| Neural variational inference for text processing Y Miao, L Yu, P Blunsom ICML 2016, 2016 | 383 | 2016 |
| Language as a latent variable: Discrete generative models for sentence compression Y Miao, P Blunsom EMNLP 2016, 2016 | 165 | 2016 |
| Latent intention dialogue models TH Wen, Y Miao, P Blunsom, S Young ICML 2017, 2017 | 117 | 2017 |
| Discovering discrete latent topics with neural variational inference Y Miao, E Grefenstette, P Blunsom ICML 2017, 2017 | 112 | 2017 |
| Tag-aware personalized recommendation using a deep-semantic similarity model with negative sampling Z Xu, C Chen, T Lukasiewicz, Y Miao, X Meng CIKM 2016, 2016 | 50 | 2016 |
| Memory Architectures in Recurrent Neural Network Language Models D Yogatama, Y Miao, G Melis, W Ling, A Kuncoro, C Dyer, P Blunsom ICLR 2018, 2018 | 41 | 2018 |
| Selective Sensor Fusion for Neural Visual-Inertial Odometry C Chen, S Rosa, Y Miao, C Xiaoxuan Lu, W Wu, A Markham, N Trigoni CVPR 2019, 2019 | 32 | 2019 |
| Tag-aware personalized recommendation using a hybrid deep model Z Xu, T Lukasiewicz, C Chen, Y Miao, X Meng IJCAI 2017, 2017 | 24 | 2017 |
| Phil Blunsom, Neural variational inference for text processing Y Miao, L Yu Proceedings of the 33rd International Conference on International Conference …, 2016 | 21 | 2016 |
| MotionTransformer: Transferring Neural Inertial Tracking Between Domains C Chen, Y Miao, CX Lu, L Xie, P Blunsom, A Markham, N Trigoni, ... AAAI 2019, 2018 | 10 | 2018 |
| TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts Z Hong, Y Petillot, D Lane, Y Miao, S Wang ICCV 2019, 2861-2870, 2019 | 8 | 2019 |
| Hybrid deep-semantic matrix factorization for tag-aware personalized recommendation Z Xu, D Yuan, T Lukasiewicz, C Chen, Y Miao, G Xu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 4 | 2020 |
| Deep generative models for natural language processing Y Miao University of Oxford, 2017 | 3 | 2017 |
| Discrete generative models for sentence compression Y Miao, P Blunsom Empirical Methods on Natural Language Processing (EMNLP), 2016 | 3 | 2016 |
| Bayesian Optimisation for Machine Translation Y Miao, Z Wang, P Blunsom NIPS 2014 BayesOpt Workshop, 2014 | 3 | 2014 |
| Transferring physical motion between domains for neural inertial tracking C Chen, Y Miao, CX Lu, P Blunsom, A Markham, N Trigoni arXiv preprint arXiv:1810.02076, 2018 | 2 | 2018 |
| Learning Multilingual Topics with Neural Variational Inference X Wu, C Li, Y Zhu, Y Miao CCF International Conference on Natural Language Processing and Chinese …, 2020 | 1 | 2020 |
| Selective sensor fusion for neural visual-inertial odometry A Markham, Y Miao, CX Lu, C Chen, S Rosa, N Trigoni, W Wu Proceedings of the IEEE Computer Society Conference on Computer Vision and …, 2019 | 1 | 2019 |
| Learning with Stochastic Guidance for Navigation L Xie, Y Miao, S Wang, P Blunsom, Z Wang, C Chen, A Markham, ... arXiv preprint arXiv:1811.10756, 2018 | 1 | 2018 |
| Neural allocentric intuitive physics prediction from real videos Z Wang, S Rosa, Y Miao, Z Lai, L Xie, A Markham, N Trigoni arXiv preprint arXiv:1809.03330, 2018 | 1 | 2018 |
Phil BlunsomDeepMind and Oxford University在 cs.ox.ac.uk 的电子邮件经过验证
