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Plug and Play Autoencoders for Conditional Text Generation
Text autoencoders are commonly used for conditional generation tasks suc...
10/06/2020 ∙ by Florian Mai, et al. ∙
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On the Tunability of Optimizers in Deep Learning
There is no consensus yet on the question whether adaptive gradient meth...
10/25/2019 ∙ by Prabhu Teja Sivaprasad, et al. ∙
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Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels
We present multi-modal adversarial autoencoders for recommendation and e...
07/22/2019 ∙ by Lukas Galke, et al. ∙
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CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model
Continuous Bag of Words (CBOW) is a powerful text embedding method. Due ...
02/18/2019 ∙ by Florian Mai, et al. ∙
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Using Deep Learning For Title-Based Semantic Subject Indexing To Reach Competitive Performance to Full-Text
For (semi-)automated subject indexing systems in digital libraries, it i...
01/20/2018 ∙ by Florian Mai, et al. ∙
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Using Titles vs. Full-text as Source for Automated Semantic Document Annotation
A significant part of the largest Knowledge Graph today, the Linked Open...
05/15/2017 ∙ by Lukas Galke, et al. ∙
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