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2020 – today
- 2021
[i17]Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro:
End-to-End Training of Neural Retrievers for Open-Domain Question Answering. CoRR abs/2101.00408 (2021)- 2020
- [c17]Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao:
Non-Autoregressive Neural Text-to-Speech. ICML 2020: 7586-7598 - [c16]Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song:
WaveFlow: A Compact Flow-based Model for Raw Audio. ICML 2020: 7706-7716 - [i16]Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro:
DiffWave: A Versatile Diffusion Model for Audio Synthesis. CoRR abs/2009.09761 (2020) - [i15]Sashank Santhanam, Wei Ping, Raul Puri, Mohammad Shoeybi, Mostofa Patwary, Bryan Catanzaro:
Local Knowledge Powered Conversational Agents. CoRR abs/2010.10150 (2020)
2010 – 2019
- 2019
- [c15]Wei Ping, Kainan Peng, Jitong Chen:
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. ICLR (Poster) 2019 - [i14]Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao:
Parallel Neural Text-to-Speech. CoRR abs/1905.08459 (2019) - [i13]Jihyun Park, Kexin Zhao, Kainan Peng, Wei Ping:
Multi-Speaker End-to-End Speech Synthesis. CoRR abs/1907.04462 (2019) - [i12]Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song:
WaveFlow: A Compact Flow-based Model for Raw Audio. CoRR abs/1912.01219 (2019) - 2018
- [c14]Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin:
Topic Compositional Neural Language Model. AISTATS 2018: 356-365 - [c13]Jiaji Huang, Yi Li, Wei Ping, Liang Huang:
Large Margin Neural Language Model. EMNLP 2018: 1183-1191 - [c12]Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller:
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. ICLR (Poster) 2018 - [c11]Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou:
Neural Voice Cloning with a Few Samples. NeurIPS 2018: 10040-10050 - [i11]Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou:
Neural Voice Cloning with a Few Samples. CoRR abs/1802.06006 (2018) - [i10]Yi Li, Wei Ping:
Cancer Metastasis Detection With Neural Conditional Random Field. CoRR abs/1806.07064 (2018) - [i9]Wei Ping, Kainan Peng, Jitong Chen:
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. CoRR abs/1807.07281 (2018) - [i8]Jiaji Huang, Yi Li, Wei Ping, Liang Huang:
Large Margin Neural Language Model. CoRR abs/1808.08987 (2018) - 2017
- [c10]Wei Ping, Alexander T. Ihler:
Belief Propagation in Conditional RBMs for Structured Prediction. AISTATS 2017: 1141-1149 - [c9]Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou:
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. NIPS 2017: 2962-2970 - [i7]Wei Ping, Alexander T. Ihler:
Belief Propagation in Conditional RBMs for Structured Prediction. CoRR abs/1703.00986 (2017) - [i6]Sercan Ömer Arik, Gregory F. Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou:
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. CoRR abs/1705.08947 (2017) - [i5]Wei Ping, Qiang Liu, Alexander T. Ihler:
Learning Infinite RBMs with Frank-Wolfe. CoRR abs/1710.05270 (2017) - [i4]Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller:
Deep Voice 3: 2000-Speaker Neural Text-to-Speech. CoRR abs/1710.07654 (2017) - [i3]Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin:
Topic Compositional Neural Language Model. CoRR abs/1712.09783 (2017) - 2016
- [b1]Wei Ping:
Learning and Inference in Latent Variable Graphical Models. University of California, Irvine, USA, 2016 - [c8]Wei Ping, Qiang Liu, Alexander T. Ihler:
Learning Infinite RBMs with Frank-Wolfe. NIPS 2016: 3063-3071 - 2015
- [c7]Wei Ping, Qiang Liu, Alexander T. Ihler:
Decomposition Bounds for Marginal MAP. NIPS 2015: 3267-3275 - [i2]Wei Ping, Qiang Liu, Alexander T. Ihler:
Decomposition Bounds for Marginal MAP. CoRR abs/1511.02619 (2015) - 2014
- [c6]Wei Ping, Qiang Liu, Alexander T. Ihler:
Marginal Structured SVM with Hidden Variables. ICML 2014: 190-198 - [i1]Wei Ping, Qiang Liu, Alexander T. Ihler:
Marginal Structured SVM with Hidden Variables. CoRR abs/1409.1320 (2014) - 2011
- [c5]Ye Xu, Furao Shen, Wei Ping, Jinxi Zhao:
TAKES: a fast method to select features in the kernel space. CIKM 2011: 683-692 - [c4]Ye Xu, Wei Ping, Andrew T. Campbell:
Multi-instance Metric Learning. ICDM 2011: 874-883 - [c3]Yang Cai, Linjun Yang, Wei Ping, Fei Wang, Tao Mei, Xian-Sheng Hua, Shipeng Li
:
Million-scale near-duplicate video retrieval system. ACM Multimedia 2011: 837-838 - [c2]Wei Ping, Ye Xu, Jianyong Wang, Xian-Sheng Hua:
FAMER: Making Multi-Instance Learning Better and Faster. SDM 2011: 594-605 - 2010
- [c1]Wei Ping, Ye Xu, Kexin Ren, Chi-Hung Chi, Shen Furao:
Non-I.I.D. Multi-Instance Dimensionality Reduction by Learning a Maximum Bag Margin Subspace. AAAI 2010
Coauthor Index
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