Linus Ericsson

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 16

Top Topics

Manifold Alignment

Medical Image Analysis

Visual Recognition

Top Venues

IEEE Signal Process. Mag.

Publications

Thomas L. Lee, Sigrid Passano Hellan, Linus Ericsson, Elliot J. Crowley, Amos J. Storkey
Hyperparameter Selection in Continual Learning. CoRR (2024)
Chenhongyi Yang, Zehui Chen, Miguel Espinosa, Linus Ericsson, Zhenyu Wang, Jiaming Liu, Elliot J. Crowley
PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition. CoRR (2024)
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 (2024)
Nanqing Dong, Linus Ericsson, Yongxin Yang, Ales Leonardis, Steven McDonagh
Label-efficient object detection via region proposal network pre-training. Neurocomputing 577 (2024)
Linus Ericsson, Da Li, Timothy M. Hospedales
Better Practices for Domain Adaptation. CoRR (2023)
Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. CoRR (2023)
Linus Ericsson, Da Li, Timothy M. Hospedales
Better Practices for Domain Adaptation. AutoML (2023)
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 (2023)
Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales
Self-Supervised Representation Learning: Introduction, advances, and challenges. IEEE Signal Process. Mag. 39 (3) (2022)
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks. BMVC (2022)
Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh
Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. CoRR (2022)
Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales
Self-Supervised Representation Learning: Introduction, Advances and Challenges. CoRR (2021)
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
How Well Do Self-Supervised Models Transfer? CVPR (2021)
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks. CoRR (2021)
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
How Well Do Self-Supervised Models Transfer? CoRR (2020)
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights. CoRR (2020)
Jussi Karlgren, Linus Ericsson
Semantic Space Models for Profiling Reputation of Corporate Entities. CLEF (Working Notes) (2013)