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Code search is to search reusable code snippets from source code corpus based on natural languages queries.
Codesearchnet challenge: Evaluating the state of semantic code search
Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltiadis Allamanis, and Marc Brockschmidt. 2019 · 1909
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A survey on deep hashing methods
Xiao Luo, Chong Chen, Huasong Zhong, Hao Zhang, Minghua Deng, Jianqiang Huang, and Xiansheng Hua. 2020 · 2003
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Neural code search revisited: Enhancing code snippet retrieval through natural language intent
Geert Heyman and Tom Van Cutsem. 2020 · 2008
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Two studies of opportunistic programming: interleaving web foraging, learning, and writing code
Joel Brandt, Philip J. Guo, Joel Lewenstein, Mira Dontcheva, and Scott R. Klemmer. 2009 · 2009
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The probabilistic relevance framework: BM25 and beyond
Stephen E. Robertson and Hugo Zaragoza. 2009 · 2009
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Portfolio: finding relevant functions and their usage
Collin McMillan, Mark Grechanik, Denys Poshyvanyk, Qing Xie, and Chen Fu. 2011 · 2011
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On the properties of neural machine translation: Encoder-decoder approaches
Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014 · 2014
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Effective multi-modal retrieval based on stacked auto-encoders
Wei Wang, Beng Chin Ooi, Xiaoyan Yang, Dongxiang Zhang, and Yueting Zhuang. 2014 · 2014
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Latent semantic sparse hashing for cross-modal similarity search
Jile Zhou, Guiguang Ding, and Yuchen Guo. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Codehow: Effective code search based on API understanding and extended boolean model (E)
Fei Lv, Hongyu Zhang, Jian-Guang Lou, Shaowei Wang, Dongmei Zhang, and Jianjun Zhao. 2015 · 2015
Cited alongside, same era.
Learning to hash for indexing big data - A survey
Jun Wang, Wei Liu, Sanjiv Kumar, and Shih-Fu Chang. 2016 · 2016
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Hashnet: Deep learning to hash by continuation
Zhangjie Cao, Mingsheng Long, Jianmin Wang, and Philip S. Yu. 2017 · 2017
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Unsupervised cross-modal retrieval through adversarial learning
Li He, Xing Xu, Huimin Lu, Yang Yang, Fumin Shen, and Heng Tao Shen. 2017 · 2017
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Deep code search
Xiaodong Gu, Hongyu Zhang, and Sunghun Kim. 2018 · 2018
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Retrieval on source code: a neural code search
Saksham Sachdev, Hongyu Li, Sifei Luan, Seohyun Kim, Koushik Sen, and Satish Chandra. 2018 · 2018
Deep joint-semantics reconstructing hashing for large-scale unsupervised cross-modal retrieval
Shupeng Su, Zhisheng Zhong, and Chao Zhang. 2019 · 2019
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Coacor: Code annotation for code retrieval with reinforcement learning
Ziyu Yao, Jayavardhan Reddy Peddamail, and Huan Sun. 2019 · 2019
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Codebert: A pre-trained model for programming and natural languages
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, and Ming Zhou. 2020 · 2020
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A multi-perspective architecture for semantic code search
Rajarshi Haldar, Lingfei Wu, Jinjun Xiong, and Julia Hockenmaier. 2020 · 2020
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Improving code search with co-attentive representation learning
Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, and Yan Lei. 2020 · 2020
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Cited alongside, same era.
Unsupervised deep hashing via binary latent factor models for large-scale cross-modal retrieval
Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, and Jialie Shen. 2018 · 2018
Cited alongside, same era.
Unsupervised generative adversarial cross-modal hashing
Jian Zhang, Yuxin Peng, and Mingkuan Yuan. 2018 · 2018
Cited alongside, same era.
When deep learning met code search
José Cambronero, Hongyu Li, Seohyun Kim, Koushik Sen, and Satish Chandra. 2019 · 2019
Cited alongside, same era.
Deep binary reconstruction for cross-modal hashing
Di Hu, Feiping Nie, and Xuelong Li. 2019 · 2019
Cited alongside, same era.
Is a single model enough? mucos: A multi-model ensemble learning approach for semantic code search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, and Dongmei Zhang. 2021 · 2021
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Self-attention networks for code search
Sen Fang, Youshuai Tan, Tao Zhang, and Yepang Liu. 2021 · 2021
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Cradle: Deep code retrieval based on semantic dependency learning
Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, and Michael R. Lyu. 2021 · 2021
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Graphcodebert: Pre-training code representations with data flow
Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, and Ming Zhou. 2021 · 2021
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Collective matrix factorization hashing for multimodal data
Guiguang Ding, Yuchen Guo, and Jile Zhou. 2014 · 2090
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