goodfellow
M. Graham
Çağlar Gülçehre
P. Hamel
Iban Harlouchet
J. Heng
Balázs Hidasi
S. Honari
Arjun Jain
Sébastien Jean
Kai Jia
Mikhail Korobov
Vivek Kulkarni
Alex Lamb
Pascal Lamblin
Eric Larsen
César Laurent
Seanie Lee
S. Lefrançois
S. Lemieux
Nicholas Léonard
Zhouhan Lin
J. Livezey
C. Lorenz
J. Lowin
Qianli Ma
Pierre-Antoine Manzagol
Olivier Mastropietro
R. McGibbon
Roland Memisevic
B. V. Merrienboer
Vincent Michalski
M. Berk Mirza
A. Orlandi
C. Pal
Razvan Pascanu
Mohammad Pezeshki
Colin Raffel
D. Renshaw
M. Rocklin
Adriana Romero
Markus Roth
Peter Sadowski
J. Salvatier
F. Savard
Jan Schluter
John Schulman
Gabriel Schwartz
Iulian Serban
Dmitriy Serdyuk
Samira Shabanian
Étienne Simon
Sigurd Spieckermann
S. Subramanyam
Jakub Sygnowski
Jérémie Tanguay
Gijs van Tulder
Joseph P. Turian
Sebastian Urban
Pascal Vincent
Francesco Visin
H. D. Vries
David Warde-Farley
Dustin J. Webb
Matthew Willson
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
ArXiv (abs)PDFHTML

Papers citing "Theano: A Python framework for fast computation of mathematical expressions"

50 / 523 papers shown
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Learning Distributed Representations of Texts and Entities from
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Nonlinear Information Bottleneck
Nonlinear Information Bottleneck
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David Wolpert
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06 May 2017
Sequential Attention: A Context-Aware Alignment Function for Machine
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Sequential Attention: A Context-Aware Alignment Function for Machine Reading
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Philip Yeres
Samuel R. Bowman
AIMat
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05 May 2017
Machine Comprehension by Text-to-Text Neural Question Generation
Machine Comprehension by Text-to-Text Neural Question Generation
Xingdi Yuan
Tong Wang
Çağlar Gülçehre
Alessandro Sordoni
Philip Bachman
Sandeep Subramanian
Saizheng Zhang
Adam Trischler
OOD
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187
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04 May 2017
Deep Learning for Tumor Classification in Imaging Mass Spectrometry
Deep Learning for Tumor Classification in Imaging Mass Spectrometry
Jens Behrmann
Christian Etmann
T. Boskamp
R. Casadonte
J. Kriegsmann
Peter Maass
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02 May 2017
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Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings
John Wieting
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30 Apr 2017
Limits of End-to-End Learning
Limits of End-to-End Learning
Tobias Glasmachers
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26 Apr 2017
A Generalization of Convolutional Neural Networks to Graph-Structured
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A Generalization of Convolutional Neural Networks to Graph-Structured Data
Yotam Hechtlinger
Purvasha Chakravarti
Jining Qin
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Semi-supervised Multitask Learning for Sequence Labeling
Semi-supervised Multitask Learning for Sequence Labeling
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Mutual Information, Neural Networks and the Renormalization Group
Mutual Information, Neural Networks and the Renormalization Group
M. Koch-Janusz
Zohar Ringel
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Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
Pierre Baqué
François Fleuret
Pascal Fua
ObjD
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19 Apr 2017
ConvNet-Based Localization of Anatomical Structures in 3D Medical Images
ConvNet-Based Localization of Anatomical Structures in 3D Medical Images
B. D. de Vos
J. Wolterink
P. D. de Jong
T. Leiner
M. Viergever
Ivana Išgum
MedIm
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104
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19 Apr 2017
3D Deep Learning for Biological Function Prediction from Physical Fields
3D Deep Learning for Biological Function Prediction from Physical Fields
Vladimir Golkov
Marcin J. Skwark
Atanas Mirchev
G. Dikov
Alexander R. Geanes
Jeffrey L. Mendenhall
J. Meiler
Zorah Lähner
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10
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13 Apr 2017
A Neural Model for User Geolocation and Lexical Dialectology
A Neural Model for User Geolocation and Lexical Dialectology
Afshin Rahimi
Trevor Cohn
Timothy Baldwin
FedML
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13 Apr 2017
Virtual Adversarial Training: A Regularization Method for Supervised and
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Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
153
2,750
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13 Apr 2017
Representation Stability as a Regularizer for Improved Text Analytics
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Representation Stability as a Regularizer for Improved Text Analytics Transfer Learning
Matthew D Riemer
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CLL
103
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Continuously tempered Hamiltonian Monte Carlo
Continuously tempered Hamiltonian Monte Carlo
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Amos J. Storkey
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11 Apr 2017
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition
Tianmin Shu
S. Todorovic
Song-Chun Zhu
69
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Enhancing Robustness of Machine Learning Systems via Data
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Enhancing Robustness of Machine Learning Systems via Data Transformations
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Daniel Cullina
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134
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BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis
BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis
Shanxin Yuan
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100
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Modeling Temporal Dynamics and Spatial Configurations of Actions Using
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Hongsong Wang
Liang Wang
78
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Egocentric Video Description based on Temporally-Linked Sequences
Egocentric Video Description based on Temporally-Linked Sequences
Marc Bolaños
Álvaro Peris
F. Casacuberta
Sergi Soler
Petia Radeva
EgoV
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Jet Constituents for Deep Neural Network Based Top Quark Tagging
Jet Constituents for Deep Neural Network Based Top Quark Tagging
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W. Fedorko
A. Lister
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BDL
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Conversation Modeling on Reddit using a Graph-Structured LSTM
Conversation Modeling on Reddit using a Graph-Structured LSTM
Vicky Zayats
Mari Ostendorf
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07 Apr 2017
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point
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Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
Roman Klokov
Victor Lempitsky
3DV
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Optic Disc and Cup Segmentation Methods for Glaucoma Detection with
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Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network
Artem Sevastopolsky
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Sparse Autoencoder for Unsupervised Nucleus Detection and Representation
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L. Hou
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Dimitris Samaras
Tahsin M. Kurc
Yi Gao
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A Geometric Framework for Stochastic Shape Analysis
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Alexis Arnaudon
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Stefan Sommer
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Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
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Yu Guan
T. Plötz
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Speech Enhancement using a Deep Mixture of Experts
Speech Enhancement using a Deep Mixture of Experts
Shlomo E. Chazan
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Transfer learning for music classification and regression tasks
Transfer learning for music classification and regression tasks
Keunwoo Choi
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Where to put the Image in an Image Caption Generator
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Count-ception: Counting by Fully Convolutional Redundant Counting
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Batch-normalized joint training for DNN-based distant speech recognition
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Mirco Ravanelli
Philemon Brakel
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View Adaptive Recurrent Neural Networks for High Performance Human
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Cuiling Lan
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On the Robustness of Convolutional Neural Networks to Internal
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Generative Adversarial Residual Pairwise Networks for One Shot Learning
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A network of deep neural networks for distant speech recognition
A network of deep neural networks for distant speech recognition
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Topic Identification for Speech without ASR
Topic Identification for Speech without ASR
Chunxi Liu
J. Trmal
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Sanjeev Khudanpur
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A Comparison of deep learning methods for environmental sound
A Comparison of deep learning methods for environmental sound
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Wei Dai
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Modeling Relational Data with Graph Convolutional Networks
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A Study of Complex Deep Learning Networks on High Performance,
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Ensemble of Neural Classifiers for Scoring Knowledge Base Triples
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Nematus: a Toolkit for Neural Machine Translation
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Data Noising as Smoothing in Neural Network Language Models
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Triple Generative Adversarial Nets
Triple Generative Adversarial Nets
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Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained
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Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging
Jongpil Lee
Juhan Nam
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06 Mar 2017
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