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Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning

Paper recorded by Signals 4 on 2026-09-15 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-15 on arXiv · recorded by Signals 4 on 2026-09-16

Category: cs.LG · 机器学习 · first seen 2026-09-16

Abstract

Software clones are fragments of code that are similar or functionally equivalent to each other. They pose significant challenges for maintenance, refactoring, and bug detection. Detecting Type-IV clones, which are semantically equivalent but may differ syntactically, is particularly difficult for traditional token- or syntax-based methods. Recent machine learning approaches rely on contrastive le

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#36 most recent of 215 cs.LG papers we have recorded · ↑ newer: Hybrid Variational Quantum Circuits for Multivariate Regression and Hi · ↓ older: Quantum-Inspired Trainable and Parameter-Efficient Tensor Networks for
Cite this page: Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning: the #36 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/type-iv-code-clone-detection-via-layer-wise-non-contrastive-representation-learn.html
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