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ORCIDFlorian Mai
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2020 – today
- 2020
[c9]Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson:
Plug and Play Autoencoders for Conditional Text Generation. EMNLP (1) 2020: 6076-6092- [c8]Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi, François Fleuret:
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning. ICML 2020: 9036-9045 - [i6]Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson:
Plug and Play Autoencoders for Conditional Text Generation. CoRR abs/2010.02983 (2020)
2010 – 2019
- 2019
- [c7]Lukas Galke, Florian Mai, Ansgar Scherp:
What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function? GI-Jahrestagung 2019: 287-288 - [c6]Florian Mai, Lukas Galke, Ansgar Scherp:
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model. ICLR (Poster) 2019 - [i5]Florian Mai, Lukas Galke, Ansgar Scherp:
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model. CoRR abs/1902.06423 (2019) - [i4]Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp:
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. CoRR abs/1907.12366 (2019) - [i3]Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi, François Fleuret:
On the Tunability of Optimizers in Deep Learning. CoRR abs/1910.11758 (2019) - 2018
- [c5]Florian Mai, Lukas Galke
, Ansgar Scherp:
Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text. JCDL 2018: 169-178 - [c4]Iacopo Vagliano, Lukas Galke, Florian Mai, Ansgar Scherp:
Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation. RecSys Challenge 2018: 5:1-5:6 - [c3]Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp:
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. UMAP 2018: 197-205 - [i2]Florian Mai, Lukas Galke, Ansgar Scherp:
Using Deep Learning For Title-Based Semantic Subject Indexing To Reach Competitive Performance to Full-Text. CoRR abs/1801.06717 (2018) - 2017
- [c2]Ahmed Saleh, Florian Mai, Chifumi Nishioka, Ansgar Scherp:
Reranking-based Recommender System with Deep Learning. GI-Jahrestagung 2017: 2169-2175 - [c1]Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp:
Using Titles vs. Full-text as Source for Automated Semantic Document Annotation. K-CAP 2017: 20:1-20:4 - [i1]Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp:
Comparing Titles vs. Full-text for Multi-Label Classification of Scientific Papers and News Articles. CoRR abs/1705.05311 (2017)
Coauthor Index
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