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Blocks and Fuel: Frameworks for deep learning

Blocks and Fuel: Frameworks for deep learning

1 June 2015
B. V. Merrienboer
Dzmitry Bahdanau
Vincent Dumoulin
Dmitriy Serdyuk
David Warde-Farley
J. Chorowski
Yoshua Bengio
    MoE
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Papers citing "Blocks and Fuel: Frameworks for deep learning"

40 / 40 papers shown
Title
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Shams Forruque Ahmed
Md. Sakib Bin Alam
Maliha Kabir
Shaila Afrin
Sabiha Jannat Rafa
Aanushka Mehjabin
Amir H. Gandomi
AI4CE
42
2
0
06 Sep 2023
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine
  Translation
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation
Parnia Bahar
Christopher Brix
Hermann Ney
19
24
0
09 Oct 2018
Recent Advances in Deep Learning: An Overview
Recent Advances in Deep Learning: An Overview
Matiur Rahman Minar
Jibon Naher
VLM
24
116
0
21 Jul 2018
Neural Machine Translation Decoding with Terminology Constraints
Neural Machine Translation Decoding with Terminology Constraints
Eva Hasler
Adria de Gispert
Gonzalo Iglesias
Bill Byrne
AI4CE
26
108
0
09 May 2018
A Survey on Deep Learning Methods for Robot Vision
A Survey on Deep Learning Methods for Robot Vision
Javier Ruiz-del-Solar
P. Loncomilla
Naiomi Soto
31
60
0
28 Mar 2018
Why not be Versatile? Applications of the SGNMT Decoder for Machine
  Translation
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation
Felix Stahlberg
Danielle Saunders
Gonzalo Iglesias
Bill Byrne
36
11
0
20 Mar 2018
SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural
  Networks by Selective Network Augmentation
SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation
Abel S. Zacarias
Luís A. Alexandre
CLL
32
12
0
22 Feb 2018
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level
  Machine Learning Frameworks
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks
Heng-Tze Cheng
Zakaria Haque
Lichan Hong
M. Ispir
Clemens Mewald
...
Yuan Tang
Philipp Tucker
Martin Wicke
Cassandra Xia
Jianwei Xie
29
32
0
08 Aug 2017
Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of
  Deep Neural Network Models with Keras
Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras
Keunwoo Choi
Deokjin Joo
Juho Kim
VLM
19
72
0
19 Jun 2017
Stochastic Sequential Neural Networks with Structured Inference
Stochastic Sequential Neural Networks with Structured Inference
Hao Liu
Haoli Bai
Lirong He
Zenglin Xu
BDL
23
3
0
24 May 2017
Lexically Constrained Decoding for Sequence Generation Using Grid Beam
  Search
Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search
Chris Hokamp
Qun Liu
24
372
0
24 Apr 2017
A Robust Adaptive Stochastic Gradient Method for Deep Learning
A Robust Adaptive Stochastic Gradient Method for Deep Learning
Çağlar Gülçehre
Jose M. R. Sotelo
Marcin Moczulski
Yoshua Bengio
ODL
24
25
0
02 Mar 2017
Boundary-Seeking Generative Adversarial Networks
Boundary-Seeking Generative Adversarial Networks
R. Devon Hjelm
Athul Paul Jacob
Tong Che
Adam Trischler
Kyunghyun Cho
Yoshua Bengio
GAN
23
170
0
27 Feb 2017
Gated Multimodal Units for Information Fusion
Gated Multimodal Units for Information Fusion
John Arevalo
Thamar Solorio
Manuel Montes-y-Gómez
Fabio Gonzalez
33
371
0
07 Feb 2017
Towards End-to-End Speech Recognition with Deep Convolutional Neural
  Networks
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
Wenjie Qu
Mohammad Pezeshki
Philemon Brakel
Saizheng Zhang
Yoshua Bengio
Aaron Courville
27
366
0
10 Jan 2017
Neural Machine Translation by Minimising the Bayes-risk with Respect to
  Syntactic Translation Lattices
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices
Felix Stahlberg
Adria de Gispert
Eva Hasler
Bill Byrne
40
48
0
12 Dec 2016
Invariant Representations for Noisy Speech Recognition
Invariant Representations for Noisy Speech Recognition
Dmitriy Serdyuk
Kartik Audhkhasi
Philemon Brakel
Bhuvana Ramabhadran
Samuel Thomas
Yoshua Bengio
OOD
21
68
0
27 Nov 2016
Learning Language-Visual Embedding for Movie Understanding with
  Natural-Language
Learning Language-Visual Embedding for Movie Understanding with Natural-Language
Atousa Torabi
Niket Tandon
Leonid Sigal
22
97
0
26 Sep 2016
RETURNN: The RWTH Extensible Training framework for Universal Recurrent
  Neural Networks
RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks
P. Doetsch
Albert Zeyer
P. Voigtlaender
Ilya Kulikov
Ralf Schluter
Hermann Ney
26
74
0
02 Aug 2016
An Actor-Critic Algorithm for Sequence Prediction
An Actor-Critic Algorithm for Sequence Prediction
Dzmitry Bahdanau
Philemon Brakel
Kelvin Xu
Anirudh Goyal
Ryan J. Lowe
Joelle Pineau
Aaron Courville
Yoshua Bengio
57
635
0
24 Jul 2016
Exact gradient updates in time independent of output size for the
  spherical loss family
Exact gradient updates in time independent of output size for the spherical loss family
Pascal Vincent
A. D. Brébisson
Xavier Bouthillier
8
2
0
26 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
20
1,310
0
02 Jun 2016
A Neural Autoregressive Approach to Collaborative Filtering
A Neural Autoregressive Approach to Collaborative Filtering
Yin Zheng
Bangsheng Tang
Wenkui Ding
Hanning Zhou
BDL
21
223
0
31 May 2016
Syntactically Guided Neural Machine Translation
Syntactically Guided Neural Machine Translation
Felix Stahlberg
Eva Hasler
Aurelien Waite
Bill Byrne
27
65
0
15 May 2016
Theano: A Python framework for fast computation of mathematical
  expressions
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
...
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
40
2,335
0
09 May 2016
Recurrent Batch Normalization
Recurrent Batch Normalization
Tim Cooijmans
Nicolas Ballas
César Laurent
Çağlar Gülçehre
Aaron Courville
ODL
19
410
0
30 Mar 2016
Deep Learning in Bioinformatics
Deep Learning in Bioinformatics
Seonwoo Min
Byunghan Lee
Sungroh Yoon
AI4CE
3DV
36
1,351
0
21 Mar 2016
From virtual demonstration to real-world manipulation using LSTM and MDN
From virtual demonstration to real-world manipulation using LSTM and MDN
Rouhollah Rahmatizadeh
P. Abolghasemi
Aman Behal
Ladislau Bölöni
32
14
0
12 Mar 2016
Parameterized Machine Learning for High-Energy Physics
Parameterized Machine Learning for High-Energy Physics
Pierre Baldi
Kyle Cranmer
Taylor Faucett
Peter Sadowski
D. Whiteson
AI4CE
PINN
26
234
0
28 Jan 2016
Multi-Way, Multilingual Neural Machine Translation with a Shared
  Attention Mechanism
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
Orhan Firat
Kyunghyun Cho
Yoshua Bengio
LRM
AIMat
234
624
0
06 Jan 2016
Dynamic Capacity Networks
Dynamic Capacity Networks
Amjad Almahairi
Nicolas Ballas
Tim Cooijmans
Yin Zheng
Hugo Larochelle
Aaron Courville
33
96
0
24 Nov 2015
Task Loss Estimation for Sequence Prediction
Task Loss Estimation for Sequence Prediction
Dzmitry Bahdanau
Dmitriy Serdyuk
Philemon Brakel
Nan Rosemary Ke
J. Chorowski
Aaron Courville
Yoshua Bengio
38
33
0
19 Nov 2015
Improved Deep Learning Baselines for Ubuntu Corpus Dialogs
Improved Deep Learning Baselines for Ubuntu Corpus Dialogs
Rudolf Kadlec
Martin Schmid
Jan Kleindienst
22
114
0
13 Oct 2015
Batch Normalized Recurrent Neural Networks
Batch Normalized Recurrent Neural Networks
César Laurent
Gabriel Pereyra
Philemon Brakel
Wenjie Qu
Yoshua Bengio
38
213
0
05 Oct 2015
Deep Convolutional Neural Networks for Smile Recognition
Deep Convolutional Neural Networks for Smile Recognition
P. Glauner
CVBM
22
38
0
26 Aug 2015
End-to-End Attention-based Large Vocabulary Speech Recognition
End-to-End Attention-based Large Vocabulary Speech Recognition
Dzmitry Bahdanau
J. Chorowski
Dmitriy Serdyuk
Philemon Brakel
Yoshua Bengio
28
1,147
0
18 Aug 2015
Artificial Neural Networks Applied to Taxi Destination Prediction
Artificial Neural Networks Applied to Taxi Destination Prediction
A. D. Brébisson
Étienne Simon
Alex Auvolat
Pascal Vincent
Yoshua Bengio
27
185
0
31 Jul 2015
Dropout as data augmentation
Dropout as data augmentation
Xavier Bouthillier
K. Konda
Pascal Vincent
Roland Memisevic
43
133
0
29 Jun 2015
Data Generation as Sequential Decision Making
Data Generation as Sequential Decision Making
Philip Bachman
Doina Precup
30
57
0
10 Jun 2015
Efficient Exact Gradient Update for training Deep Networks with Very
  Large Sparse Targets
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
Pascal Vincent
A. D. Brébisson
Xavier Bouthillier
34
49
0
22 Dec 2014
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