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06/19/2023
RepoFusion: Training Code Models to Understand Your Repository
Despite the huge success of Large Language Models (LLMs) in coding assis...
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04/06/2023
Approach Intelligent Writing Assistants Usability with Seven Stages of Action
Despite the potential of Large Language Models (LLMs) as writing assista...
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06/26/2022
Repository-Level Prompt Generation for Large Language Models of Code
With the success of large language models (LLMs) of code and their use a...
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06/14/2021
Learning to Combine Per-Example Solutions for Neural Program Synthesis
The goal of program synthesis from examples is to find a computer progra...
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06/02/2021
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages
Model-agnostic meta-learning (MAML) has been recently put forth as a str...
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03/26/2020
On-the-Fly Adaptation of Source Code Models using Meta-Learning
The ability to adapt to unseen, local contexts is an important challenge...
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06/09/2019
Transfer Learning by Modeling a Distribution over Policies
Exploration and adaptation to new tasks in a transfer learning setup is ...
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09/03/2018
Hypernyms Through Intra-Article Organization in Wikipedia
We introduce a new measure for unsupervised hypernym detection and direc...
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09/02/2018
Modeling Topical Coherence in Discourse without Supervision
Coherence of text is an important attribute to be measured for both manu...
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08/19/2017
A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark
Training deep networks is expensive and time-consuming with the training...
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07/18/2017