Florian Mai
Cited by
Cited by
Using titles vs. full-text as source for automated semantic document annotation
L Galke, F Mai, A Schelten, D Brunsch, A Scherp
Proceedings of the Knowledge Capture Conference, 1-4, 2017
Using deep learning for title-based semantic subject indexing to reach competitive performance to full-text
F Mai, L Galke, A Scherp
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries …, 2018
Optimizer benchmarking needs to account for hyperparameter tuning
PT Sivaprasad, F Mai, T Vogels, M Jaggi, F Fleuret
International Conference on Machine Learning, 9036-9045, 2020
Multi-modal adversarial autoencoders for recommendations of citations and subject labels
L Galke, F Mai, I Vagliano, A Scherp
Proceedings of the 26th Conference on User Modeling, Adaptation and …, 2018
CBOW is not all you need: Combining CBOW with the compositional matrix space model
F Mai, L Galke, A Scherp
arXiv preprint arXiv:1902.06423, 2019
Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation
I Vagliano, L Galke, F Mai, A Scherp
Proceedings of the ACM Recommender Systems Challenge 2018, 1-6, 2018
Plug and Play Autoencoders for Conditional Text Generation
F Mai, N Pappas, I Montero, NA Smith, J Henderson
arXiv preprint arXiv:2010.02983, 2020
Learning Entailment-Based Sentence Embeddings from Natural Language Inference
RK Mahabadi, F Mai, J Henderson
Reranking-based Recommender System with Deep Learning
A Saleh, F Mai, C Nishioka, A Scherp
INFORMATIK 2017, 2017
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