<--- Back to Details
First PageDocument Content
Software engineering / Computer programming / Computing / Artificial neural network / Computational neuroscience / Market research / Market segmentation / Mathematical psychology / Autoencoder / Feature learning / Logic programming / Prolog
Date: 2018-08-06 06:17:49
Software engineering
Computer programming
Computing
Artificial neural network
Computational neuroscience
Market research
Market segmentation
Mathematical psychology
Autoencoder
Feature learning
Logic programming
Prolog

Auto-encoding Logic Programs Sebastijan Dumanˇci´c 1 Tias Guns 2 Wannes Meert 1 Hendrik Blockleel 1 1. Introduction Although deep learning (Goodfellow et al., 2016) has

Add to Reading List

Source URL: uclmr.github.io

Download Document from Source Website

File Size: 150,84 KB

Share Document on Facebook

Similar Documents

Syntax-Directed Variational Autoencoder for Molecule Generation Hanjun Dai1* , Yingtao Tian2* , Bo Dai1 , Steven Skiena2 , Le Song1 1 College of Computing, Georgia Institute of Technology 2

Syntax-Directed Variational Autoencoder for Molecule Generation Hanjun Dai1* , Yingtao Tian2* , Bo Dai1 , Steven Skiena2 , Le Song1 1 College of Computing, Georgia Institute of Technology 2

DocID: 1vlR1 - View Document

Semi-Supervised Recursive Autoencoder  Si Chen and Yufei Wang Department of Electrical and Computer Engineering University of California San Diego {sic046, yuw176}@ucsd.edu

Semi-Supervised Recursive Autoencoder Si Chen and Yufei Wang Department of Electrical and Computer Engineering University of California San Diego {sic046, yuw176}@ucsd.edu

DocID: 1v727 - View Document

An Autoencoder Approach to Learning Bilingual Word Representations Sarath Chandar A P1 ∗ , Stanislas Lauly2 ∗ , Hugo Larochelle2 , Mitesh M Khapra3 , Balaraman Ravindran1 , Vikas Raykar3 , Amrita Saha3 1

An Autoencoder Approach to Learning Bilingual Word Representations Sarath Chandar A P1 ∗ , Stanislas Lauly2 ∗ , Hugo Larochelle2 , Mitesh M Khapra3 , Balaraman Ravindran1 , Vikas Raykar3 , Amrita Saha3 1

DocID: 1v23p - View Document

On Nonparametric Guidance for Learning Autoencoder Representations Jasper Snoek University of Toronto

On Nonparametric Guidance for Learning Autoencoder Representations Jasper Snoek University of Toronto

DocID: 1uwmD - View Document

arXiv:1610.00291v1 [cs.CV] 2 OctDeep Feature Consistent Variational Autoencoder Xianxu Hou University of Nottingham, Ningbo China

arXiv:1610.00291v1 [cs.CV] 2 OctDeep Feature Consistent Variational Autoencoder Xianxu Hou University of Nottingham, Ningbo China

DocID: 1tDNC - View Document