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02/20/2023
Learning Deep Semantics for Test Completion
Writing tests is a time-consuming yet essential task during software dev...
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01/24/2023
Language-guided Task Adaptation for Imitation Learning
We introduce a novel setting, wherein an agent needs to learn a task fro...
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11/11/2022
Using Developer Discussions to Guide Fixing Bugs in Software
Automatically fixing software bugs is a challenging task. While recent w...
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11/03/2022
Zero-shot Video Moment Retrieval With Off-the-Shelf Models
For the majority of the machine learning community, the expensive nature...
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10/18/2022
Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering
Most Outside-Knowledge Visual Question Answering (OK-VQA) systems employ...
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10/10/2022
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks
Demonstrations and natural language instructions are two common ways to ...
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01/13/2022
Towards Automated Error Analysis: Learning to Characterize Errors
Characterizing the patterns of errors that a system makes helps research...
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10/08/2021
Learning to Describe Solutions for Bug Reports Based on Developer Discussions
When a software bug is reported, developers engage in a discussion to co...
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08/22/2021
Evaluation Methodologies for Code Learning Tasks
There has been a growing interest in developing machine learning (ML) mo...
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06/05/2021
Zero-shot Task Adaptation using Natural Language
Imitation learning and instruction-following are two common approaches t...
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03/24/2021
Learning to Generate Code Comments from Class Hierarchies
Descriptive code comments are essential for supporting code comprehensio...
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10/04/2020
Deep Just-In-Time Inconsistency Detection Between Comments and Source Code
Natural language comments convey key aspects of source code such as impl...
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09/11/2020
Systematic Generalization on gSCAN with Language Conditioned Embedding
Systematic Generalization refers to a learning algorithm's ability to ex...
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07/30/2020
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards
Reinforcement learning (RL), particularly in sparse reward settings, oft...
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06/28/2020
Improving VQA and its Explanations by Comparing Competing Explanations
Most recent state-of-the-art Visual Question Answering (VQA) systems are...
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06/26/2020
Dialog as a Vehicle for Lifelong Learning
Dialog systems research has primarily been focused around two main types...
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06/09/2020
Dialog Policy Learning for Joint Clarification and Active Learning Queries
Intelligent systems need to be able to recover from mistakes, resolve un...
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04/25/2020
Learning to Update Natural Language Comments Based on Code Changes
We formulate the novel task of automatically updating an existing natura...
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12/13/2019
Associating Natural Language Comment and Source Code Entities
Comments are an integral part of software development; they are natural ...
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10/31/2019
Hidden State Guidance: Improving Image Captioning using An Image Conditioned Autoencoder
Most RNN-based image captioning models receive supervision on the output...
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06/03/2019
Generating Question Relevant Captions to Aid Visual Question Answering
Visual question answering (VQA) and image captioning require a shared bo...
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05/31/2019
Do Human Rationales Improve Machine Explanations?
Work on "learning with rationales" shows that humans providing explanati...
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05/24/2019
Self-Critical Reasoning for Robust Visual Question Answering
Visual Question Answering (VQA) deep-learning systems tend to capture su...
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03/05/2019
Using Natural Language for Reward Shaping in Reinforcement Learning
Recent reinforcement learning (RL) approaches have shown strong performa...
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03/01/2019
Improving Grounded Natural Language Understanding through Human-Robot Dialog
Natural language understanding for robotics can require substantial doma...
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09/08/2018
Faithful Multimodal Explanation for Visual Question Answering
AI systems' ability to explain their reasoning is critical to their util...
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08/29/2018
Learning a Policy for Opportunistic Active Learning
Active learning identifies data points to label that are expected to be ...
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08/06/2018
Executable Trigger-Action Comments
Natural language elements, e.g., todo comments, are frequently used to c...
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05/22/2018
Joint Image Captioning and Question Answering
Answering visual questions need acquire daily common knowledge and model...
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09/07/2017
Leveraging Discourse Information Effectively for Authorship Attribution
We explore techniques to maximize the effectiveness of discourse informa...
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05/27/2016
Stacking With Auxiliary Features
Ensembling methods are well known for improving prediction accuracy. How...
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04/16/2016
Supervised and Unsupervised Ensembling for Knowledge Base Population
We present results on combining supervised and unsupervised methods to e...
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04/11/2016