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Code Clone Detection, which aims to retrieve functionally similar programs from large code bases, has been attracting increasing attention.
A probabilistic model of information retrieval: development and comparative experiments: Part 1
Sparck Jones, K.; Walker, S.; and Robertson, S. 2000 · 2000
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CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Feng, Z.; Guo, D.; Tang, D.; Duan, N.; Feng, X.; Gong, M.; Shou, L.; Qin, B.; Liu, T.; Jiang, D.; and Zhou, M. 2020 · 2002
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Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree
Wang, W.; Li, G.; Ma, B.; Xia, X.; and Jin, Z. 2020 · 2002
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GraphCodeBERT: Pre-training Code Representations with Data Flow
Guo, D.; Ren, S.; Lu, S.; Feng, Z.; Tang, D.; Liu, S.; Zhou, L.; Duan, N.; Svyatkovskiy, A.; Fu, S.; Tufano, M.; Deng, S. K.; Clement, C.; Drain, D.; Sundaresan, N.; Yin, J.; Jiang, D.; and Zhou, M. 2021 · 2009
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Convolutional neural networks over tree structures for programming language processing
Mou, L.; Li, G.; Zhang, L.; Wang, T.; and Jin, Z. 2016 · 2016
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Supervised Deep Features for Software Functional Clone Detection by Exploiting Lexical and Syntactical Information in Source Code
Wei, H.-H.; and Li, M. 2017 · 2017
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Neural code comprehension: a learnable representation of code semantics
Ben-Nun, T.; Jakobovits, A. S.; and Hoefler, T. 2018 · 2018
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Deep Clustering for Unsupervised Learning of Visual Features
Caron, M.; Bojanowski, P.; Joulin, A.; and Douze, M. 2018 · 2018
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Understanding Back-Translation at Scale
Edunov, S.; Ott, M.; Auli, M.; and Grangier, D. 2018 · 2018
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Benchmarks for software clone detection: A ten-year retrospective
Roy, C. K.; and Cordy, J. R. 2018 · 2018
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Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
Artetxe, M.; and Schwenk, H. 2019 · 2019
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CLCDSA: Cross Language Code Clone Detection using Syntactical Features and API Documentation
Nafi, K. W.; Kar, T. S.; Roy, B.; Roy, C. K.; and Schneider, K. A. 2019 · 2019
Earlier work this paper cites.
Representation Learning with Contrastive Predictive Coding
van den Oord, A.; Li, Y.; and Vinyals, O. 2019 · 2019
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Neural Detection of Semantic Code Clones Via Tree-Based Convolution
Yu, H.; Lam, W.; Chen, L.; Li, G.; Xie, T.; and Wang, Q. 2019 · 2019
Cited alongside, same era.
A Novel Neural Source Code Representation Based on Abstract Syntax Tree
Zhang, J.; Wang, X.; Zhang, H.; Sun, H.; Wang, K.; and Liu, X. 2019 · 2019
Cited alongside, same era.
A Simple Framework for Contrastive Learning of Visual Representations
Chen, T.; Kornblith, S.; Norouzi, M.; and Hinton, G. 2020 · 2020
Cited alongside, same era.
Momentum Contrast for Unsupervised Visual Representation Learning
He, K.; Fan, H.; Wu, Y.; Xie, S.; and Girshick, R. 2020 · 2020
Cited alongside, same era.
A Metric Learning Reality Check
Musgrave, K.; Belongie, S.; and Lim, S.-N. 2020 · 2020
Cited alongside, same era.
IR2VEC: LLVM IR Based Scalable Program Embeddings
VenkataKeerthy, S.; Aggarwal, R.; Jain, S.; Desarkar, M. S.; Upadrasta, R.; and Srikant, Y. N. 2020 · 2020
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the Web
Schwenk, H.; Wenzek, G.; Edunov, S.; Grave, E.; Joulin, A.; and Fan, A. 2021 · 2021
Later among the works it cites.
Whitening Sentence Representations for Better Semantics and Faster Retrieval
Su, J.; Cao, J.; Liu, W.; and Ou, Y. 2021 · 2021
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CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Wang, Y.; Wang, W.; Joty, S.; and Hoi, S. C. 2021 · 2021
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Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Zbontar, J.; Jing, L.; Misra, I.; LeCun, Y.; and Deny, S. 2021 · 2021
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Multilingual training for Software Engineering
Ahmed, T.; and Devanbu, P. 2022 · 2022
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Cited alongside, same era.
MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure
Ye, F.; Zhou, S.; Venkat, A.; Marcus, R.; Tatbul, N.; Tithi, J. J.; Hasabnis, N.; Petersen, P.; Mattson, T.; Kraska, T.; Dubey, P.; Sarkar, V.; and Gottschlich, J. 2020 · 2020
Cited alongside, same era.
Meta-Learning With Task-Adaptive Loss Function for Few-Shot Learning
Baik, S.; Choi, J.; Kim, H.; Cho, D.; Min, J.; and Lee, K. M. 2021 · 2021
Cited alongside, same era.
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Gao, T.; Yao, X.; and Chen, D. 2021 · 2021
Cited alongside, same era.
Contrastive Code Representation Learning
Jain, P.; Jain, A.; Zhang, T.; Abbeel, P.; Gonzalez, J.; and Stoica, I. 2021 · 2021
Cited alongside, same era.
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
Lachaux, M.-A.; Roziere, B.; Szafraniec, M.; and Lample, G. 2021 · 2021
Cited alongside, same era.
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Puri, R.; Kung, D.; Janssen, G.; Zhang, W.; Domeniconi, G.; Zolotov, V.; Dolby, J. T.; Chen, J.; Choudhury, M.; Decker, L.; Thost, V.; Thost, V.; Buratti, L.; Pujar, S.; Ramji, S.; Finkler, U.; Malaika, S.; and Reiss, F. 2021 · 2021
Cited alongside, same era.
Cross-Domain Deep Code Search with Meta Learning
Chai, Y.; Zhang, H.; Shen, B.; and Gu, X. 2022 · 2022
Later among the works it cites.
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
Ding, Y.; Buratti, L.; Pujar, S.; Morari, A.; Ray, B.; and Chakraborty, S. 2022 · 2022
Later among the works it cites.
UniXcoder: Unified Cross-Modal Pre-training for Code Representation
Guo, D.; Lu, S.; Duan, N.; Wang, Y.; Zhou, M.; and Yin, J. 2022 · 2022
Later among the works it cites.
Cross-Lingual Transfer Learning for Statistical Type Inference
Li, Z.; Xie, X.; Li, H.; Xu, Z.; Li, Y.; and Liu, Y. 2022 · 2022
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Introducing ChatGPT
OpenAI. 2022a · 2022
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New and improved embedding model
OpenAI. 2022b · 2022
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CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X
Zheng, Q.; Xia, X.; Zou, X.; Dong, Y.; Wang, S.; Xue, Y.; Wang, Z.; Shen, L.; Wang, A.; Li, Y.; Su, T.; Yang, Z.; and Tang, J. 2023 · 2023
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