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
2460 * 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
970 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
687 2018 An investigation into neural net optimization via hessian eigenvalue density B Ghorbani, S Krishnan, Y Xiao
International Conference on Machine Learning, 2232-2241, 2019
328 2019 Statistical Algorithms and a Lower Bound for Detecting Planted Cliques V Feldman, E Grigorescu, L Reyzin, SS Vempala, Y Xiao
292 * 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
146 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
133 * 2014 Compact random feature maps R Hamid, Y Xiao, A Gittens, D DeCoste
International conference on machine learning, 19-27, 2014
91 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
88 2017 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
55 2022 Complexity of learning subspace juntas and ICA S Vempala, Y Xiao
2013 Asilomar Conference on Signals, Systems and Computers, 320-324, 2013
38 * 2013 Neumann Optimizer: A Practical Optimizer for Deep Neural Networks S Krishnan, Y Xiao, RA Saurous
21 * 2018 Max vs min: Tensor decomposition and ICA with nearly linear sample complexity SS Vempala, Y Xiao
Conference on Learning Theory, 1710-1723, 2015
16 * 2015 A El-Kishky, T Markovich, K Leung, F Portman, A Haghighi, Y Xiao
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 374-386, 2023
12 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
7 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 End-to-end text-to-speech conversion S Bengio, Y Wang, Z Yang, Z Chen, Y Wu, I Agiomyrgiannakis, RJ Weiss, ...
US Patent App. 18/516,069, 2024
2024 End-to-end text-to-speech conversion S Bengio, Y Wang, Z Yang, Z Chen, Y Wu, I Agiomyrgiannakis, RJ Weiss, ...
US Patent 11,862,142, 2024
2024 New tools for unsupervised learning. Y Xiao
Georgia Institute of Technology, Atlanta, GA, USA, 2015
2015 Graph Embeddings for Web-scale Recommender Systems A El-Kishky, M Bronstein, Y Xiao, A Haghighi
Rif A. SaurousGoogleZweryfikowany adres z google.com
