Linus Ericsson

26 papers A* 2A 2Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evolutionary Architecture Search through Grammar-Based Sequence Alignment. CoRR Adri Gomez Martin, Felix Möller, Steven McDonagh, Mónica Abella, Manuel Desco, Elliot J. Crowley, Aaron Klein, Linus Ericsson
2025	J	`jnl`	No time to train! Training-Free Reference-Based Instance Segmentation. CoRR Miguel Espinosa, Chenhongyi Yang, Linus Ericsson, Steven McDonagh, Elliot J. Crowley
2025	J	`jnl`	ONNX-Net: Towards Universal Representations and Instant Performance Prediction for Neural Architectures. CoRR Shiwen Qin, Alexander Auras, Shay B. Cohen, Elliot J. Crowley, Michael Möller, Linus Ericsson, Jovita Lukasik
2025	—	`conf`	Transferrable Surrogates in Expressive Neural Architecture Search Spaces. AutoML Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B. Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson
2025	J	`jnl`	Transferrable Surrogates in Expressive Neural Architecture Search Spaces. CoRR Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B. Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson
2024	J	`jnl`	Hyperparameter Selection in Continual Learning. CoRR Thomas L. Lee, Sigrid Passano Hellan, Linus Ericsson, Elliot J. Crowley, Amos Storkey
2024	J	`jnl`	Label-efficient object detection via region proposal network pre-training. Neurocomputing Nanqing Dong, Linus Ericsson, Yongxin Yang, Ales Leonardis, Steven McDonagh
2024	—	`conf`	Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. MIDL Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
2024	A	`conf`	PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition. BMVC Chenhongyi Yang, Zehui Chen, Miguel Espinosa, Linus Ericsson, Zhenyu Wang, Jiaming Liu, Elliot J. Crowley
2024	J	`jnl`	PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition. CoRR Chenhongyi Yang, Zehui Chen, Miguel Espinosa, Linus Ericsson, Zhenyu Wang, Jiaming Liu, Elliot J. Crowley
2024	J	`jnl`	There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks. CoRR Miguel Espinosa, Chenhongyi Yang, Linus Ericsson, Steven McDonagh, Elliot J. Crowley
2024	A*	`conf`	einspace: Searching for Neural Architectures from Fundamental Operations. NeurIPS Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley
2024	J	`jnl`	einspace: Searching for Neural Architectures from Fundamental Operations. CoRR Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley
2023	—	`conf`	Better Practices for Domain Adaptation. AutoML Linus Ericsson, Da Li, Timothy M. Hospedales
2023	J	`jnl`	Better Practices for Domain Adaptation. CoRR Linus Ericsson, Da Li, Timothy M. Hospedales
2023	J	`jnl`	Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. CoRR Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
2023	J	`jnl`	Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations. CoRR Cian Eastwood, Julius von Kügelgen, Linus Ericsson, Diane Bouchacourt, Pascal Vincent, Bernhard Schölkopf, Mark Ibrahim
2022	J	`jnl`	Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. CoRR Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh
2022	J	`jnl`	Self-Supervised Representation Learning: Introduction, advances, and challenges. IEEE Signal Process. Mag. Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales
2022	A	`conf`	Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks. BMVC Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2021	A*	`conf`	How Well Do Self-Supervised Models Transfer? CVPR Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2021	J	`jnl`	Self-Supervised Representation Learning: Introduction, Advances and Challenges. CoRR Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales
2021	J	`jnl`	Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks. CoRR Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2020	J	`jnl`	Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights. CoRR Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2020	J	`jnl`	How Well Do Self-Supervised Models Transfer? CoRR Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2013	—	`conf`	Semantic Space Models for Profiling Reputation of Corporate Entities. CLEF (Working Notes) Jussi Karlgren, Linus Ericsson