| Variational information distillation for knowledge transfer S Ahn, SX Hu, A Damianou, ND Lawrence, Z Dai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 816 | 2019 |
| Pushing the limits of simple pipelines for few-shot learning: External data and fine-tuning make a difference SX Hu, D Li, J Stühmer, M Kim, TM Hospedales Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 216 | 2022 |
| Self-supervised transformers for unsupervised object discovery using normalized cut Y Wang, X Shen, SX Hu, Y Yuan, JL Crowley, D Vaufreydaz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 187 | 2022 |
| Empirical Bayes Transductive Meta-Learning with Synthetic Gradients SX Hu, PM Garcia, Y Xiao, X Shen, G Obozinski, ND Lawrence, ... International Conference on Learning Representation (ICLR), 2020 | 181 | 2020 |
| Tokencut: Segmenting objects in images and videos with self-supervised transformer and normalized cut Y Wang, X Shen, Y Yuan, Y Du, M Li, SX Hu, JL Crowley, D Vaufreydaz Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023 | 85 | 2023 |
| Fisher sam: Information geometry and sharpness aware minimisation M Kim, D Li, SX Hu, T Hospedales International Conference on Machine Learning, 11148-11161, 2022 | 76 | 2022 |
| Toward real-time pedestrian detection based on a deformable template model M Pedersoli, J Gonzàlez, X Hu, X Roca IEEE Transactions on Intelligent Transportation Systems 15 (1), 355-364, 2013 | 70 | 2013 |
| Boosting co-teaching with compression regularization for label noise Y Chen, X Shen, SX Hu, JAK Suykens Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 61 | 2021 |
| Re-ranking for image retrieval and transductive few-shot classification X Shen, Y Xiao, SX Hu, O Sbai, M Aubry Advances in Neural Information Processing Systems 34, 25932-25943, 2021 | 43 | 2021 |
| Exploring Weight Symmetry in Deep Neural Network XS Hu, S Zagoruyko, N Komodakis arXiv preprint arXiv:1812.11027, 2018 | 37 | 2018 |
| Learning where and when to reason in neuro-symbolic inference C Cornelio, J Stuehmer, SX Hu, T Hospedales International Conference on Learning Representations, 2023 | 27 | 2023 |
| Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning S Basu, S Hu, D Massiceti, S Feizi Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11024 …, 2024 | 24 | 2024 |
| Compressing features for learning with noisy labels Y Chen, SX Hu, X Shen, C Ai, JAK Suykens IEEE Transactions on Neural Networks and Learning Systems 35 (2), 2124-2138, 2022 | 20 | 2022 |
| An Event Based GUI Programming Toolkit for Embedded System X Hu, C Jiang, W Zhang, J Zhang, R Yu, C Lv 2010 IEEE Asia-Pacific Services Computing Conference, 625-631, 2010 | 19 | 2010 |
| Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification A El Baz, I Ullah, E Alcobaça, AC Carvalho, H Chen, F Ferreira, H Gouk, ... NeurIPS 2021 Competitions and Demonstrations Track, 80-96, 2022 | 15 | 2022 |
| Learning to detect basal tubules of nematocysts in sem images M Lam, J Doppa, X Hu, S Todorovic, T Dietterich, A Reft, M Daly Proceedings of the IEEE International Conference on Computer Vision …, 2013 | 15 | 2013 |
| Editval: Benchmarking diffusion based text-guided image editing methods S Basu, M Saberi, S Bhardwaj, AM Chegini, D Massiceti, M Sanjabi, ... arXiv preprint arXiv:2310.02426, 2023 | 12 | 2023 |
| Federated learning for inference at anytime and anywhere Z Liu, D Li, J Fernandez-Marques, S Laskaridis, Y Gao, Ł Dudziak, SZ Li, ... arXiv preprint arXiv:2212.04084, 2022 | 8 | 2022 |
| Feed-forward source-free latent domain adaptation via cross-attention O Bohdal, D Li, SX Hu, T Hospedales First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at …, 2022 | 8 | 2022 |
| Augmenting clip with improved visio-linguistic reasoning S Basu, M Sanjabi, D Massiceti, SX Hu, S Feizi arXiv preprint arXiv:2307.09233, 2023 | 5 | 2023 |
Timothy M. HospedalesProfessor, University of Edinburgh; Samsung AI Research在 ed.ac.uk 的电子邮件经过验证