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Fisher SAM: Information Geometry and Sharpness Aware Minimisation



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



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

* Accepted by CVPR2022 

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Meta Mirror Descent: Optimiser Learning for Fast Convergence



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



Linus Ericsson , Henry Gouk , Timothy M. Hospedales

* Code available at https://github.com/linusericsson/ssl-invariances 

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Self-Supervised Representation Learning: Introduction, Advances and Challenges



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


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Towards Unsupervised Sketch-based Image Retrieval



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

* 10 pages, 6 figures 

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



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

* IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021 Code : https://github.com/AyanKumarBhunia/Self-Supervised-Learning-for-Sketch 

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Searching for Robustness: Loss Learning for Noisy Classification Tasks



Boyan Gao , Henry Gouk , Timothy M. Hospedales


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FedH2L: Federated Learning with Model and Statistical Heterogeneity



Yiying Li , Wei Zhou , Huaimin Wang , Haibo Mi , Timothy M. Hospedales


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Tensor Composition Net for Visual Relationship Prediction



Yuting Qiang , Yongxin Yang , Yanwen Guo , Timothy M. Hospedales


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