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04/03/2022
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation
Current language generation models suffer from issues such as repetition...
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10/15/2020
Diverse Keyphrase Generation with Neural Unlikelihood Training
In this paper, we study sequence-to-sequence (S2S) keyphrase generation ...
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04/22/2020
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation
Learning disentangled representations of real world data is a challengin...
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12/20/2018
Generating lyrics with variational autoencoder and multi-modal artist embeddings
We present a system for generating song lyrics lines conditioned on the ...
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08/27/2018
Natural Language Generation with Neural Variational Models
In this thesis, we explore the use of deep neural networks for generatio...
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08/13/2018
Disentangled Representation Learning for Text Style Transfer
This paper tackles the problem of disentangling the latent variables of ...
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06/22/2018
Probabilistic Natural Language Generation with Wasserstein Autoencoders
Probabilistic generation of natural language sentences is an important t...
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04/03/2018
Music Genre Classification using Machine Learning Techniques
Categorizing music files according to their genre is a challenging task ...
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12/21/2017