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CSSAM:Code Search via Attention Matching of Code Semantics and
  Structures

CSSAM:Code Search via Attention Matching of Code Semantics and Structures

8 August 2022
Y. Hu
Bowen Cai
Yaoxiang Yu
ArXivPDFHTML

Papers citing "CSSAM:Code Search via Attention Matching of Code Semantics and Structures"

3 / 3 papers shown
Title
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
235
1,489
0
02 Sep 2021
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
241
3,236
0
24 Nov 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
230
31,253
0
16 Jan 2013
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