| TACOTRON: TOWARDS END-TO-END SPEECH SYNTHESIS Y Wang, RJ Skerry-Ryan, D Stanton, Y Wu, RJ Weiss, N Jaitly, Z Yang, ... arXiv preprint arXiv:1703.10135, 2017 | 1902* | 2017 |
| Style tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis Y Wang, D Stanton, Y Zhang, RJS Ryan, E Battenberg, J Shor, Y Xiao, ... International Conference on Machine Learning, 5180-5189, 2018 | 704 | 2018 |
| Towards end-to-end prosody transfer for expressive speech synthesis with tacotron RJ Skerry-Ryan, E Battenberg, Y Xiao, Y Wang, D Stanton, J Shor, ... international conference on machine learning, 4693-4702, 2018 | 531 | 2018 |
| Statistical Algorithms and a Lower Bound for Detecting Planted Cliques V Feldman, E Grigorescu, L Reyzin, SS Vempala, Y Xiao | 252* | |
| An investigation into neural net optimization via hessian eigenvalue density B Ghorbani, S Krishnan, Y Xiao International Conference on Machine Learning, 2232-2241, 2019 | 222 | 2019 |
| Fourier PCA and robust tensor decomposition N Goyal, S Vempala, Y Xiao Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014 | 116* | 2014 |
| Towards unconstrained end-to-end text spotting S Qin, A Bissacco, M Raptis, Y Fujii, Y Xiao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 100 | 2019 |
| Compact random feature maps R Hamid, Y Xiao, A Gittens, D DeCoste International conference on machine learning, 19-27, 2014 | 90 | 2014 |
| Uncovering latent style factors for expressive speech synthesis Y Wang, RJ Skerry-Ryan, Y Xiao, D Stanton, J Shor, E Battenberg, ... arXiv preprint arXiv:1711.00520, 2017 | 76 | 2017 |
| Complexity of learning subspace juntas and ICA S Vempala, Y Xiao 2013 Asilomar Conference on Signals, Systems and Computers, 320-324, 2013 | 32* | 2013 |
| Neumann Optimizer: A Practical Optimizer for Deep Neural Networks S Krishnan, Y Xiao, RA Saurous | 20* | 2018 |
| Twhin: Embedding the twitter heterogeneous information network for personalized recommendation A El-Kishky, T Markovich, S Park, C Verma, B Kim, R Eskander, Y Malkov, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 18 | 2022 |
| Max vs min: Tensor decomposition and ICA with nearly linear sample complexity SS Vempala, Y Xiao Conference on Learning Theory, 1710-1723, 2015 | 14* | 2015 |
| NN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval A El-Kishky, T Markovich, K Leung, F Portman, A Haghighi, Y Xiao Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia …, 2023 | 7 | 2023 |
| Graph-based representation learning for web-scale recommender systems A El-Kishky, M Bronstein, Y Xiao, A Haghighi Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 3 | 2022 |
| The effect of network depth on the optimization landscape B Ghorbani, Y Xiao, S Krishnan ICML 2019 Workshop on Identifying and Understanding Deep Learning Phenomena, 2019 | 3 | 2019 |
| Graph Embeddings for Web-scale Recommender Systems A El-Kishky, M Bronstein, Y Xiao, A Haghighi | | |
Rif A. SaurousGoogleVerified email at google.com
