Florian Mai

According to our database1, Florian Mai authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Triple-Encoders: Representations That Fire Together, Wire Together.
CoRR, 2024

2023
HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition.
CoRR, 2023

BQ-NCO: Bisimulation Quotienting for Generalizable Neural Combinatorial Optimization.
CoRR, 2023

BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HyperMixer: An MLP-based Low Cost Alternative to Transformers.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
HyperMixer: An MLP-based Green AI Alternative to Transformers.
CoRR, 2022

Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2020
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Plug and Play Autoencoders for Conditional Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
On the Tunability of Optimizers in Deep Learning.
CoRR, 2019

CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model.
Proceedings of the 7th International Conference on Learning Representations, 2019

What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function?
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2018
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation.
Proceedings of the ACM Recommender Systems Challenge, 2018

Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text.
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

2017
Comparing Titles vs. Full-text for Multi-Label Classification of Scientific Papers and News Articles.
CoRR, 2017

Using Titles vs. Full-text as Source for Automated Semantic Document Annotation.
Proceedings of the Knowledge Capture Conference, 2017

Reranking-based Recommender System with Deep Learning.
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017


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