Using Word Embeddings to Explore the Learned Representations of Convolutional Neural Networks

no code implementations • 27 Sep 2018 • Dhanush Dharmaretnam, Chris Foster, Alona Fyshe

Here we build on previous work that indicated that two very different model classes trained on two very different tasks actually build knowledge representations that have similar underlying representations.

Adversarial Attack Image Classification +1

Predicting the Programming Language of Questions and Snippets of StackOverflow Using Natural Language Processing

no code implementations • 21 Sep 2018 • Kamel Alreshedy, Dhanush Dharmaretnam, Daniel M. German, Venkatesh Srinivasan, T. Aaron Gulliver

The classifier achieves an accuracy of 91. 1% in predicting the 24 most popular programming languages by combining features from the title, body and the code snippets of the question.

BIG-bench Machine Learning TAG

SCC: Automatic Classification of Code Snippets

1 code implementation • 21 Sep 2018 • Kamel Alreshedy, Dhanush Dharmaretnam, Daniel M. German, Venkatesh Srinivasan, T. Aaron Gulliver

Determining the programming language of a source code file has been considered in the research community; it has been shown that Machine Learning (ML) and Natural Language Processing (NLP) algorithms can be effective in identifying the programming language of source code files.

Classification Code Classification +1

The Emergence of Semantics in Neural Network Representations of Visual Information

no code implementations • NAACL 2018 • Dhanush Dharmaretnam, Alona Fyshe

Word vector models learn about semantics through corpora.