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05/22/2023
Neural Machine Translation for Code Generation
Neural machine translation (NMT) methods developed for natural language ...
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10/30/2022
Validity Assessment of Legal Will Statements as Natural Language Inference
This work introduces a natural language inference (NLI) dataset that foc...
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06/17/2022
Texture Generation Using Graph Generative Adversarial Network And Differentiable Rendering
Novel texture synthesis for existing 3D mesh models is an important step...
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05/30/2022
Learning Open Domain Multi-hop Search Using Reinforcement Learning
We propose a method to teach an automated agent to learn how to search f...
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12/17/2021
Neural Architectures for Biological Inter-Sentence Relation Extraction
We introduce a family of deep-learning architectures for inter-sentence ...
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09/01/2021
Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning
We describe federated reconnaissance, a class of learning problems in wh...
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01/21/2020
AutoMATES: Automated Model Assembly from Text, Equations, and Software
Models of complicated systems can be represented in different ways - in ...
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12/13/2019
Meta-Learning Initializations for Image Segmentation
While meta-learning approaches that utilize neural network representatio...
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12/14/2018
Inter-sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts
We present an analysis of the problem of identifying biological context ...
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02/08/2018
WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-Hop Inference
Developing methods of automated inference that are able to provide users...
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09/07/2017
Composition by Conversation
Most musical programming languages are developed purely for coding virtu...
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09/01/2017
Learning what to read: Focused machine reading
Recent efforts in bioinformatics have achieved tremendous progress in th...
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07/21/2017
An Infinite Hidden Markov Model With Similarity-Biased Transitions
We describe a generalization of the Hierarchical Dirichlet Process Hidde...
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04/24/2016
