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Learning to Predict: A Fast Re-constructive Method to Generate Multimodal Embeddings

Learning to Predict: A Fast Re-constructive Method to Generate Multimodal Embeddings

Guillem Collell
Ted Zhang
Marie-Francine Moens
ArXiv (abs)PDFHTML

Papers citing "Learning to Predict: A Fast Re-constructive Method to Generate Multimodal Embeddings"

5 / 5 papers shown
Title
Combining Language and Vision with a Multimodal Skip-gram Model
Combining Language and Vision with a Multimodal Skip-gram Model
Angeliki Lazaridou
N. Pham
Marco Baroni
VLM
124
282
0
12 Jan 2015
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
333
2,949
0
15 Dec 2014
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation
Felix Hill
Roi Reichart
Anna Korhonen
114
1,304
0
15 Aug 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
226
3,420
0
14 May 2014
Zero-Shot Learning Through Cross-Modal Transfer
Zero-Shot Learning Through Cross-Modal Transfer
R. Socher
M. Ganjoo
Hamsa Sridhar
Osbert Bastani
Christopher D. Manning
A. Ng
BDLVLM
126
1,469
0
16 Jan 2013

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