| FMix: Enhancing Mixed Sample Data Augmentation E Harris, A Marcu, M Painter, M Niranjan, A Prügel-Bennett, J Hare arXiv preprint arXiv:2002.12047, 2020 | 178* | 2020 |
| Pytorch lightning, 2019 W Falcon, J Borovec, E Harris, M Painter, J Schock, N Eggert, J Ling, ... URL https://github. com/PyTorchLightning/pytorch-lightning, 0 | 65* | |
| Spatial and Colour Opponency in Anatomically Constrained Deep Networks E Harris, D Mihai, J Hare NeurIPS 2019 Workshop on Shared Visual Representations in Human & Machine …, 2019 | 8 | 2019 |
| Torchbearer: A Model Fitting Library for PyTorch E Harris, M Painter, J Hare arXiv preprint arXiv:1809.03363, 2018 | 7 | 2018 |
| Foveated convolutions: improving spatial transformer networks by modelling the retina E Harris, M Niranjan, J Hare NeurIPS 2019 Workshop on Shared Visual Representations in Human & Machine …, 2019 | 5 | 2019 |
| Martin. B, J W Falcon, J Borovec, A Wälchli, N Eggert, J Schock, J Jordan, N Skafte, ... B. SCHIRATTI, H. Mary, D. Byrne, C. Eyzaguirre, cinjon, and A. Bakhtin (May …, 0 | 5 | |
| How Convolutional Neural Network Architecture Biases Learned Opponency and Colour Tuning E Harris, D Mihai, J Hare Neural Computation, 2021 | 4 | 2021 |
| A Biologically Inspired Visual Working Memory for Deep Networks E Harris, M Niranjan, J Hare arXiv preprint arXiv:1901.03665, 2019 | 4 | 2019 |
| Anatomically Constrained ResNets Exhibit Opponent Receptive Fields; So What? E Harris, D Mihai, J Hare NeurIPS 2020 Workshop on Shared Visual Representations in Human & Machine …, 2020 | 2 | 2020 |
| Human processes in artificial vision EWA Harris University of Southampton Library, 2022 | | 2022 |
Jonathon HareProfessor of Machine Learning and Computer Vision, University of Southampton, United Kingdom在 ecs.soton.ac.uk 的电子邮件经过验证
