Linus Ericsson

Orcid: 0000-0002-0634-5072

According to our database1, Linus Ericsson authored at least 14 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Label-efficient object detection via region proposal network pre-training.
Neurocomputing, 2024

einspace: Searching for Neural Architectures from Fundamental Operations.
CoRR, 2024

Hyperparameter Selection in Continual Learning.
CoRR, 2024

PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition.
CoRR, 2024

2023
Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations.
CoRR, 2023

Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity.
CoRR, 2023

Better Practices for Domain Adaptation.
Proceedings of the International Conference on Automated Machine Learning, 2023

2022
Self-Supervised Representation Learning: Introduction, advances, and challenges.
IEEE Signal Process. Mag., 2022

Region Proposal Network Pre-Training Helps Label-Efficient Object Detection.
CoRR, 2022

Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks.
CoRR, 2021

How Well Do Self-Supervised Models Transfer?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights.
CoRR, 2020

2013
Semantic Space Models for Profiling Reputation of Corporate Entities.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013


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