LEARNING TEMPORAL FEATURES USING A DEEP NEURAL NETWORK AND ITS APPLICATION TO MUSIC GENRE CLASSIFICATION Il-Young Jeong and Kyogu Lee Music and Audio Research Group Graduate School of Convergence Science and Technology,

Source URL: wp.nyu.edu

• Times Celebex
• California locations by race

A study of speaker adaptation for DNN-based speech synthesis Zhizheng Wu Pawel Swietojanski Christophe Veaux Steve Renals

Source URL: homepages.inf.ed.ac.uk

• Automatic identification and data capture
• Computational linguistics
• Computer accessibility
• Speech recognition
• Markov models
• Speech synthesis
• Speaker recognition
• Artificial neural network
• Hidden Markov model
• Vector
• Deep learning

DEEP LEARNING FOR TRADING 35::::38.7

Source URL: fpq.io

• Machine learning
• Computational neuroscience
• Cybernetics
• Artificial neural networks
• Perceptron
• Deep learning
• Overfitting
• Supervised learning
• Artificial intelligence

A Convolutional Neural Network for Modelling Sentences Nal Kalchbrenner Edward Grefenstette Phil Blunsom

Source URL: arxiv.org

• Artificial neural networks
• Computational neuroscience
• Convolutional neural network
• Time delay neural network
• Language model
• Convolution
• Recurrent neural network
• Word embedding
• Recursive neural network
• Connectionism
• Yann LeCun
• Deep learning

Machine Learning and Privacy: Friends or Foes? ---------------------------------------------Vitaly Shmatikov (Cornell Tech) Machine learning is eating the world. Modern machine learning methods, especially deep learning

Source URL: tpdp16.cse.buffalo.edu

The Accelerated Road to Exascale Dale Southard, MVAPICH User Group Meeting 2015 The Future is Big 2

Source URL: mug.mvapich.cse.ohio-state.edu

• Cybernetics
• Computational neuroscience
• GPGPU
• Graphics hardware
• Emerging technologies
• Deep learning
• Graphics processing unit
• Machine learning
• Artificial neural network
• Google
• Artificial intelligence
• Speech recognition

Recurrent Neural Net Learning and Vanishing Gradient International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 6(2):107{116, 1998 Sepp Hochreiter Institut fur Informatik

Source URL: www.bioinf.jku.at

• Artificial neural networks
• Recurrent neural network
• Long short-term memory
• Vanishing gradient problem
• Sepp Hochreiter
• Backpropagation through time
• Backpropagation
• Artificial intelligence
• Artificial neuron
• Time delay neural network
• Deep learning
• Types of artificial neural networks

Structural-RNN: Deep Learning on Spatio-Temporal Graphs Ashesh Jain1,2 , Amir R. Zamir2 , Silvio Savarese2 , and Ashutosh Saxena3 Deep Recurrent Neural Network architectures, though remarkably capable at modeling sequenc

Source URL: cvgl.stanford.edu

• Artificial neural networks
• Graph theory
• Artificial intelligence
• Recurrent neural network
• Computational neuroscience
• Computational statistics
• Deep learning
• Long short-term memory
• Connectivity
• Graphical model
• Graph
• Directed graph

Published as a conference paper at ICLRV ERY D EEP C ONVOLUTIONAL N ETWORKS FOR L ARGE -S CALE I MAGE R ECOGNITION arXiv:1409.1556v6 [cs.CV] 10 Apr 2015

Source URL: arxiv.org

• Computational neuroscience
• Artificial neural networks
• Computer vision
• Convolutional neural network
• Artificial intelligence
• Deep learning

Leveraging Social Context for Modeling Topic Evolution Janani Kalyanam Amin Mantrach Univ. of California, San Diego

Source URL: acsweb.ucsd.edu

• Statistical natural language processing
• Hashtag
• Latent Dirichlet allocation
• Topic model
• Dynamic topic model
• Twitter
• Probabilistic latent semantic analysis
• Deep learning
• Non-negative matrix factorization
• Topic and comment