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 | 54* | 2020 |
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 | 41 | 2018 |
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 9th Knowledge Capture Conference, 1-4, 2017 | 35* | 2017 |
Plug and play autoencoders for conditional text generation F Mai, N Pappas, I Montero, NA Smith, J Henderson arXiv preprint arXiv:2010.02983, 2020 | 32 | 2020 |
Bq-nco: Bisimulation quotienting for efficient neural combinatorial optimization D Drakulic, S Michel, F Mai, A Sors, JM Andreoli Advances in Neural Information Processing Systems 36, 2024 | 29* | 2024 |
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 | 28 | 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 | 14 | 2019 |
Hypermixer: An mlp-based low cost alternative to transformers F Mai, A Pannatier, F Fehr, H Chen, F Marelli, F Fleuret, J Henderson arXiv preprint arXiv:2203.03691, 2022 | 13* | 2022 |
HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition F Mai, J Zuluaga-Gomez, T Parcollet, P Motlicek arXiv preprint arXiv:2305.18281, 2023 | 9 | 2023 |
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 | 6 | 2018 |
Bag-of-vectors autoencoders for unsupervised conditional text generation F Mai, J Henderson arXiv preprint arXiv:2110.07002, 2021 | 5 | 2021 |
Learning entailment-based sentence embeddings from natural language inference RK Mahabadi, F Mai, J Henderson | 3 | 2019 |
Natural language understanding A Castle, MF Moens, M Trusca, F Mai, J Sun | 2 | 1989 |
Reranking-based recommender system with deep learning A Saleh, F Mai, C Nishioka, A Scherp Gesellschaft für Informatik, Bonn, 2017 | 1 | 2017 |
Open-Source Conversational AI with SpeechBrain 1.0 M Ravanelli, T Parcollet, A Moumen, S de Langen, C Subakan, ... arXiv preprint arXiv:2407.00463, 2024 | | 2024 |
Learning to Plan for Language Modeling from Unlabeled Data N Cornille, MF Moens, F Mai arXiv preprint arXiv:2404.00614, 2024 | | 2024 |
Triple-Encoders: Representations That Fire Together, Wire Together JJ Erker, F Mai, N Reimers, G Spanakis, I Gurevych arXiv preprint arXiv:2402.12332, 2024 | | 2024 |
Text Representation Learning for Low Cost Natural Language Understanding JFJF Mai EPFL, 2023 | | 2023 |