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Linus Ericsson
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2020 – today
- 2024
- [j2]Nanqing Dong
, Linus Ericsson
Label-efficient object detection via region proposal network pre-training. Neurocomputing 577: 127376 (2024) - [c6]Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales:
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. MIDL 2024: 406-425 - [c5]Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos J. Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley:
einspace: Searching for Neural Architectures from Fundamental Operations. NeurIPS 2024 - [i12]Chenhongyi Yang, Zehui Chen, Miguel Espinosa, Linus Ericsson, Zhenyu Wang, Jiaming Liu, Elliot J. Crowley:
PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition. CoRR abs/2403.17695 (2024) - [i11]Thomas L. Lee, Sigrid Passano Hellan, Linus Ericsson, Elliot J. Crowley, Amos J. Storkey:
Hyperparameter Selection in Continual Learning. CoRR abs/2404.06466 (2024) - [i10]Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos J. Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley:
einspace: Searching for Neural Architectures from Fundamental Operations. CoRR abs/2405.20838 (2024) - [i9]Miguel Espinosa, Chenhongyi Yang, Linus Ericsson, Steven McDonagh, Elliot J. Crowley:
There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks. CoRR abs/2411.15288 (2024) - 2023
- [c4]Linus Ericsson, Da Li, Timothy M. Hospedales:
Better Practices for Domain Adaptation. AutoML 2023: 4/1-25 - [i8]Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales:
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. CoRR abs/2305.08252 (2023) - [i7]Linus Ericsson, Da Li, Timothy M. Hospedales:
Better Practices for Domain Adaptation. CoRR abs/2309.03879 (2023) - [i6]Cian Eastwood, Julius von Kügelgen, Linus Ericsson, Diane Bouchacourt, Pascal Vincent, Bernhard Schölkopf, Mark Ibrahim:
Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations. CoRR abs/2311.08815 (2023) - 2022
- [j1]Linus Ericsson
Self-Supervised Representation Learning: Introduction, advances, and challenges. IEEE Signal Process. Mag. 39(3): 42-62 (2022) - [c3]Linus Ericsson, Henry Gouk, Timothy M. Hospedales:
Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks. BMVC 2022: 509 - [i5]Linus Ericsson
Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. CoRR abs/2211.09022 (2022) - 2021
- [c2]Linus Ericsson, Henry Gouk, Timothy M. Hospedales:
How Well Do Self-Supervised Models Transfer? CVPR 2021: 5414-5423 - [i4]Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales:
Self-Supervised Representation Learning: Introduction, Advances and Challenges. CoRR abs/2110.09327 (2021) - [i3]Linus Ericsson, Henry Gouk, Timothy M. Hospedales:
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks. CoRR abs/2111.11398 (2021) - 2020
- [i2]Linus Ericsson, Henry Gouk, Timothy M. Hospedales:
Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights. CoRR abs/2006.12360 (2020) - [i1]Linus Ericsson, Henry Gouk, Timothy M. Hospedales:
How Well Do Self-Supervised Models Transfer? CoRR abs/2011.13377 (2020)
2010 – 2019
- 2013
- [c1]Jussi Karlgren, Linus Ericsson:
Semantic Space Models for Profiling Reputation of Corporate Entities. CLEF (Working Notes) 2013
Coauthor Index
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