Jakob D. Havtorn

According to our database, Jakob D. Havtorn authored at least 12 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study.

Joakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maaløe

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MSViT: Dynamic Mixed-scale Tokenization for Vision Transformers.

Jakob Drachmann Havtorn, Amélie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Self-Supervised Speech Representation Learning: A Review.

Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, Shinji Watanabe

IEEE J. Sel. Top. Signal Process., 2022

A Brief Overview of Unsupervised Neural Speech Representation Learning.

Lasse Borgholt, Jakob Drachmann Havtorn, Joakim Edin, Lars Maaløe, Christian Igel

CoRR, 2022

Benchmarking Generative Latent Variable Models for Speech.

Jakob D. Havtorn, Lasse Borgholt, Søren Hauberg, Jes Frellsen, Lars Maaløe

CoRR, 2022

Model-agnostic out-of-distribution detection using combined statistical tests.

Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sénétaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?

Lasse Borgholt, Jakob Drachmann Havtorn, Mostafa Abdou, Joakim Edin, Lars Maaløe, Anders Søgaard, Christian Igel

CoRR, 2021

Hierarchical VAEs Know What They Don't Know.

Jakob Drachmann Havtorn, Jes Frellsen, Søren Hauberg, Lars Maaløe

Proceedings of the 38th International Conference on Machine Learning, 2021

On Scaling Contrastive Representations for Low-Resource Speech Recognition.

Lasse Borgholt, Tycho M. S. Tax, Jakob D. Havtorn, Lars Maaløe, Christian Igel

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech.

Jakob D. Havtorn, Jan Latko, Joakim Edin, Lasse Borgholt, Lars Maaløe, Lorenzo Belgrano, Nicolai F. Jakobsen, Regitze Sdun, Zeljko Agic

CoRR, 2020

Do End-to-End Speech Recognition Models Care About Context?

Lasse Borgholt, Jakob D. Havtorn, Zeljko Agic, Anders Søgaard, Lars Maaløe, Christian Igel

Proceedings of the Interspeech 2020, 2020

MultiQT: Multimodal learning for real-time question tracking in speech.

Jakob D. Havtorn, Jan Latko, Joakim Edin, Lars Maaløe, Lasse Borgholt, Lorenzo Belgrano, Nicolai Jacobsen, Regitze Sdun, Zeljko Agic

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020