Reranking-based Recommender System with Deep Learning
Ahmed Saleh, Florian Mai, Chifumi Nishioka and Ansgar Scherp. (2017). "Reranking-based Recommender System with Deep Learning." INFORMATIK 2017.
Ahmed Saleh, Florian Mai, Chifumi Nishioka and Ansgar Scherp. (2017). "Reranking-based Recommender System with Deep Learning." INFORMATIK 2017.
Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch and Ansgar Scherp. (2017). "Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text." KCAP 2017.
Florian Mai, Lukas Galke and Ansgar Scherp. (2018). "Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text." JCDL 2018.
Lukas Galke, Florian Mai, Iacopo Vagliano and Ansgar Scherp. (2018). "Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels." UMAP 2018.
Iacopo Vagliano, Lukas Galke, Florian Mai and Ansgar Scherp. (2018). "Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation." RecSys 2018.
Florian Mai, Lukas Galke and Ansgar Scherp (2019). "CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model." ICLR 2019.
Rabeeh Karimi Mahabadi*, Florian Mai* and James Henderson (2019). "Learning Entailment-Based Sentence Embeddings from Natural Language Inference." OpenReview.
Prabhu Teja Sivaprasad*, Florian Mai*, Thijs Vogels, Martin Jaggi and Francois Fleuret (2020). "Optimizer Benchmarking Needs to Account for Hyperparameter Tuning." ICML 2020.
Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith and James Henderson. (2020). "Plug and Play Autoencoders for Conditional Text Generation." EMNLP 2020.
Florian Mai and James Henderson. (2022). "Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation." AACL 2022.
Darko Drakulic, Sofia Michel, Florian Mai, Arnaud Sors, Jean-Marc Andreoli (2023). "BQ-NCO: Bisimulation Quotienting for Generalizable Neural Combinatorial Optimization." NeurIPS 2023.
Florian Mai, Arnaud Pannatier, Fabio Fehr, Haolin Chen, François Marelli, François Fleuret and James Henderson. (2020). "HyperMixer: An MLP-based Low Cost Alternative to Transformers." ACL 2023.
Florian Mai, Juan Zuluaga-Gomez, Titouan Parcollet and Petr Motlicek (2023). "HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition." InterSpeech 2023.
Justus-Jonas Erker, Florian Mai, Nils Reimers, Gerasimos Spanakis, and Iryna Gurevych (2024). "Triple-Encoders: Representations That Fire Together, Wire Together." arXiv.