About: covid:PMC7148232

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An Entity of Type : owl:Thing, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
Creator	Castells, Pablo Martins, Flávio Batra, Vishwash Ferhatosmanoglu, Hakan Guha, Tanaya Haldar, Aparajita He, Yulan Vogiatzis, George Ferro, Nicola Jose, Joemon Magalhães, João Silva, Mário Yilmaz, Emine
is schema:about of	named entity 'SEQUENCE' named entity 'Topic Modeling' named entity 'image reconstruction' named entity 'image retrieval' named entity 'feature space' named entity 'image representation' named entity 'LDA' named entity 'semantics' named entity 'feature space' named entity 'variational autoencoder' named entity 'support vector machine' named entity 'deep neural networks' named entity 'seq2seq' named entity 'contextual information' named entity 'seq2seq' named entity 'context-aware' named entity 'test set' named entity 'contextual information' named entity 'text segmentation' named entity 'RNN' named entity 'co-reference' named entity 'random variables' named entity 'representation space' named entity 'language models' named entity 'seq2seq' named entity 'GRU' named entity 'Text Encoder' named entity 'image representation' named entity 'Stepwise' named entity 'Semantic' named entity 'image retrieval' named entity 'hinge loss' named entity '0.51' named entity 'probability' named entity 'GRU' named entity 'retrieval systems' named entity 'vector' named entity 'latent variables' named entity 'variational autoencoder' named entity 'inverse problem' named entity 'generation loss' named entity 'parallel corpus' named entity 'latent variables' named entity 'vector' named entity 'hyperparameters' named entity 'metric learning' named entity 'cooking recipe' named entity 'semantics' named entity 'seq2seq' named entity 'distance function' named entity 'semantically related' named entity 'generative model' named entity 'random sample' named entity 'deep belief networks' named entity 'semantic content' named entity 'LDA' named entity 't-SNE' named entity 'RNNs' named entity 'canonical correlation analysis' named entity 'recurrent neural network' named entity 'Cooking Recipe' named entity 'Flickr' named entity 'semantics' named entity 'Recurrent Sequence' named entity 'multi-layer perceptron' named entity 'convolutional neural networks' named entity 'representation space' named entity 'GRU' named entity 'seq2seq' named entity 'similarity search' named entity 'vector' named entity 'seq2seq' named entity 'Objective Function' named entity 'seq2seq' named entity 'contextual information' named entity 'topic modelling' named entity 'learning objective' named entity 'Recurrent Neural Networks' named entity 'semantically similar' named entity '0.45' named entity 'latent semantic' named entity 'GRU' named entity 'RNNs' named entity 'question answering' named entity 'ImageNet' named entity 'seq2seq' named entity 'loss function'

Attributes

Values

Creator

Castells, Pablo
Martins, Flávio
Batra, Vishwash
Ferhatosmanoglu, Hakan
Guha, Tanaya
Haldar, Aparajita
He, Yulan
Vogiatzis, George
Ferro, Nicola
Jose, Joemon
Magalhães, João
Silva, Mário
Yilmaz, Emine

is schema:about of

named entity 'SEQUENCE'
named entity 'Topic Modeling'
named entity 'image reconstruction'
named entity 'image retrieval'
named entity 'feature space'
named entity 'image representation'
named entity 'LDA'
named entity 'semantics'
named entity 'feature space'
named entity 'variational autoencoder'
named entity 'support vector machine'
named entity 'deep neural networks'
named entity 'seq2seq'
named entity 'contextual information'
named entity 'seq2seq'
named entity 'context-aware'
named entity 'test set'
named entity 'contextual information'
named entity 'text segmentation'
named entity 'RNN'
named entity 'co-reference'
named entity 'random variables'
named entity 'representation space'
named entity 'language models'
named entity 'seq2seq'
named entity 'GRU'
named entity 'Text Encoder'
named entity 'image representation'
named entity 'Stepwise'
named entity 'Semantic'
named entity 'image retrieval'
named entity 'hinge loss'
named entity '0.51'
named entity 'probability'
named entity 'GRU'
named entity 'retrieval systems'
named entity 'vector'
named entity 'latent variables'
named entity 'variational autoencoder'
named entity 'inverse problem'
named entity 'generation loss'
named entity 'parallel corpus'
named entity 'latent variables'
named entity 'vector'
named entity 'hyperparameters'
named entity 'metric learning'
named entity 'cooking recipe'
named entity 'semantics'
named entity 'seq2seq'
named entity 'distance function'
named entity 'semantically related'
named entity 'generative model'
named entity 'random sample'
named entity 'deep belief networks'
named entity 'semantic content'
named entity 'LDA'
named entity 't-SNE'
named entity 'RNNs'
named entity 'canonical correlation analysis'
named entity 'recurrent neural network'
named entity 'Cooking Recipe'
named entity 'Flickr'
named entity 'semantics'
named entity 'Recurrent Sequence'
named entity 'multi-layer perceptron'
named entity 'convolutional neural networks'
named entity 'representation space'
named entity 'GRU'
named entity 'seq2seq'
named entity 'similarity search'
named entity 'vector'
named entity 'seq2seq'
named entity 'Objective Function'
named entity 'seq2seq'
named entity 'contextual information'
named entity 'topic modelling'
named entity 'learning objective'
named entity 'Recurrent Neural Networks'
named entity 'semantically similar'
named entity '0.45'
named entity 'latent semantic'
named entity 'GRU'
named entity 'RNNs'
named entity 'question answering'
named entity 'ImageNet'
named entity 'seq2seq'
named entity 'loss function'

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