منابع مشابه
Learning Deep Generative Models
Building intelligent systems that are capable of extracting high-level representations from high-dimensional sensory data lies at the core of solving many artificial intelligence–related tasks, including object recognition, speech perception, and language understanding. Theoretical and biological arguments strongly suggest that building such systems requires models with deep architectures that ...
متن کاملLearning Deep Generative Models
Learning Deep Generative Models Building intelligent systems that are capable of extracting high-level representations from high-dimensional sensory data lies at the core of solving many AI related tasks, including object recognition, speech perception, and language understanding. Theoretical and biological arguments strongly suggest that building such systems requires models with deep architec...
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We investigate deep generative models that can exchange multiple modalities bidirectionally, e.g., generating images from corresponding texts and vice versa. Recently, some studies handle multiple modalities on deep generative models, such as variational autoencoders (VAEs). However, these models typically assume that modalities are forced to have a conditioned relation, i.e., we can only gener...
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ژورنال
عنوان ژورنال: Annual Review of Statistics and Its Application
سال: 2015
ISSN: 2326-8298,2326-831X
DOI: 10.1146/annurev-statistics-010814-020120