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Learning to Execute

Learning to Execute

17 October 2014
Wojciech Zaremba
Ilya Sutskever
    ODL
ArXivPDFHTML

Papers citing "Learning to Execute"

50 / 112 papers shown
Title
Analysing Mathematical Reasoning Abilities of Neural Models
Analysing Mathematical Reasoning Abilities of Neural Models
D. Saxton
Edward Grefenstette
Felix Hill
Pushmeet Kohli
LRM
21
414
0
02 Apr 2019
The StreetLearn Environment and Dataset
The StreetLearn Environment and Dataset
Piotr Wojciech Mirowski
Andras Banki-Horvath
Keith Anderson
Denis Teplyashin
Karl Moritz Hermann
...
Matthew Koichi Grimes
Karen Simonyan
Koray Kavukcuoglu
Andrew Zisserman
R. Hadsell
3DV
26
64
0
04 Mar 2019
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language
  Learning
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Maxime Chevalier-Boisvert
Dzmitry Bahdanau
Salem Lahlou
Lucas Willems
Chitwan Saharia
Thien Huu Nguyen
Yoshua Bengio
ELM
30
232
0
18 Oct 2018
Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from
  Depth Images
Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images
Yiming Wu
Wei Ji
Xi Li
G. Wang
Jianwei Yin
Fei Wu
3DH
21
14
0
06 Oct 2018
Energy-Based Hindsight Experience Prioritization
Energy-Based Hindsight Experience Prioritization
Rui Zhao
Volker Tresp
11
74
0
02 Oct 2018
Neural Arithmetic Logic Units
Neural Arithmetic Logic Units
Andrew Trask
Felix Hill
Scott E. Reed
Jack W. Rae
Chris Dyer
Phil Blunsom
NAI
24
203
0
01 Aug 2018
Automatically Composing Representation Transformations as a Means for
  Generalization
Automatically Composing Representation Transformations as a Means for Generalization
Michael Chang
Abhishek Gupta
Sergey Levine
Thomas L. Griffiths
26
68
0
12 Jul 2018
Universal Transformers
Universal Transformers
Mostafa Dehghani
Stephan Gouws
Oriol Vinyals
Jakob Uszkoreit
Lukasz Kaiser
37
742
0
10 Jul 2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement
  Learning
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning
Boris Ivanovic
James Harrison
Apoorva Sharma
Mo Chen
Marco Pavone
OffRL
24
57
0
16 Jun 2018
Relational recurrent neural networks
Relational recurrent neural networks
Adam Santoro
Ryan Faulkner
David Raposo
Jack W. Rae
Mike Chrzanowski
T. Weber
Daan Wierstra
Oriol Vinyals
Razvan Pascanu
Timothy Lillicrap
GNN
30
209
0
05 Jun 2018
Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images
Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images
Zhi-Qi Cheng
Xiao-Jun Wu
Yang Liu
Xiansheng Hua
12
76
0
14 Apr 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural
  Networks
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Kun Xu
Lingfei Wu
Zhiguo Wang
Yansong Feng
Michael Witbrock
V. Sheinin
GNN
25
171
0
03 Apr 2018
Deep Spatiotemporal Models for Robust Proprioceptive Terrain
  Classification
Deep Spatiotemporal Models for Robust Proprioceptive Terrain Classification
Abhinav Valada
Wolfram Burgard
27
61
0
02 Apr 2018
Learning to Navigate in Cities Without a Map
Learning to Navigate in Cities Without a Map
Piotr Wojciech Mirowski
Matthew Koichi Grimes
Mateusz Malinowski
Karl Moritz Hermann
Keith Anderson
Denis Teplyashin
Karen Simonyan
Koray Kavukcuoglu
Andrew Zisserman
R. Hadsell
SSL
HAI
30
316
0
31 Mar 2018
Curriculum Learning by Transfer Learning: Theory and Experiments with
  Deep Networks
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
D. Weinshall
Gad Cohen
Dan Amir
ODL
25
239
0
11 Feb 2018
Neural Wikipedian: Generating Textual Summaries from Knowledge Base
  Triples
Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples
Pavlos Vougiouklis
Hady ElSahar
Lucie-Aimée Kaffee
Christophe Gravier
F. Laforest
Jonathon S. Hare
Elena Simperl
18
69
0
01 Nov 2017
Learning the Enigma with Recurrent Neural Networks
Learning the Enigma with Recurrent Neural Networks
S. Greydanus
24
39
0
24 Aug 2017
Reverse Curriculum Generation for Reinforcement Learning
Reverse Curriculum Generation for Reinforcement Learning
Carlos Florensa
David Held
Markus Wulfmeier
Michael Zhang
Pieter Abbeel
34
435
0
17 Jul 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
63
2,293
0
05 Jul 2017
Learning to Pour
Learning to Pour
Yongqiang Huang
Yu Sun
24
18
0
25 May 2017
Automatic Goal Generation for Reinforcement Learning Agents
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
78
498
0
17 May 2017
Spatiotemporal Networks for Video Emotion Recognition
Lijie Fan
Yunjie Ke
25
6
0
03 Apr 2017
Real-time interactive sequence generation and control with Recurrent
  Neural Network ensembles
Real-time interactive sequence generation and control with Recurrent Neural Network ensembles
Memo Akten
M. Grierson
8
4
0
14 Dec 2016
Incremental Sequence Learning
Incremental Sequence Learning
E. Jong
CLL
24
5
0
09 Nov 2016
Divide and Conquer Networks
Divide and Conquer Networks
Alex W. Nowak
David Folqué
Joan Bruna
32
20
0
08 Nov 2016
Learning Continuous Semantic Representations of Symbolic Expressions
Learning Continuous Semantic Representations of Symbolic Expressions
Miltiadis Allamanis
Pankajan Chanthirasegaran
Pushmeet Kohli
Charles Sutton
CLL
NAI
31
99
0
04 Nov 2016
An overview of gradient descent optimization algorithms
An overview of gradient descent optimization algorithms
Sebastian Ruder
ODL
14
6,136
0
15 Sep 2016
Sequential Deep Trajectory Descriptor for Action Recognition with
  Three-stream CNN
Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN
Yemin Shi
Yonghong Tian
Yaowei Wang
Tiejun Huang
19
191
0
10 Sep 2016
Mollifying Networks
Mollifying Networks
Çağlar Gülçehre
Marcin Moczulski
Francesco Visin
Yoshua Bengio
23
46
0
17 Aug 2016
Hierarchical Attention Network for Action Recognition in Videos
Hierarchical Attention Network for Action Recognition in Videos
Yilin Wang
Suhang Wang
Jiliang Tang
Neil O'Hare
Yi-Ju Chang
Baoxin Li
BDL
30
82
0
21 Jul 2016
DeepMath - Deep Sequence Models for Premise Selection
DeepMath - Deep Sequence Models for Premise Selection
Alexander A. Alemi
François Chollet
N. Eén
G. Irving
Christian Szegedy
Josef Urban
LRM
AIMat
11
228
0
14 Jun 2016
Stochastic Function Norm Regularization of Deep Networks
Stochastic Function Norm Regularization of Deep Networks
Amal Rannen Triki
Anderson C. A. Nascimento
22
273
0
30 May 2016
Video Summarization with Long Short-term Memory
Video Summarization with Long Short-term Memory
Ke Zhang
Wei-Lun Chao
Fei Sha
Kristen Grauman
32
682
0
26 May 2016
Self Paced Deep Learning for Weakly Supervised Object Detection
Self Paced Deep Learning for Weakly Supervised Object Detection
E. Sangineto
Moin Nabi
D. Ćulibrk
N. Sebe
WSOD
SSL
33
116
0
24 May 2016
Query-Efficient Imitation Learning for End-to-End Autonomous Driving
Query-Efficient Imitation Learning for End-to-End Autonomous Driving
Jiakai Zhang
Kyunghyun Cho
10
210
0
20 May 2016
Character-Level Question Answering with Attention
Character-Level Question Answering with Attention
David Golub
Xiaodong He
24
184
0
04 Apr 2016
Learning Typographic Style
Learning Typographic Style
S. Baluja
30
15
0
13 Mar 2016
Image Captioning and Visual Question Answering Based on Attributes and
  External Knowledge
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
Qi Wu
Chunhua Shen
Anton Van Den Hengel
Peng Wang
A. Dick
27
360
0
09 Mar 2016
Super Mario as a String: Platformer Level Generation Via LSTMs
Super Mario as a String: Platformer Level Generation Via LSTMs
A. Summerville
Michael Mateas
27
149
0
02 Mar 2016
Noisy Activation Functions
Noisy Activation Functions
Çağlar Gülçehre
Marcin Moczulski
Misha Denil
Yoshua Bengio
9
283
0
01 Mar 2016
Disentangled Representations in Neural Models
Disentangled Representations in Neural Models
William F. Whitney
OOD
OCL
DRL
30
18
0
07 Feb 2016
Supervised and Semi-Supervised Text Categorization using LSTM for Region
  Embeddings
Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings
Rie Johnson
Tong Zhang
AI4TS
16
255
0
07 Feb 2016
Long Short-Term Memory-Networks for Machine Reading
Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng
Li Dong
Mirella Lapata
AIMat
RALM
34
1,111
0
25 Jan 2016
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
...
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
19
2,954
0
08 Dec 2015
Neural Enquirer: Learning to Query Tables with Natural Language
Neural Enquirer: Learning to Query Tables with Natural Language
Pengcheng Yin
Zhengdong Lu
Hang Li
B. Kao
LMTD
4
40
0
03 Dec 2015
Neural Random-Access Machines
Neural Random-Access Machines
Karol Kurach
Marcin Andrychowicz
Ilya Sutskever
OOD
BDL
26
156
0
19 Nov 2015
Neural Programmer-Interpreters
Neural Programmer-Interpreters
Scott E. Reed
Nando de Freitas
31
405
0
19 Nov 2015
Deep Kalman Filters
Deep Kalman Filters
Rahul G. Krishnan
Uri Shalit
David Sontag
BDL
AI4TS
19
370
0
16 Nov 2015
Improving performance of recurrent neural network with relu nonlinearity
Improving performance of recurrent neural network with relu nonlinearity
S. Talathi
Aniket A. Vartak
ODL
18
88
0
12 Nov 2015
On End-to-End Program Generation from User Intention by Deep Neural
  Networks
On End-to-End Program Generation from User Intention by Deep Neural Networks
Lili Mou
Rui Men
Ge Li
Lu Zhang
Zhi Jin
21
46
0
25 Oct 2015
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