| iDLG: Improved Deep Leakage from Gradients B Zhao, KR Mopuri, H Bilen arXiv preprint arXiv:2001.02610, 2020 | 715 | 2020 |
| Dataset Condensation with Gradient Matching B Zhao, KR Mopuri, H Bilen International Conference on Learning Representations (ICLR), 2021 | 525 | 2021 |
| Dataset condensation with distribution matching B Zhao, H Bilen Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 329 | 2023 |
| Dataset Condensation with Differentiable Siamese Augmentation B Zhao, H Bilen International Conference on Machine Learning (ICML), 2021 | 323 | 2021 |
| CAFE: Learning to Condense Dataset by Aligning Features K Wang, B Zhao, X Peng, Z Zhu, S Yang, S Wang, G Huang, H Bilen, ... Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 253 | 2022 |
| Ai challenger: A large-scale dataset for going deeper in image understanding J Wu, H Zheng, B Zhao, Y Li, B Yan, R Liang, W Wang, S Zhou, G Lin, ... 2019 IEEE International Conference on Multimedia and Expo (ICME), 1480-1485, 2019 | 241 | 2019 |
| Deepcore: A comprehensive library for coreset selection in deep learning C Guo, B Zhao, Y Bai Database and Expert Systems Applications: 33rd International Conference …, 2022 | 153 | 2022 |
| Privacy for Free: How does Dataset Condensation Help Privacy? T Dong, B Zhao, L Lyu International Conference on Machine Learning (ICML) 2022, 2022 | 126 | 2022 |
| SVIT: Scaling up Visual Instruction Tuning B Zhao, B Wu, M He, T Huang arXiv preprint arXiv:2307.04087, 2023 | 116 | 2023 |
| Automatic generation of large-scale handwriting fonts via style learning Z Lian, B Zhao, J Xiao SIGGRAPH ASIA 2016, 12, 2016 | 87 | 2016 |
| Efficient Multimodal Learning from Data-centric Perspective M He, Y Liu, B Wu, J Yuan, Y Wang, T Huang, B Zhao arXiv preprint arXiv:2402.11530, 2024 | 80 | 2024 |
| Enhancement of detecting permanent water and temporary water in flood disasters by fusing sentinel-1 and sentinel-2 imagery using deep learning algorithms: Demonstration of … Y Bai, W Wu, Z Yang, J Yu, B Zhao, X Liu, H Yang, E Mas, S Koshimura Remote Sensing 13 (11), 2220, 2021 | 75 | 2021 |
| Synthesizing Informative Training Samples with GAN B Zhao, H Bilen NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 | 71 | 2022 |
| Emu3: Next-Token Prediction is All You Need X Wang, X Zhang, Z Luo, Q Sun, Y Cui, J Wang, F Zhang, Y Wang, Z Li, ... arXiv preprint arXiv:2409.18869, 2024 | 66 | 2024 |
| Accelerating dataset distillation via model augmentation L Zhang, J Zhang, B Lei, S Mukherjee, X Pan, B Zhao, C Ding, Y Li, D Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 61 | 2023 |
| EasyFont: a style learning-based system to easily build your large-scale handwriting fonts Z Lian, B Zhao, X Chen, J Xiao ACM Transactions on Graphics (TOG) 38 (1), 1-18, 2018 | 61 | 2018 |
| MLVU: A Comprehensive Benchmark for Multi-Task Long Video Understanding J Zhou, Y Shu, B Zhao, B Wu, S Xiao, X Yang, Y Xiong, B Zhang, T Huang, ... arXiv preprint arXiv:2406.04264, 2024 | 57 | 2024 |
| A large-scale attribute dataset for zero-shot learning B Zhao, Y Fu, R Liang, J Wu, Y Wang, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 47 | 2019 |
| RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model J Yuan, S Sun, D Omeiza, B Zhao, P Newman, L Kunze, M Gadd Robotics: Science and Systems (RSS), 2024 | 46 | 2024 |
| Continual Representation Learning for Biometric Identification B Zhao, S Tang, D Chen, H Bilen, R Zhao Winter Conference on Applications of Computer Vision (WACV), 2021 | 44 | 2021 |
Hakan BilenSchool of Informatics, University of EdinburghDirección de correo verificada de ed.ac.uk