| A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs D George, W Lehrach, K Kansky, M Lázaro-Gredilla, C Laan, B Marthi, ... Science 358 (6368), eaag2612, 2017 | 307 | 2017 |
| Discriminative learning with latent variables for cluttered indoor scene understanding H Wang, S Gould, D Roller Communications of the ACM 56 (4), 92-99, 2013 | 197 | 2013 |
| Adaptive p-posterior mixture-model kernels for multiple instance learning HY Wang, Q Yang, H Zha Proceedings of the 25th international conference on Machine learning, 1136-1143, 2008 | 75 | 2008 |
| Teaching compositionality to cnns A Stone, H Wang, M Stark, Y Liu, D Scott Phoenix, D George Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 73 | 2017 |
| Indoor localization in multi-floor environments with reduced effort HY Wang, VW Zheng, J Zhao, Q Yang 2010 IEEE International Conference on Pervasive Computing and Communications …, 2010 | 73 | 2010 |
| Multi-level inference by relaxed dual decomposition for human pose segmentation H Wang, D Koller CVPR 2011, 2433-2440, 2011 | 58 | 2011 |
| Transfer learning by structural analogy H Wang, Q Yang Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 513-518, 2011 | 53 | 2011 |
| Learning robust similarity measures for 3D partial shape retrieval Y Liu, XL Wang, HY Wang, H Zha, H Qin International Journal of Computer Vision 89, 408-431, 2010 | 32 | 2010 |
| Subproblem-tree calibration: A unified approach to max-product message passing H Wang, K Daphne International Conference on Machine Learning, 190-198, 2013 | 28 | 2013 |
| Dirichlet component analysis: feature extraction for compositional data HY Wang, Q Yang, H Qin, H Zha Proceedings of the 25th international conference on Machine learning, 1128-1135, 2008 | 19 | 2008 |
| Dirichlet aggregation: unsupervised learning towards an optimal metric for proportional data HY Wang, H Zha, H Qin Proceedings of the 24th international conference on Machine learning, 959-966, 2007 | 11 | 2007 |
| A fast and exact energy minimization algorithm for cycle mrfs H Wang, K Daphne International Conference on Machine Learning, 190-198, 2013 | 6 | 2013 |
| System and method for teaching compositionality to convolutional neural networks AC Stone, H Wang, DS Phoenix, D George US Patent 11,216,727, 2022 | 1 | 2022 |
| System and method for teaching compositionality to convolutional neural networks AC Stone, H Wang, DS Phoenix, D George US Patent App. 17/537,749, 2022 | | 2022 |
| System and method for teaching compositionality to convolutional neural networks AC Stone, H Wang, DS Phoenix, D George US Patent 10,185,914, 2019 | | 2019 |
| A backward pass through a CNN using a generative model of its activations H Wang, A Chen, Y Liu, D George, DS Phoenix arXiv preprint arXiv:1611.02767, 2016 | | 2016 |
| Modeling Instance Appearance for Recognition–Can We Do Better Than EM? A Chou, H Wang, M Stark, D Koller International Workshop on Structured Prediction: Tractability, Learning, and …, 2013 | | 2013 |
