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Timothy M. Hospedales

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Better Practices for Domain Adaptation

Sep 07, 2023
Linus Ericsson, Da Li, Timothy M. Hospedales

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Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics

Mar 25, 2023
Leonardo Iurada, Silvia Bucci, Timothy M. Hospedales, Tatiana Tommasi

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Accelerating Self-Supervised Learning via Efficient Training Strategies

Dec 11, 2022
Mustafa Taha Koçyiğit, Timothy M. Hospedales, Hakan Bilen

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Fisher SAM: Information Geometry and Sharpness Aware Minimisation

Jun 10, 2022
Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales

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Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference

Apr 15, 2022
Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales

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Meta Mirror Descent: Optimiser Learning for Fast Convergence

Mar 05, 2022
Boyan Gao, Henry Gouk, Hae Beom Lee, Timothy M. Hospedales

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

Nov 22, 2021
Linus Ericsson, Henry Gouk, Timothy M. Hospedales

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Self-Supervised Representation Learning: Introduction, Advances and Challenges

Oct 18, 2021
Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales

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Towards Unsupervised Sketch-based Image Retrieval

May 18, 2021
Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song

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Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting

Mar 25, 2021
Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song

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