Fetching the paper…
Reading the bibliography…
In this work, we propose and study annotated code search: the retrieval of code snippets paired with brief descriptions of their intent using natural language queries.
1907
Earlier work this paper cites.
1910
Earlier work this paper cites.
Z. S. Harris, “Distributional structure,”
1954
Earlier work this paper cites.
D. Kingma and M. Welling, “Auto-Encoding Variational Bayes,” in
2014
Earlier work this paper cites.
R. Kiros, Y. Zhu, R. R. Salakhutdinov, R. Zemel, R. Urtasun, A. Torralba, and S. Fidler, “Skip-thought Vectors,” in
2015
Earlier work this paper cites.
S. R. Bowman, G. Angeli, Potts Christopher, and C. D. Manning, “A large annotated corpus for learning natural language inference,” in
2015
Earlier work this paper cites.
M. Abadi, P. Barham, J. Chen, Z. Chen, A. Davis, J. Dean, M. Devin, S. Ghemawat, G. Irving, M. Isard, M. Kudlur, J. Levenberg, R. Monga, S. Moore, D. G. Murray, B. Steiner, P. Tucker, V. Vasudevan, P. Warden, M. Wicke, Y. Yu, and X. Zheng, “TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems,” 2015. [Online]. Available:
2015
Earlier work this paper cites.
2016
Earlier work this paper cites.
I. Vulić and M.-F. Moens, “Bilingual Word Embeddings from Comparable Data with Application to Bilingual Lexicon Extraction and Word Translation Disambiguation,”
2016
Earlier work this paper cites.
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
J. Johnson, M. Douze, and H. Jégou, “Billion-scale similarity search with GPUs,”
2017
Cited alongside, same era.
X. Gu, H. Zhang, and S. Kim, “Deep code search,” in
2018
Cited alongside, same era.
S. Sachdev, H. Li, S. Luan, S. Kim, K. Sen, and S. Chandra, “Retrieval on source code: a neural code search,” in
2018
Cited alongside, same era.
M. Peters, M. Neumann, M. Iyyer, M. Gardner, C. Clark, K. Lee, and L. Zettlemoyer, “Deep Contextualized Word Representations,” in
2018
Cited alongside, same era.
2018
Cited alongside, same era.
J. Cambronero, H. Li, S. Kim, K. Sen, and S. Chandra, “When deep learning met code search,” in
2019
Later among the works it cites.
2019
Later among the works it cites.
Z. Yao, J. R. Peddamail, and H. Sun, “CoaCor: code annotation for code retrieval with reinforcement learning,” in
2019
Later among the works it cites.
2019
Later among the works it cites.
Z. Akkalyoncu Yilmaz, S. Wang, W. Yang, H. Zhang, and J. Lin, “Applying BERT to Document Retrieval with Birch,” in
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…
2018
Cited alongside, same era.
A. Radford, K. Narasimhan, T. Salimans, and I. Sutskever, “Improving language understanding by generative pre-training,”
2018
Cited alongside, same era.
P. Yin, B. Deng, E. Chen, B. Vasilescu, and G. Neubig, “Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow,” in
2018
Cited alongside, same era.
Z. Yao, D. S. Weld, W.-P. Chen, and H. Sun, “StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow,” in
2018
Cited alongside, same era.
J. Peddamail, Z. Wang, Z. Yao, and H. Sun, “A Comprehensive Study of StaQC for Deep Code Summarization,” in
2018
Cited alongside, same era.
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, and I. Sutskever, “Language models are unsupervised multitask learners,”
2019
Later among the works it cites.
N. Reimers and I. Gurevych, “Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks,” in
2019
Later among the works it cites.
K. Ethayarajh, “How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings,” in
2019
Later among the works it cites.
2020
Closest in time.
W. Ye, R. Xie, J. Zhang, T. Hu, X. Wang, and S. Zhang, “Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning,” in
2020
Closest in time.