Ning MIAO

Prof. Ning MIAO, 苗寧

  • LAU-16-222

Calculated based on number of publications stored in Pure and citations from Scopus
20192025

Research activity per year

  • 9 RGC 32 - Refereed conference paper (with host publication)
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RGC 32 - Refereed conference paper (with host publication)

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  • 2024

    SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

    Miao, N., Teh, Y. W. & Rainforth, T., Oct 2024, 12th International Conference on Learning Representations (ICLR 2024). International Conference on Learning Representations, ICLR, 16 p. (International Conference on Learning Representations, ICLR).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    15 Citations (Scopus)
  • 2023

    Learning Instance-Specific Augmentations by Capturing Local Invariances

    Miao, N., Rainforth, T., Mathieu, E., Dubois, Y., Teh, Y. W., Foster, A. & Kim, H., 2023, ICML'23: Proceedings of the 40th International Conference on Machine Learning. Krause, A., Cho, K., Engelhardt, B., Sabato, S. & Scarlett, J. (eds.). JMLR.org, p. 24720-24736 1028. (Proceedings of Machine Learning Research; vol. 202).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Open Access
    3 Citations (Scopus)
  • 2022

    ON INCORPORATING INDUCTIVE BIASES INTO VAES

    Miao, N., Mathieu, E., Siddharth, N., Teh, Y. W. & Rainforth, T., 2022, The Tenth International Conference on Learning Representations: ICLR 2022. International Conference on Learning Representations, ICLR, (ICLR - International Conference on Learning Representations).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Open Access
    1 Citation (Scopus)
  • 2020

    Dispersed exponential family mixture VAEs for interpretable text generation

    Shi, W., Zhou, H., Miao, N. & Li, L., Jul 2020, 37th International Conference on Machine Learning (ICML 2020): Proceedings of Machine Learning Research. Daumé III, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), Vol. 119. p. 8799-8810 (International Conference on Machine Learning, ICML; vol. PartF168147-12).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Open Access
    12 Citations (Scopus)

  • Do you have the right scissors? Tailoring pre-trained language models via Monte-Carlo methods

    Miao, N., Song, Y., Zhou, H. & Li, L., Jul 2020, ACL 2020 - The 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Jurafsky, D., Chai, J., Schluter, N. & Tetreault, J. (eds.). Stroudsburg, PA: Association for Computational Linguistics, p. 3436-3441 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    4 Citations (Scopus)

  • Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation

    Song, Y., Miao, N., Zhou, H., Yu, L., Wang, M. & Li, L., Aug 2020, Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics. Chiappa, S. & Calandra, R. (eds.). p. 122-132 (Proceedings of Machine Learning Research; vol. 108).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Open Access
    5 Citations (Scopus)
  • 2019

    CGMH: Constrained sentence generation by metropolis-hastings sampling

    Miao, N., Zhou, H., Mou, L., Yan, R. & Li, L., 2019, AAAI'19/IAAI'19/EAAI'19: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial Intelligence. AAAI Press, p. 6834-6842

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Open Access
    135 Citations (Scopus)

  • Generating fluent adversarial examples for natural languages

    Zhang, H., Zhou, H., Miao, N. & Li, L., Jul 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Korhonen, A., Traum, D. & Màrquez, L. (eds.). Association for Computational Linguistics, p. 5564-5569 (ACL - Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    92 Citations (Scopus)

  • Kernelized Bayesian softmax for text generation

    Miao, N., Zhou, H., Zhao, C., Shi, W. & Li, L., Dec 2019, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Curran Associates Inc., Vol. 16. p. 12476-12486 (Advances in Neural Information Processing Systems; vol. 32).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Open Access
    2 Citations (Scopus)