| Learning with a strong adversary R Huang, B Xu, D Schuurmans, C Szepesvári arXiv preprint arXiv:1511.03034, 2015 | 461 | 2015 |
| Mma training: Direct input space margin maximization through adversarial training GW Ding, Y Sharma, KYC Lui, R Huang arXiv preprint arXiv:1812.02637, 2018 | 347 | 2018 |
| Revise saturated activation functions B Xu, R Huang, M Li arXiv preprint arXiv:1602.05980, 2016 | 100 | 2016 |
| On the Sensitivity of Adversarial Robustness to Input Data Distributions. GW Ding, KYC Lui, X Jin, L Wang, R Huang ICLR (Poster) 4, 2019 | 66 | 2019 |
| Following the leader and fast rates in linear prediction: Curved constraint sets and other regularities R Huang, T Lattimore, A György, C Szepesvári Advances in Neural Information Processing Systems 29, 2016 | 57* | 2016 |
| Maximum entropy monte-carlo planning C Xiao, R Huang, J Mei, D Schuurmans, M Müller Advances in Neural Information Processing Systems 32, 2019 | 45 | 2019 |
| Convex sparse coding, subspace learning, and semi-supervised extensions X Zhang, Y Yu, M White, R Huang, D Schuurmans Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 567-573, 2011 | 39 | 2011 |
| Cdt: Cascading decision trees for explainable reinforcement learning Z Ding, P Hernandez-Leal, GW Ding, C Li, R Huang arXiv preprint arXiv:2011.07553, 2020 | 37 | 2020 |
| Structured best arm identification with fixed confidence R Huang, MM Ajallooeian, C Szepesvári, M Müller International Conference on Algorithmic Learning Theory, 593-616, 2017 | 33 | 2017 |
| On principled entropy exploration in policy optimization J Mei, C Xiao, R Huang, D Schuurmans, M Müller Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 32 | 2019 |
| Following the leader and fast rates in linear prediction: curved constraint sets and other regularities R Huang, T Lattimore, A György, C Szepesvári arXiv preprint arXiv:1702.03040, 2017 | 32 | 2017 |
| Adversarial robustness of pruned neural networks L Wang, GW Ding, R Huang, Y Cao, YC Lui | 30 | 2018 |
| Robust pruned neural networks via adversarial training L Wang, W Ding, R Huang, CAO Yanshuai, YC Lui US Patent 11,562,244, 2023 | 26 | 2023 |
| Few-shot self reminder to overcome catastrophic forgetting J Wen, Y Cao, R Huang arXiv preprint arXiv:1812.00543, 2018 | 24 | 2018 |
| Anchored speech detection R Maas, SHK Parthasarathi, B King, R Huang, B Hoffmeister | 19 | 2016 |
| Improving GAN training via binarized representation entropy (BRE) regularization Y Cao, GW Ding, KYC Lui, R Huang arXiv preprint arXiv:1805.03644, 2018 | 17 | 2018 |
| On minimax optimality of GANs for robust mean estimation K Wu, GW Ding, R Huang, Y Yu International Conference on Artificial Intelligence and Statistics, 4541-4551, 2020 | 14 | 2020 |
| System and method for improved neural network training CAO Yanshuai, YC Lui, W Ding, R Huang US Patent App. 16/172,451, 2019 | 14* | 2019 |
| Learning with a strong adversary (2015) R Huang, B Xu, D Schuurmans, C Szepesvári arXiv preprint arXiv:1511.03034, 0 | 12 | |
| System and method for max-margin adversarial training W Ding, Y Sharma, YC Lui, R Huang US Patent 11,568,261, 2023 | 11 | 2023 |
Gavin Weiguang DingEcopia AI確認したメール アドレス: uoguelph.ca
