Semantic Space Models for Profiling Reputation of Corporate Entities. - Jussi Karlgren; Linus Ericsson (CLEF (Working Notes), 2013)

Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights. - Linus Ericsson; Henry Gouk; Timothy M. Hospedales (CoRR, 2020)

How Well Do Self-Supervised Models Transfer? - Linus Ericsson; Henry Gouk; Timothy M. Hospedales (CVPR, 2021)

Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks. - Linus Ericsson; Henry Gouk; Timothy M. Hospedales (CoRR, 2021)

Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks. - Linus Ericsson; Henry Gouk; Timothy M. Hospedales (BMVC, 2022)

Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. - Linus Ericsson; Nanqing Dong; Yongxin Yang; Ales Leonardis; Steven McDonagh 001 (CoRR, 2022)

Self-Supervised Representation Learning: Introduction, advances, and challenges. - Linus Ericsson; Henry Gouk; Chen Change Loy; Timothy M. Hospedales (IEEE Signal Process. Mag., 2022)

Better Practices for Domain Adaptation. - Linus Ericsson; Da Li 001; Timothy M. Hospedales (AutoML, 2023)

Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations. - Cian Eastwood; Julius von Kügelgen; Linus Ericsson; Diane Bouchacourt; Pascal Vincent; Bernhard Schölkopf; Mark Ibrahim (CoRR, 2023)

PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition. - Chenhongyi Yang; Zehui Chen; Miguel Espinosa; Linus Ericsson; Zhenyu Wang; Jiaming Liu; Elliot J. Crowley (BMVC, 2024)

Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. - Raman Dutt; Linus Ericsson; Pedro Sanchez; Sotirios A. Tsaftaris; Timothy M. Hospedales (MIDL, 2024)

einspace: Searching for Neural Architectures from Fundamental Operations. - Linus Ericsson; Miguel Espinosa; Chenhongyi Yang; Antreas Antoniou; Amos J. Storkey; Shay B. Cohen; Steven McDonagh; Elliot J. Crowley (NeurIPS, 2024)

Hyperparameter Selection in Continual Learning. - Thomas L. Lee; Sigrid Passano Hellan; Linus Ericsson; Elliot J. Crowley; Amos J. Storkey (CoRR, 2024)

There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks. - Miguel Espinosa; Chenhongyi Yang; Linus Ericsson; Steven McDonagh; Elliot J. Crowley (CoRR, 2024)

Label-efficient object detection via region proposal network pre-training. - Nanqing Dong; Linus Ericsson; Yongxin Yang; Ales Leonardis; Steven McDonagh 001 (Neurocomputing, 2024)

Transferrable Surrogates in Expressive Neural Architecture Search Spaces. - Shiwen Qin; Gabriela Kadlecová; Martin Pilát; Shay B. Cohen; Roman Neruda; Elliot J. Crowley; Jovita Lukasik; Linus Ericsson (CoRR, 2025)

No time to train! Training-Free Reference-Based Instance Segmentation. - Miguel Espinosa; Chenhongyi Yang; Linus Ericsson; Steven McDonagh; Elliot J. Crowley (CoRR, 2025)