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John Miller
John Miller
Verified email at berkeley.edu - Homepage
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Cited by
Cited by
Year
Deep Voice: Real-time neural text-to-speech
SO Arik, M Chrzanowski, A Coates, G Diamos, A Gibiansky, Y Kang, X Li, ...
Internation Conference on Machine Learning, 2017
5672017
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
S Arik, G Diamos, A Gibiansky, J Miller, K Peng, W Ping, J Raiman, ...
Advances in Neural Information Processing, 2017
443*2017
Deep voice 3: Scaling text-to-speech with convolutional sequence learning
W Ping, K Peng, A Gibiansky, SO Arik, A Kannan, S Narang, J Raiman, ...
arXiv preprint arXiv:1710.07654, 2017
3582017
Traversing Knowledge Graphs in Vector Space
K Guu, J Miller, P Liang
Empirical Methods in Natural Language Processing, 2015
3282015
Deep Voice 3: 2000-Speaker Neural Text-to-Speech.
W Ping, K Peng, A Gibiansky, SÖ Arik, A Kannan, S Narang, J Raiman, ...
2502017
Test-time training with self-supervision for generalization under distribution shifts
Y Sun, X Wang, Z Liu, J Miller, A Efros, M Hardt
International conference on machine learning, 9229-9248, 2020
215*2020
Stable recurrent models
J Miller, M Hardt
arXiv preprint arXiv:1805.10369, 2018
134*2018
The social cost of strategic classification
S Milli, J Miller, AD Dragan, M Hardt
Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019
1112019
A meta-analysis of overfitting in machine learning
R Roelofs, V Shankar, B Recht, S Fridovich-Keil, M Hardt, J Miller, ...
Advances in Neural Information Processing Systems 32, 2019
862019
Strategic Classification is Causal Modeling in Disguise
J Miller, S Milli, M Hardt
arXiv preprint arXiv:1910.10362, 2019
62*2019
The effect of natural distribution shift on question answering models
J Miller, K Krauth, B Recht, L Schmidt
International Conference on Machine Learning, 6905-6916, 2020
532020
Retiring adult: New datasets for fair machine learning
F Ding, M Hardt, J Miller, L Schmidt
Advances in Neural Information Processing Systems 34, 6478-6490, 2021
512021
Accuracy on the line: on the strong correlation between out-of-distribution and in-distribution generalization
JP Miller, R Taori, A Raghunathan, S Sagawa, PW Koh, V Shankar, ...
International Conference on Machine Learning, 7721-7735, 2021
402021
Model similarity mitigates test set overuse
H Mania, J Miller, L Schmidt, M Hardt, B Recht
Advances in Neural Information Processing Systems 32, 2019
312019
Globally Normalized Reader
J Raiman, J Miller
Empirical Methods in Natural Language Processing, 2017
242017
Outside the echo chamber: Optimizing the performative risk
JP Miller, JC Perdomo, T Zrnic
International Conference on Machine Learning, 7710-7720, 2021
222021
Systems and methods for multi-speaker neural text-to-speech
G DIAMOS, A GIBIANSKY, J Miller, P Kainan, P Wei, J RAIMAN, Z Yanqi
US Patent 10,896,669, 2021
172021
Systems and methods for real-time neural text-to-speech
M Chrzanowski, A Coates, G DIAMOS, A GIBIANSKY, J Miller, A Ng, ...
US Patent 10,872,598, 2020
72020
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
32022
Systems and methods for neural text-to-speech using convolutional sequence learning
P Wei, P Kainan, S NARANG, A KANNAN, A GIBIANSKY, J RAIMAN, ...
US Patent 10,796,686, 2020
32020
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