Extracting automata from recurrent neural networks using queries and counterexamples (extended version)

Author:

Weiss GailORCID,Goldberg Yoav,Yahav Eran

Funder

European Research Council

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference61 articles.

1. Adi, Y., Kermany, E., Belinkov, Y., Lavi, O., & Goldberg, Y. (2016). Fine-grained analysis of sentence embeddings using auxiliary prediction tasks. http://arxiv.org/abs/1608.04207

2. Angluin, D. (1987). Learning regular sets from queries and counterexamples. Information Computer, 75(2), 87–106. https://doi.org/10.1016/0890-5401(87)90052-6.

3. Arras, L., Montavon, G., Müller, K., & Samek, W. (2017). Explaining recurrent neural network predictions in sentiment analysis. http://arxiv.org/abs/1706.07206

4. Ayache, S., Eyraud, R., & Goudian, N. (2018). Explaining black boxes on sequential data using weighted automata. In: Unold O, Dyrka W, Wieczorek W (eds) Proceedings of the 14th International Conference on Grammatical Inference, ICGI 2018, Wrocław, Poland, September 5-7, 2018, PMLR, Proceedings of Machine Learning Research, vol 93, pp 81–103, http://proceedings.mlr.press/v93/ayache19a.html

5. Balle, B., Carreras, X., Luque, F. M., & Quattoni, A. (2014). Spectral learning of weighted automata - A forward-backward perspective. Machine Learning, 96(1–2), 33–63. https://doi.org/10.1007/s10994-013-5416-x.

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