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06/19/2023
Guiding Language Models of Code with Global Context using Monitors
Language models of code (LMs) work well when the surrounding code in the...
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05/23/2023
GrACE: Generation using Associated Code Edits
Developers expend a significant amount of time in editing code for a var...
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01/31/2023
FLAME: A small language model for spreadsheet formulas
The widespread use of spreadsheet environments by billions of users pres...
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12/15/2022
BNSynth: Bounded Boolean Functional Synthesis
The automated synthesis of correct-by-construction Boolean functions fro...
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09/17/2022
Learning to Answer Semantic Queries over Code
During software development, developers need answers to queries about se...
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04/16/2022
A Robust and Scalable Attention Guided Deep Learning Framework for Movement Quality Assessment
Physical rehabilitation programs frequently begin with a brief stay in t...
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12/06/2021
Tele-EvalNet: A Low-cost, Teleconsultation System for Home based Rehabilitation of Stroke Survivors using Multiscale CNN-LSTM Architecture
Technology has an important role to play in the field of Rehabilitation,...
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12/21/2019
Pre-trained Contextual Embedding of Source Code
The source code of a program not only serves as a formal description of ...
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05/28/2019
Deep Learning for Bug-Localization in Student Programs
Providing feedback is an integral part of teaching. Most open online cou...
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05/22/2019
A framework for the extraction of Deep Neural Networks by leveraging public data
Machine learning models trained on confidential datasets are increasingl...
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04/03/2019
Neural Program Repair by Jointly Learning to Localize and Repair
Due to its potential to improve programmer productivity and software qua...
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06/11/2018
Greybox fuzzing as a contextual bandits problem
Greybox fuzzing is one of the most useful and effective techniques for t...
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04/13/2018
Active Learning for Efficient Testing of Student Programs
In this work, we propose an automated method to identify semantic bugs i...
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01/31/2018