Towards learning generalizable code embeddings using task-agnostic graph convolutional networks
Code embeddings have seen increasing applications in software engineering (SE) research
and practice recently. Despite the advances in embedding techniques applied in SE …
and practice recently. Despite the advances in embedding techniques applied in SE …
[PDF][PDF] Towards Learning Generalizable Code Embeddings using Task-agnostic Graph Convolutional Networks
Z DING, H LI, W SHANG, TSEHP CHEN - 2022 - ece.uwaterloo.ca
Over the last few years, both researchers and practitioners have witnessed the success of
applying deep learning techniques to natural language processing (NLP) tasks [?]. The …
applying deep learning techniques to natural language processing (NLP) tasks [?]. The …
[PDF][PDF] Towards Learning Generalizable Code Embeddings using Task-agnostic Graph Convolutional Networks
Z DING, H LI, W SHANG, TSEHP CHEN - 2022 - hengli.org
Over the last few years, both researchers and practitioners have witnessed the success of
applying deep learning techniques to natural language processing (NLP) tasks [?]. The …
applying deep learning techniques to natural language processing (NLP) tasks [?]. The …
[PDF][PDF] Towards Learning Generalizable Code Embeddings using Task-agnostic Graph Convolutional Networks
Z DING, H LI, W SHANG, TSEHP CHEN - 2022 - users.encs.concordia.ca
Over the last few years, both researchers and practitioners have witnessed the success of
applying deep learning techniques to natural language processing (NLP) tasks [?]. The …
applying deep learning techniques to natural language processing (NLP) tasks [?]. The …
[PDF][PDF] Towards Learning Generalizable Code Embeddings using Task-agnostic Graph Convolutional Networks
Z DING, H LI, W SHANG, TSEHP CHEN - 2022 - scholar.archive.org
Over the last few years, both researchers and practitioners have witnessed the success of
applying deep learning techniques to natural language processing (NLP) tasks [?]. The …
applying deep learning techniques to natural language processing (NLP) tasks [?]. The …
[引用][C] Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks
Z Ding, H Li, W Shang… - ACM Transactions on …, 2023 - publications.polymtl.ca
Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional
Networks - PolyPublie < Retour au portail Polytechnique Montréal English Accueil À propos …
Networks - PolyPublie < Retour au portail Polytechnique Montréal English Accueil À propos …
[PDF][PDF] Towards Learning Generalizable Code Embeddings using Task-agnostic Graph Convolutional Networks
Z DING, H LI, W SHANG, TSEHP CHEN - 2022 - petertsehsun.github.io
Over the last few years, both researchers and practitioners have witnessed the success of
applying deep learning techniques to natural language processing (NLP) tasks [?]. The …
applying deep learning techniques to natural language processing (NLP) tasks [?]. The …
[PDF][PDF] Towards Learning Generalizable Code Embeddings using Task-agnostic Graph Convolutional Networks
Z DING, H LI, W SHANG, TSEHP CHEN - 2022 - hengli.org
Over the last few years, both researchers and practitioners have witnessed the success of
applying deep learning techniques to natural language processing (NLP) tasks [?]. The …
applying deep learning techniques to natural language processing (NLP) tasks [?]. The …