Amanda Olmin

Orcid: 0000-0003-4209-874X

According to our database¹, Amanda Olmin authored at least 9 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

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Bibliography

2024

Perspectives on Predictive and Annotation Uncertainty in Probabilistic Machine Learning ; Perspektiv pÃ¥ prediktiv- och etikettosÃ¤kerhet i probabilistisk maskininlÃ¤rning.

[BibT_eX]

[DOI]

Amanda Olmin

PhD thesis, 2024

Towards understanding epoch-wise double descent in two-layer linear neural networks.

[BibT_eX]

[DOI]

Amanda Olmin

Fredrik Lindsten

CoRR, 2024

On the connection between Noise-Contrastive Estimation and Contrastive Divergence.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Generalised Active Learning With Annotation Quality Selection.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2022

Active Learning with Weak Labels for Gaussian Processes.

[BibT_eX]

[DOI]

CoRR, 2022

Active Learning with Weak Supervision for Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Robustness and Reliability When Training With Noisy Labels.

[BibT_eX]

[DOI]

Amanda Olmin

Fredrik Lindsten

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

2021

Self-Supervised Representation Learning for Content Based Image Retrieval of Complex Scenes.

[BibT_eX]

[DOI]

Hariprasath Govindarajan

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

2020

A General Framework for Ensemble Distribution Distillation.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Amanda Olmin

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