Open AccessContextual RNN-GANs for Abstract Reasoning Diagram Generation
Author(s) -
Viveka Kulharia,
Arnab Ghosh,
Amitabha Mukerjee,
Vinay P. Namboodiri,
Mohit Bansal
Publication year - 2017
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v31i1.10738
Subject(s) - computer science , generator (circuit theory) , recurrent neural network , discriminator , context (archaeology) , diagrammatic reasoning , sequence (biology) , artificial intelligence , generative grammar , task (project management) , adversarial system , object (grammar) , frame (networking) , machine learning , artificial neural network , programming language , telecommunications , biology , detector , economics , management , power (physics) , quantum mechanics , genetics , paleontology , physics
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