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08/06/2023
Understanding the Effectiveness of Large Language Models in Code Translation
Code translation aims to convert source code from one programming langua...
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12/09/2022
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement
Can we take a recurrent neural network (RNN) trained to translate betwee...
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11/30/2022
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models
In NLP, reusing pre-trained models instead of training from scratch has ...
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12/06/2021
Manas: Mining Software Repositories to Assist AutoML
Today deep learning is widely used for building software. A software eng...
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10/11/2021
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules
Training from scratch is the most common way to build a Convolutional Ne...
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03/02/2021
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis
Forking structure is widespread in the open-source repositories and that...
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05/03/2020
Repairing Deep Neural Networks: Fix Patterns and Challenges
Significant interest in applying Deep Neural Network (DNN) has fueled th...
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06/27/2019
What Do Developers Ask About ML Libraries? A Large-scale Study Using Stack Overflow
Modern software systems are increasingly including machine learning (ML)...
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06/03/2019
A Comprehensive Study on Deep Learning Bug Characteristics
Deep learning has gained substantial popularity in recent years. Develop...
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05/30/2019