Követés
Florian Mai
Florian Mai
Postdoc, Uni Bonn
E-mail megerősítve itt: bit.uni-bonn.de - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
66*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, 77416-77429, 2023
59*2023
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
462018
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
36*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
352020
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
302018
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
20*2022
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
182019
Hyperconformer: Multi-head hypermixer for efficient speech recognition
F Mai, J Zuluaga-Gomez, T Parcollet, P Motlicek
arXiv preprint arXiv:2305.18281, 2023
162023
Open-source conversational ai with speechbrain 1.0
M Ravanelli, T Parcollet, A Moumen, S de Langen, C Subakan, ...
Journal of Machine Learning Research 25 (333), 1-11, 2024
142024
Learning to plan for language modeling from unlabeled data
N Cornille, MF Moens, F Mai
arXiv preprint arXiv:2404.00614, 2024
72024
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
72018
Bag-of-vectors autoencoders for unsupervised conditional text generation
F Mai, J Henderson
arXiv preprint arXiv:2110.07002, 2021
42021
Learning entailment-based sentence embeddings from natural language inference
RK Mahabadi, F Mai, J Henderson
32019
Natural language understanding
A Castle, MF Moens, M Trusca, F Mai, J Sun
21989
Reranking-based recommender system with deep learning
A Saleh, F Mai, C Nishioka, A Scherp
INFORMATIK 2017, 2169-2175, 2017
12017
Improving Language Modeling by Increasing Test-time Planning Compute
F Mai, N Cornille, MF Moens
Eighth Widening NLP Workshop (WiNLP 2024) Phase II, 0
1
End-to-end Planner Training for Language Modeling
N Cornille, F Mai, J Sun, MF Moens
arXiv preprint arXiv:2410.12492, 2024
2024
Learning to Plan Long-Term for Language Modeling
F Mai, N Cornille, MF Moens
arXiv preprint arXiv:2409.00070, 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
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Cikkek 1–20