research
∙
09/17/2022
Learning to Answer Semantic Queries over Code
During software development, developers need answers to queries about se...
share
research
∙
10/04/2021
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation
The personalized list continuation (PLC) task is to curate the next item...
research
∙
07/19/2019
Neural Cross-Domain Collaborative Filtering with Shared Entities
Cross-Domain Collaborative Filtering (CDCF) provides a way to alleviate ...
research
∙
05/28/2019
Deep Learning for Bug-Localization in Student Programs
Providing feedback is an integral part of teaching. Most open online cou...
research
∙
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...
research
∙
04/13/2018
Active Learning for Efficient Testing of Student Programs
In this work, we propose an automated method to identify semantic bugs i...
research
∙
01/31/2018
Deep Reinforcement Learning for Programming Language Correction
Novice programmers often struggle with the formal syntax of programming ...
research
∙
08/01/2016
Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification
The state-of-the-art CNN models give good performance on sentence classi...
research
∙
01/25/2016
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds
We study the problem of training an accurate linear regression model by ...
research
∙
12/25/2014
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling
Several machine learning problems arising in natural language processing...
research
∙
10/16/2012
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators
We consider the problem of Probably Approximate Correct (PAC) learning o...
research
∙
06/26/2012
