| metric-learn: Metric learning algorithms in python W De Vazelhes, CJ Carey, Y Tang, N Vauquier, A Bellet Journal of Machine Learning Research 21 (138), 1-6, 2020 | 68 | 2020 |
| Direct Training of SNN using Local Zeroth Order Method B Mukhoty, V Bojkovic, W de Vazelhes, X Zhao, G De Masi, H Xiong, B Gu Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity W de Vazelhes, H Zhang, H Wu, X Yuan, B Gu Advances in Neural Information Processing Systems 35, 22589-22601, 2022 | 3 | 2022 |
| Efficient Semi-Supervised Adversarial Training without Guessing Labels H Wu, W Vazelhes, B Gu 2022 IEEE International Conference on Data Mining (ICDM), 538-547, 2022 | 1 | 2022 |
| Iterative Regularization with k-Support Norm: an Important Complement to Sparse Recovery W de Vazelhes, B Mukhoty, XT Yuan, B Gu Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11731 …, 2024 | | 2024 |
| Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging H AlQuabeh, W de Vazelhes, B Gu arXiv preprint arXiv:2402.01146, 2024 | | 2024 |
| Query Efficient Black-Box Adversarial Attack with Automatic Region Selection Y YAO, W Shi, Z Wu, H Zhang, W de Vazelhes, Y Fan, H Xiong, Y Chang, ... | | 2023 |
| Optimization over Sparse Restricted Convex Sets via Two Steps Projection W de Vazelhes, X Yuan, B Gu | | 2023 |
| New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions X Yuan, W de Vazelhes, B Gu, H Xiong The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
Bin GuMBZUAI在 mbzuai.ac.ae 的电子邮件经过验证
