deploy: 99ed293

Author: mallamanis

paper-abstracts.json

@@ -1 +1 @@
-[["mir2021type4py", "Type4Py: Deep Similarity Learning-Based Type Inference for Python"], ["malik2019nl2type", "NL2Type: Inferring JavaScript Function Types from Natural Language Information"], ["wei2020lambdanet", "LambdaNet: Probabilistic Type Inference using Graph Neural Networks"], ["jesse2022learning", "Learning To Predict User-Defined Types"]]
+[["mir2021type4py", "Type4Py: Deep Similarity Learning-Based Type Inference for Python"], ["wei2020lambdanet", "LambdaNet: Probabilistic Type Inference using Graph Neural Networks"], ["malik2019nl2type", "NL2Type: Inferring JavaScript Function Types from Natural Language Information"], ["hellendoorn2018deep", "Deep Learning Type Inference"]]

papers.html

@@ -1 +1 @@
-[["deze2022bridging", "Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding"], ["niu2022spt-code", "SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations"], ["deze2021mulcode", "MulCode: A Multi-task Learning Approach for Source Code Understanding"], ["siow2022learning", "Learning Program Semantics with Code Representations: An Empirical Study"]]
+[["niu2022spt-code", "SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations"], ["deze2022bridging", "Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding"], ["deze2021mulcode", "MulCode: A Multi-task Learning Approach for Source Code Understanding"], ["zhang2019novel", "A Novel Neural Source Code Representation based on Abstract Syntax Tree"]]

publications-metadata/allamanis2020typilus.json

@@ -1 +1 @@
-[["chen2023diversevul", "DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection"], ["russell2018automated", "Automated Vulnerability Detection in Source Code Using Deep Representation Learning"], ["zhou2019devign", "Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks"], ["siow2022learning", "Learning Program Semantics with Code Representations: An Empirical Study"]]
+[["chen2023diversevul", "DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection"], ["russell2018automated", "Automated Vulnerability Detection in Source Code Using Deep Representation Learning"], ["wang2023deepvd", "DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection"], ["yadavally2023partial", "(Partial) Program Dependence Learning"]]

publications-metadata/bui2021infercode.json

@@ -1 +1 @@
-[["jiang2021treebert", "TreeBERT: A Tree-Based Pre-Trained Model for Programming Language"], ["wang2019learning", "Learning Scalable and Precise Representation of Program Semantics"], ["siow2022learning", "Learning Program Semantics with Code Representations: An Empirical Study"], ["guo2022unixcoder", "UniXcoder: Unified Cross-Modal Pre-training for Code Representation"]]
+[["jiang2021treebert", "TreeBERT: A Tree-Based Pre-Trained Model for Programming Language"], ["wang2019learning", "Learning Scalable and Precise Representation of Program Semantics"], ["siow2022learning", "Learning Program Semantics with Code Representations: An Empirical Study"], ["wang2021syncobert", "SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation"]]

publications-metadata/chakraborty2020deep.json

@@ -1 +1 @@
-[["chakraborty2020deep", "Deep Learning based Vulnerability Detection: Are We There Yet?"], ["russell2018automated", "Automated Vulnerability Detection in Source Code Using Deep Representation Learning"], ["zhou2019devign", "Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks"], ["siow2022learning", "Learning Program Semantics with Code Representations: An Empirical Study"]]
+[["chakraborty2020deep", "Deep Learning based Vulnerability Detection: Are We There Yet?"], ["russell2018automated", "Automated Vulnerability Detection in Source Code Using Deep Representation Learning"], ["wang2023deepvd", "DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection"], ["zhou2019devign", "Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks"]]

publications-metadata/chen2019capturing.json

@@ -1 +1 @@
-[["chibotaru2019scalable", "Scalable Taint Specification Inference with Big Code"], ["malik2019nl2type", "NL2Type: Inferring JavaScript Function Types from Natural Language Information"], ["chakraborty2020deep", "Deep Learning based Vulnerability Detection: Are We There Yet?"], ["russell2018automated", "Automated Vulnerability Detection in Source Code Using Deep Representation Learning"]]
+[["chibotaru2019scalable", "Scalable Taint Specification Inference with Big Code"], ["wang2023deepvd", "DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection"], ["malik2019nl2type", "NL2Type: Inferring JavaScript Function Types from Natural Language Information"], ["chakraborty2020deep", "Deep Learning based Vulnerability Detection: Are We There Yet?"]]

publications-metadata/chen2023diversevul.json

@@ -1 +1 @@
-[["brauckmann2020compiler", "Compiler-based graph representations for deep learning models of code"], ["chae2016automatically", "Automatically generating features for learning program analysis heuristics"], ["cummins2020programl", "ProGraML: Graph-based Deep Learning for Program Optimization and Analysis"], ["cummins2017synthesizing", "Synthesizing benchmarks for predictive modeling"]]
+[["brauckmann2020compiler", "Compiler-based graph representations for deep learning models of code"], ["cummins2020programl", "ProGraML: Graph-based Deep Learning for Program Optimization and Analysis"], ["chae2016automatically", "Automatically generating features for learning program analysis heuristics"], ["cummins2017synthesizing", "Synthesizing benchmarks for predictive modeling"]]

publications-metadata/chow2023beware.json

@@ -1 +1 @@
-[["heyman2020neural", "Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent"], ["gu2018deep", "Deep Code Search"], ["li2019neural", "Neural Code Search Evaluation Dataset"], ["yao2019coacor", "CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning"]]
+[["heyman2020neural", "Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent"], ["gu2018deep", "Deep Code Search"], ["li2019neural", "Neural Code Search Evaluation Dataset"], ["zhang2021bag", "Bag-of-Words Baselines for Semantic Code Search"]]