| One-shot learning for semantic segmentation A Shaban, S Bansal, Z Liu, I Essa, B Boots arXiv preprint arXiv:1709.03410, 2017 | 404 | 2017 |
| Sbeed: Convergent reinforcement learning with nonlinear function approximation B Dai, A Shaw, L Li, L Xiao, N He, Z Liu, J Chen, L Song International Conference on Machine Learning, 1125-1134, 2018 | 219 | 2018 |
| Learning towards minimum hyperspherical energy W Liu, R Lin, Z Liu, L Liu, Z Yu, B Dai, L Song Advances in Neural Information Processing Systems, 6222-6233, 2018 | 110 | 2018 |
| Decoupled networks W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 53 | 2018 |
| Towards black-box iterative machine teaching W Liu, B Dai, X Li, Z Liu, J Rehg, L Song International Conference on Machine Learning, 3141-3149, 2018 | 51 | 2018 |
| Exponential family estimation via adversarial dynamics embedding B Dai, Z Liu, H Dai, N He, A Gretton, L Song, D Schuurmans Advances in Neural Information Processing Systems, 10979-10990, 2019 | 35 | 2019 |
| Multi Robot Object-based SLAM S Choudhary, L Carlone, N Carlos, R John, Z Liu, HI Christensen, ... International Symposium on Experimental Robotics, 2016 | 34 | 2016 |
| Coupled variational bayes via optimization embedding B Dai, H Dai, N He, W Liu, Z Liu, J Chen, L Xiao, L Song Advances in Neural Information Processing Systems 31, 2018 | 28 | 2018 |
| Motion planning with graph-based trajectories and Gaussian process inference E Huang, M Mukadam, Z Liu, B Boots 2017 IEEE International Conference on Robotics and Automation (ICRA), 5591-5598, 2017 | 23 | 2017 |
| Neural similarity learning W Liu, Z Liu, JM Rehg, L Song Advances in Neural Information Processing Systems, 5025-5036, 2019 | 19 | 2019 |
| Orthogonal over-parameterized training W Liu, R Lin, Z Liu, JM Rehg, L Paull, L Xiong, L Song, A Weller Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 18 | 2021 |
| Regularizing Neural Networks via Minimizing Hyperspherical Energy R Lin, W Liu, Z Liu, C Feng, Z Yu, JM Rehg, L Xiong, L Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 18 | 2020 |
| Deep Forward and Inverse Perceptual Models for Tracking and Prediction A Lambert, A Shaban, A Raj, Z Liu, B Boots 2018 IEEE International Conference on Robotics and Automation (ICRA), 675-682, 2018 | 18 | 2018 |
| Learning with hyperspherical uniformity W Liu, R Lin, Z Liu, L Xiong, B Schölkopf, A Weller International Conference On Artificial Intelligence and Statistics, 1180-1188, 2021 | 17 | 2021 |
| A consciousness-inspired planning agent for model-based reinforcement learning M Zhao, Z Liu, S Luan, S Zhang, D Precup, Y Bengio Advances in Neural Information Processing Systems 34, 2021 | 16 | 2021 |
| Compressive hyperspherical energy minimization R Lin, W Liu, Z Liu, C Feng, Z Yu, JM Rehg, L Xiong, L Song | 4 | 2019 |
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
