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Ning Miao
Ning Miao
Department of Statistics, University of Oxford
Verified email at stats.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Cgmh: Constrained sentence generation by metropolis-hastings sampling
N Miao, H Zhou, L Mou, R Yan, L Li
Proceedings of the AAAI Conference on Artificial Intelligence, 2019
1762019
Generating fluent adversarial examples for natural languages
H Zhang, H Zhou, N Miao, L Li
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2020
1542020
Dispersed exponential family mixture vaes for interpretable text generation
W Shi, H Zhou, N Miao, L Li
International Conference on Machine Learning, 8840-8851, 2020
35*2020
Selfcheck: Using llms to zero-shot check their own step-by-step reasoning
N Miao, YW Teh, T Rainforth
arXiv preprint arXiv:2308.00436, 2023
282023
On incorporating inductive biases into VAEs
N Miao, E Mathieu, N Siddharth, YW Teh, T Rainforth
International Conference on Learning Representations, 2022
13*2022
Learning Instance-Specific Augmentations by Capturing Local Invariances
N Miao, T Rainforth, E Mathieu, Y Dubois, YW Teh, A Foster, H Kim
International Conference on Machine Learning, 2023
102023
Do you have the right scissors? tailoring pre-trained language models via monte-carlo methods
N Miao, Y Song, H Zhou, L Li
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
72020
Improving maximum likelihood training for text generation with density ratio estimation
Y Song, N Miao, H Zhou, L Yu, M Wang, L Li
International Conference on Artificial Intelligence and Statistics, 122-132, 2020
52020
Kernelized bayesian softmax for text generation
N Miao, H Zhou, C Zhao, W Shi, L Li
Advances in Neural Information Processing Systems, 2019
42019
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Articles 1–9