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Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
v1v2v3 (latest)

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

10 February 2015
Ke Xu
Jimmy Ba
Ryan Kiros
Dong Wang
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

50 / 3,580 papers shown
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
Chen-Yu Lee
Simon Osindero
VLM
209
483
0
09 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
230
374
0
09 Mar 2016
Dynamic Memory Networks for Visual and Textual Question Answering
Dynamic Memory Networks for Visual and Textual Question Answering
Caiming Xiong
Stephen Merity
R. Socher
230
766
0
04 Mar 2016
Noisy Activation Functions
Noisy Activation Functions
Çağlar Gülçehre
Marcin Moczulski
Misha Denil
Yoshua Bengio
250
300
0
01 Mar 2016
Recurrent Neural Network Grammars
Recurrent Neural Network Grammars
Chris Dyer
A. Kuncoro
Miguel Ballesteros
Noah A. Smith
GNN
322
538
0
25 Feb 2016
Learning to Generate with Memory
Learning to Generate with Memory
Chongxuan Li
Jun Zhu
Bo Zhang
BDL
216
44
0
24 Feb 2016
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense
  Image Annotations
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Ranjay Krishna
Yuke Zhu
Oliver Groth
Justin Johnson
Kenji Hata
...
Yannis Kalantidis
Li Li
David A. Shamma
Michael S. Bernstein
Fei-Fei Li
1.9K
6,235
0
23 Feb 2016
Contextual LSTM (CLSTM) models for Large scale NLP tasks
Contextual LSTM (CLSTM) models for Large scale NLP tasks
Shalini Ghosh
Oriol Vinyals
B. Strope
Scott Roy
Tom Dean
Larry Heck
168
217
0
19 Feb 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.5K
19,805
0
16 Feb 2016
Look, Listen and Learn - A Multimodal LSTM for Speaker Identification
Look, Listen and Learn - A Multimodal LSTM for Speaker Identification
Jimmy S. J. Ren
Yongtao Hu
Yu-Wing Tai
Chuan Wang
Kepeng Xu
Wenxiu Sun
Qiong Yan
162
111
0
13 Feb 2016
Global Deconvolutional Networks for Semantic Segmentation
Global Deconvolutional Networks for Semantic Segmentation
Vladimir Nekrasov
Janghoon Ju
Jaesik Choi
SSeg
137
12
0
12 Feb 2016
Attentive Pooling Networks
Attentive Pooling Networks
Cicero Nogueira dos Santos
Ming Tan
Bing Xiang
Bowen Zhou
190
354
0
11 Feb 2016
A Convolutional Attention Network for Extreme Summarization of Source
  Code
A Convolutional Attention Network for Extreme Summarization of Source Code
Miltiadis Allamanis
Hao Peng
Charles Sutton
AI4TS
283
607
0
09 Feb 2016
Value Iteration Networks
Value Iteration Networks
Aviv Tamar
Yi Wu
G. Thomas
Sergey Levine
Pieter Abbeel
413
675
0
09 Feb 2016
Predicting Clinical Events by Combining Static and Dynamic Information
  Using Recurrent Neural Networks
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks
Cristóbal Esteban
O. Staeck
Yinchong Yang
Volker Tresp
210
163
0
08 Feb 2016
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label
  Classification
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
André F. T. Martins
Ramón Fernández Astudillo
501
796
0
05 Feb 2016
Long-term Planning by Short-term Prediction
Long-term Planning by Short-term Prediction
Shai Shalev-Shwartz
Nir Ben-Zrihem
Aviad Cohen
Amnon Shashua
124
62
0
04 Feb 2016
Survey on the attention based RNN model and its applications in computer
  vision
Survey on the attention based RNN model and its applications in computer vision
Feng Wang
David Tax
AI4TSAIMat
136
128
0
25 Jan 2016
Modeling Coverage for Neural Machine Translation
Modeling Coverage for Neural Machine Translation
Zhaopeng Tu
Zhengdong Lu
Yang Liu
Xiaohua Liu
Hang Li
231
762
0
19 Jan 2016
Multimodal Pivots for Image Caption Translation
Multimodal Pivots for Image Caption Translation
Julian Hitschler
Shigehiko Schamoni
Stefan Riezler
326
100
0
15 Jan 2016
Automatic Description Generation from Images: A Survey of Models,
  Datasets, and Evaluation Measures
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
Raffaella Bernardi
Ruken Cakici
Desmond Elliott
Aykut Erdem
Erkut Erdem
Nazli Ikizler-Cinbis
Frank Keller
A. Muscat
Barbara Plank
EGVMVLM
218
377
0
15 Jan 2016
Implicit Distortion and Fertility Models for Attention-based
  Encoder-Decoder NMT Model
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model
Shi Feng
Shujie Liu
Mu Li
M. Zhou
225
46
0
13 Jan 2016
Learning to Compose Neural Networks for Question Answering
Learning to Compose Neural Networks for Question Answering
Jacob Andreas
Marcus Rohrbach
Trevor Darrell
Dan Klein
NAIKELMBDLCoGe
440
576
0
07 Jan 2016
Language to Logical Form with Neural Attention
Language to Logical Form with Neural Attention
Li Dong
Mirella Lapata
AI4CENAI
323
758
0
06 Jan 2016
Incorporating Structural Alignment Biases into an Attentional Neural
  Translation Model
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model
Trevor Cohn
Cong Duy Vu Hoang
Ekaterina Vymolova
Kaisheng Yao
Chris Dyer
Gholamreza Haffari
217
175
0
06 Jan 2016
Mutual Information and Diverse Decoding Improve Neural Machine
  Translation
Mutual Information and Diverse Decoding Improve Neural Machine Translation
Jiwei Li
Dan Jurafsky
154
126
0
04 Jan 2016
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
Mohamed Elhoseiny
Ahmed Elgammal
Babak Saleh
354
41
0
31 Dec 2015
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory
  Problems
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems
Colin Raffel
D. Ellis
CLL
255
316
0
29 Dec 2015
Learning Transferrable Knowledge for Semantic Segmentation with Deep
  Convolutional Neural Network
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong
Junhyuk Oh
Bohyung Han
Honglak Lee
SSeg
248
174
0
24 Dec 2015
A Planning based Framework for Essay Generation
A Planning based Framework for Essay Generation
Bing Qin
Duyu Tang
Xinwei Geng
Dandan Ning
Jiahao Liu
Ting Liu
106
5
0
18 Dec 2015
ABCNN: Attention-Based Convolutional Neural Network for Modeling
  Sentence Pairs
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
Wenpeng Yin
Hinrich Schütze
Bing Xiang
Bowen Zhou
371
963
0
16 Dec 2015
Agreement-based Joint Training for Bidirectional Attention-based Neural
  Machine Translation
Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation
Yong Cheng
Shiqi Shen
Zhongjun He
W. He
Hua Wu
Maosong Sun
Yang Liu
260
74
0
15 Dec 2015
Distilling Knowledge from Deep Networks with Applications to Healthcare
  Domain
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain
Zhengping Che
S. Purushotham
R. Khemani
Yan Liu
186
143
0
11 Dec 2015
Explaining NonLinear Classification Decisions with Deep Taylor
  Decomposition
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition
G. Montavon
Sebastian Lapuschkin
Alexander Binder
Wojciech Samek
Klaus-Robert Muller
FAtt
248
822
0
08 Dec 2015
Thinking Required
Thinking Required
K. Rocki
AI4CE
97
0
0
07 Dec 2015
Deep Attention Recurrent Q-Network
Deep Attention Recurrent Q-Network
Ivan Sorokin
Alexey Seleznev
Mikhail Pavlov
A. Fedorov
Anastasiia Ignateva
179
166
0
05 Dec 2015
Attribute2Image: Conditional Image Generation from Visual Attributes
Attribute2Image: Conditional Image Generation from Visual Attributes
Xinchen Yan
Jimei Yang
Kihyuk Sohn
Honglak Lee
DRLGAN
306
794
0
02 Dec 2015
A C-LSTM Neural Network for Text Classification
A C-LSTM Neural Network for Text Classification
Chunting Zhou
Chonglin Sun
Zhiyuan Liu
F. Lau
AILaw
268
911
0
27 Nov 2015
Recurrent Instance Segmentation
Recurrent Instance Segmentation
Bernardino Romera-Paredes
Juil Sock
SSeg
287
334
0
25 Nov 2015
Towards Universal Paraphrastic Sentence Embeddings
Towards Universal Paraphrastic Sentence Embeddings
John Wieting
Joey Tianyi Zhou
Kevin Gimpel
Karen Livescu
AI4TS
384
565
0
25 Nov 2015
Learning with Memory Embeddings
Learning with Memory Embeddings
Volker Tresp
Cristóbal Esteban
Yinchong Yang
S. Baier
Denis Krompass
530
32
0
25 Nov 2015
Natural Language Understanding with Distributed Representation
Natural Language Understanding with Distributed Representation
Dong Wang
GNNBDL
194
55
0
24 Nov 2015
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Justin Johnson
A. Karpathy
Li Fei-Fei
VLM
361
1,217
0
24 Nov 2015
Where To Look: Focus Regions for Visual Question Answering
Where To Look: Focus Regions for Visual Question Answering
Kevin J. Shih
Saurabh Singh
Derek Hoiem
235
477
0
23 Nov 2015
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin
Marco Ciccone
Adriana Romero
Kyle Kastner
Dong Wang
Yoshua Bengio
Matteo Matteucci
Aaron Courville
VLMSSeg
331
262
0
22 Nov 2015
End-to-end Learning of Action Detection from Frame Glimpses in Videos
End-to-end Learning of Action Detection from Frame Glimpses in Videos
Serena Yeung
Olga Russakovsky
Greg Mori
Li Fei-Fei
EgoV
401
622
0
22 Nov 2015
Sequence Level Training with Recurrent Neural Networks
Sequence Level Training with Recurrent Neural Networks
MarcÁurelio Ranzato
S. Chopra
Michael Auli
Wojciech Zaremba
741
1,712
0
20 Nov 2015
First Step toward Model-Free, Anonymous Object Tracking with Recurrent
  Neural Networks
First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks
Quan Gan
Qipeng Guo
Zheng Zhang
Dong Wang
VOT
188
52
0
19 Nov 2015
Feature-based Attention in Convolutional Neural Networks
Feature-based Attention in Convolutional Neural Networks
Grace W. Lindsay
146
17
0
19 Nov 2015
Recurrent Models for Auditory Attention in Multi-Microphone Distance
  Speech Recognition
Recurrent Models for Auditory Attention in Multi-Microphone Distance Speech Recognition
Suyoun Kim
Ian Lane
101
26
0
19 Nov 2015
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