Aditya Kanade | DeepAI

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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...

0 Lakshya A Agrawal, et al. ∙

∙ 05/23/2023

GrACE: Generation using Associated Code Edits

Developers expend a significant amount of time in editing code for a var...

0 Priyanshu Gupta, et al. ∙

∙ 01/31/2023

FLAME: A small language model for spreadsheet formulas

The widespread use of spreadsheet environments by billions of users pres...

0 Harshit Joshi, et al. ∙

∙ 12/15/2022

BNSynth: Bounded Boolean Functional Synthesis

The automated synthesis of correct-by-construction Boolean functions fro...

0 Ravi Raja, et al. ∙

∙ 09/17/2022

Learning to Answer Semantic Queries over Code

During software development, developers need answers to queries about se...

0 Surya Prakash Sahu, et al. ∙

∙ 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...

0 Aditya Kanade, et al. ∙

∙ 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,...

0 Aditya Kanade, et al. ∙

∙ 12/21/2019

Pre-trained Contextual Embedding of Source Code

The source code of a program not only serves as a formal description of ...

0 Aditya Kanade, et al. ∙

∙ 05/28/2019

Deep Learning for Bug-Localization in Student Programs

Providing feedback is an integral part of teaching. Most open online cou...

0 Rahul Gupta, et al. ∙

∙ 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...

0 Soham Pal, et al. ∙

∙ 04/03/2019

Neural Program Repair by Jointly Learning to Localize and Repair

Due to its potential to improve programmer productivity and software qua...

0 Marko Vasic, et al. ∙

∙ 06/11/2018

Greybox fuzzing as a contextual bandits problem

Greybox fuzzing is one of the most useful and effective techniques for t...

0 Ketan Patil, et al. ∙

∙ 04/13/2018

Active Learning for Efficient Testing of Student Programs

In this work, we propose an automated method to identify semantic bugs i...

0 Ishan Rastogi, et al. ∙

∙ 01/31/2018

Deep Reinforcement Learning for Programming Language Correction

Novice programmers often struggle with the formal syntax of programming ...

0 Rahul Gupta, et al. ∙

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