Fetching the paper…
Reading the bibliography…
Automatic code synthesis from natural language descriptions is a challenging task.
Gulwani, S.: Automating string processing in spreadsheets using input-output examples. ACM Sigplan Notices 46
2011
Earlier work this paper cites.
Menon, A., Tamuz, O., Gulwani, S., Lampson, B., Kalai, A.: A machine learning framework for programming by example. In: International Conference on Machine Learning. pp. 187–195 (2013)
2013
Earlier work this paper cites.
Cho, K., van Merriënboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., Bengio, Y.: Learning phrase representations using RNN encoder–decoder for statistical machine translation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). pp. 1724–1734. Association for Computational Linguistics, Doha, Qatar (Oct 2014)
2014
Earlier work this paper cites.
Sennrich, R., Haddow, B., Birch, A.: Improving neural machine translation models with monolingual data. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). pp. 86–96 (2016)
2016
Earlier work this paper cites.
Britz, D., Goldie, A., Luong, M.T., Le, Q.: Massive exploration of neural machine translation architectures. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, Copenhagen, Denmark (Sep 2017)
2017
Earlier work this paper cites.
Devlin, J., Uesato, J., Bhupatiraju, S., Singh, R., Mohamed, A.r., Kohli, P.: Robustfill: Neural program learning under noisy i/o. In: Proceedings of the 34th International Conference on Machine Learning-Volume 70. pp. 990–998. JMLR. org (2017)
2017
Earlier work this paper cites.
Lin, X.V., Wang, C., Pang, D., Vu, K., Ernst, M.D.: Program synthesis from natural language using recurrent neural networks. University of Washington Department of Computer Science and Engineering, Seattle, WA, USA, Tech. Rep. UW-CSE-17-03-01 (2017)
2017
Earlier work this paper cites.
Ma, W., Ni, Z., Cao, K., Li, X., Chin, S.: Seq2tree: A tree-structured extension of lstm network (2017)
2017
Earlier work this paper cites.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I.: Attention is all you need. In: Advances in neural information processing systems. pp. 5998–6008 (2017)
2017
Earlier work this paper cites.
2017
Cited alongside, same era.
2018
Cited alongside, same era.
Bunel, R., Hausknecht, M., Devlin, J., Singh, R., Kohli, P.: Leveraging grammar and reinforcement learning for neural program synthesis. In: International Conference on Learning Representations (2018)
2018
Cited alongside, same era.
Hu, X., Li, G., Xia, X., Lo, D., Lu, S., Jin, Z.: Summarizing source code with transferred api knowledge. In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18. pp. 2269–2275. International Joint Conferences on Artificial Intelligence Organization (7 2018)
2018
Hsieh, Y.L., Cheng, M., Juan, D.C., Wei, W., Hsu, W.L., Hsieh, C.J.: On the robustness of self-attentive models. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. pp. 1520–1529 (2019)
2019
Later among the works it cites.
Li, N., Liu, S., Liu, Y., Zhao, S., Liu, M.: Neural speech synthesis with transformer network. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 33, pp. 6706–6713 (2019)
2019
Later among the works it cites.
Nye, M., Hewitt, L., Tenenbaum, J., Solar-Lezama, A.: Learning to infer program sketches. In: International Conference on Machine Learning. pp. 4861–4870 (2019)
2019
Later among the works it cites.
2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
2018
Cited alongside, same era.
2018
Cited alongside, same era.
Abzianidze, L., van Noord, R., Haagsma, H., Bos, J.: The first shared task on discourse representation structure parsing. In: Proceedings of the IWCS Shared Task on Semantic Parsing (2019)
2019
Cited alongside, same era.
Balog, M., Gaunt, A., Brockschmidt, M., Nowozin, S., Tarlow, D.: Deepcoder: Learning to write programs. In: 5th International Conference on Learning Representations, ICLR 2017-Conference Track Proceedings (2019)
2019
Cited alongside, same era.
Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). pp. 4171–4186 (2019)
2019
Cited alongside, same era.
Wang, Q., Li, B., Xiao, T., Zhu, J., Li, C., Wong, D.F., Chao, L.S.: Learning deep transformer models for machine translation. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. pp. 1810–1822 (2019)
2019
Later among the works it cites.
Wei, J., Zou, K.: Eda: Easy data augmentation techniques for boosting performance on text classification tasks. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). pp. 6383–6389 (2019)
2019
Later among the works it cites.
Wu, X., Lv, S., Zang, L., Han, J., Hu, S.: Conditional bert contextual augmentation. In: Rodrigues, J.M.F., Cardoso, P.J.S., Monteiro, J., Lam, R., Krzhizhanovskaya, V.V., Lees, M.H., Dongarra, J.J., Sloot, P.M. (eds.) Computational Science – ICCS 2019. pp. 84–95. Springer International Publishing, Cham (2019)
2019
Later among the works it cites.
Yuan, X., He, P., Zhu, Q., Li, X.: Adversarial examples: Attacks and defenses for deep learning. IEEE transactions on neural networks and learning systems 30
2019
Later among the works it cites.