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03/20/2019
Column2Vec: Structural Understanding via Distributed Representations of Database Schemas
We present Column2Vec, a distributed representation of database columns ...
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01/16/2018
A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity
It has been shown that rules can be extracted from highly non-linear, re...
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11/30/2017
Learning to Adapt by Minimizing Discrepancy
We explore whether useful temporal neural generative models can be learn...
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05/17/2017
Learning a Hierarchical Latent-Variable Model of 3D Shapes
We propose the Variational Shape Learner (VSL), a hierarchical latent-va...
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03/26/2017
Learning Simpler Language Models with the Differential State Framework
Learning useful information across long time lags is a critical and diff...
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12/01/2016
Piecewise Latent Variables for Neural Variational Text Processing
Advances in neural variational inference have facilitated the learning o...
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06/03/2016
Using Neural Generative Models to Release Synthetic Twitter Corpora with Reduced Stylometric Identifiability of Users
We present a method for generating synthetic versions of Twitter data us...
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01/26/2016