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Code Classification

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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings

CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection

ORIGAMI: A generative transformer architecture for predictions from semi-structured data

Large Language Model in Medical Informatics: Direct Classification and Enhanced Text Representations for Automatic ICD Coding

More Questions than Answers? Lessons from Integrating Explainable AI into a Cyber-AI Tool

Enhancing Source Code Classification Effectiveness via Prompt Learning Incorporating Knowledge Features

Graph Convolutions Enrich the Self-Attention in Transformers!

Sparse Attention-Based Neural Networks for Code Classification

A General-Purpose Self-Supervised Model for Computational Pathology

Replication and Extension of Schnappinger’s Study on Human-level Ordinal Maintainability Prediction Based on Static Code Metrics

Understanding Programs by Exploiting (Fuzzing) Test Cases

InProC: Industry and Product/Service Code Classification

The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification

Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification

Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study

xASTNN: Improved Code Representations for Industrial Practice

MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation

On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing

Adding Context to Source Code Representations for Deep Learning

CodeS: Towards Code Model Generalization Under Distribution Shift

HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations

Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora

ICDBigBird: A Contextual Embedding Model for ICD Code Classification

Accelerating Code Search with Deep Hashing and Code Classification

Learning Program Semantics with Code Representations: An Empirical Study

Semantic Code Classification for Automated Machine Learning

Energy-bounded Learning for Robust Models of Code

Classification of Goods Using Text Descriptions With Sentences Retrieval

Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification

Toward Semi-Automatic Misconception Discovery Using Code Embeddings

InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees

Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers

Embedding Java Classes with code2vec: Improvements from Variable Obfuscation

SCC: Automatic Classification of Code Snippets

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