Amanda Olmin

12 papers A 2Journal 5Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	On the connection between Noise-Contrastive Estimation and Contrastive Divergence. AISTATS Amanda Olmin, Jakob Lindqvist, Lennart Svensson, Fredrik Lindsten
2024	J	`jnl`	On the connection between Noise-Contrastive Estimation and Contrastive Divergence. CoRR Amanda Olmin, Jakob Lindqvist, Lennart Svensson, Fredrik Lindsten
2024	—	`—`	Perspectives on Predictive and Annotation Uncertainty in Probabilistic Machine Learning ; Perspektiv pÃ¥ prediktiv- och etikettosÃ¤kerhet i probabilistisk maskininlÃ¤rning. Amanda Olmin
2024	J	`jnl`	Towards understanding epoch-wise double descent in two-layer linear neural networks. CoRR Amanda Olmin, Fredrik Lindsten
2023	—	`conf`	Generalised Active Learning With Annotation Quality Selection. MLSP Jakob Lindqvist, Amanda Olmin, Lennart Svensson, Fredrik Lindsten
2022	J	`jnl`	Active Learning with Weak Labels for Gaussian Processes. CoRR Amanda Olmin, Jakob Lindqvist, Lennart Svensson, Fredrik Lindsten
2022	—	`conf`	Active Learning with Weak Supervision for Gaussian Processes. ICONIP (5) Amanda Olmin, Jakob Lindqvist, Lennart Svensson, Fredrik Lindsten
2022	A	`conf`	Robustness and Reliability When Training With Noisy Labels. AISTATS Amanda Olmin, Fredrik Lindsten
2021	J	`jnl`	Robustness and reliability when training with noisy labels. CoRR Amanda Olmin, Fredrik Lindsten
2021	—	`conf`	Self-Supervised Representation Learning for Content Based Image Retrieval of Complex Scenes. IV Workshops Hariprasath Govindarajan, Peter Lindskog, Dennis Lundström, Amanda Olmin, Jacob Roll, Fredrik Lindsten
2020	—	`conf`	A General Framework for Ensemble Distribution Distillation. MLSP Jakob Lindqvist, Amanda Olmin, Fredrik Lindsten, Lennart Svensson
2020	J	`jnl`	A general framework for ensemble distribution distillation. CoRR Jakob Lindqvist, Amanda Olmin, Fredrik Lindsten, Lennart Svensson