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Regularizing RNNs for Caption Generation by Reconstructing The Past with
  The Present
v1v2 (latest)

Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present

30 March 2018
Xinpeng Chen
Lin Ma
Wenhao Jiang
Jian Yao
Wen Liu
ArXiv (abs)PDFHTMLGithub (99★)

Papers citing "Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present"

26 / 26 papers shown
Title
Learning to Guide Decoding for Image Captioning
Learning to Guide Decoding for Image Captioning
Wenhao Jiang
Lin Ma
Xinpeng Chen
Hanwang Zhang
Wen Liu
56
69
0
03 Apr 2018
Text-guided Attention Model for Image Captioning
Text-guided Attention Model for Image Captioning
Jonghwan Mun
Minsu Cho
Bohyung Han
VLM
39
93
0
12 Dec 2016
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks
  for Image Captioning
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning
Long Chen
Hanwang Zhang
Jun Xiao
Liqiang Nie
Jian Shao
Wei Liu
Tat-Seng Chua
68
1,662
0
17 Nov 2016
Boosting Image Captioning with Attributes
Boosting Image Captioning with Attributes
Ting Yao
Yingwei Pan
Yehao Li
Zhaofan Qiu
Tao Mei
VLM
89
622
0
05 Nov 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb
Anirudh Goyal
Ying Zhang
Saizheng Zhang
Aaron Courville
Yoshua Bengio
GAN
122
595
0
27 Oct 2016
SPICE: Semantic Propositional Image Caption Evaluation
SPICE: Semantic Propositional Image Caption Evaluation
Peter Anderson
Basura Fernando
Mark Johnson
Stephen Gould
EGVM
106
1,918
0
29 Jul 2016
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
David M. Krueger
Tegan Maharaj
János Kramár
Mohammad Pezeshki
Nicolas Ballas
Nan Rosemary Ke
Anirudh Goyal
Yoshua Bengio
Aaron Courville
C. Pal
82
317
0
03 Jun 2016
Image Captioning with Semantic Attention
Image Captioning with Semantic Attention
Quanzeng You
Hailin Jin
Zhaowen Wang
Chen Fang
Jiebo Luo
VLM
171
71
0
12 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
381
14,260
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
883
27,412
0
02 Dec 2015
How (not) to Train your Generative Model: Scheduled Sampling,
  Likelihood, Adversary?
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?
Ferenc Huszár
OODDiffMGAN
87
297
0
16 Nov 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural
  Networks
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio
Oriol Vinyals
Navdeep Jaitly
Noam M. Shazeer
152
2,034
0
09 Jun 2015
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Quoc V. Le
Navdeep Jaitly
Geoffrey E. Hinton
ODL
88
721
0
03 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,328
0
11 Feb 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
348
10,079
0
10 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
Junhua Mao
Wenyuan Xu
Yi Yang
Jiang Wang
Zhiheng Huang
Alan Yuille
VLM
171
1,240
0
20 Dec 2014
Deep Visual-Semantic Alignments for Generating Image Descriptions
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
140
5,590
0
07 Dec 2014
CIDEr: Consensus-based Image Description Evaluation
CIDEr: Consensus-based Image Description Evaluation
Ramakrishna Vedantam
C. L. Zitnick
Devi Parikh
295
4,508
0
20 Nov 2014
Show and Tell: A Neural Image Caption Generator
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
249
6,035
0
17 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
480
43,685
0
17 Sep 2014
Recurrent Neural Network Regularization
Recurrent Neural Network Regularization
Wojciech Zaremba
Ilya Sutskever
Oriol Vinyals
ODL
148
2,777
0
08 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
575
27,325
0
01 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,370
0
03 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,777
0
01 May 2014
1