Going Deeper with Convolutions Christian Szegedy1 , Wei Liu2 , Yangqing Jia1 , Pierre Sermanet1 , Scott Reed3 , Dragomir Anguelov1 , Dumitru Erhan1 , Vincent Vanhoucke1 , Andrew Rabinovich4 1 Google Inc. 2 University of

Source URL: www.cs.unc.edu

• Artificial neural networks
• Computational neuroscience
• Artificial intelligence
• Computer vision
• Convolutional neural network
• Deep learning
• Machine learning
• MNIST database
• Vanishing gradient problem
• Receptive field
• Network architecture
• OSI model

Harmonic Resonance Theory Harmonic Resonance Theory: An Alternative to the "Neuron Doctrine" Paradigm of Neurocomputation to Address Gestalt properties of perception

Source URL: cns-alumni.bu.edu

• Neuroscience
• Nervous system
• Cognitive science
• Perception
• Sensory systems
• Cognition
• Neural networks
• Biological neural network
• Gestalt psychology
• Visual cortex
• Binding problem
• Receptive field

ADVANCES IN OPTIMIZING RECURRENT NETWORKS Yoshua Bengio, Nicolas Boulanger-Lewandowski and Razvan Pascanu arXiv:1212.0901v2 [cs.LG] 14 DecU. Montreal

Source URL: arxiv.org

• Artificial neural networks
• Applied mathematics
• Machine learning
• Cybernetics
• Recurrent neural network
• Deep learning
• Long short-term memory
• Stochastic gradient descent
• Convolutional neural network
• Rectifier
• Backpropagation
• Gradient descent

A Lyapunov Based Stable Online Learning Algorithm For Nonlinear Dynamical Systems Using Extreme Learning Machines Vijay Manikandan Janakiraman∗ , XuanLong Nguyen† , Dennis Assanis‡ ∗ Department of Mechanical Eng

Source URL: dept.stat.lsa.umich.edu

• Control theory
• Dynamical systems
• Dimension reduction
• Mathematical optimization
• Statistical classification
• Nonlinear system identification
• Principal component analysis
• Recursive least squares filter
• Adaptive control
• Support vector machine
• Artificial neural network
• Lyapunov stability

Workshop track - ICLRF EED -F ORWARD N ETWORKS WITH ATTENTION C AN S OLVE S OME L ONG -T ERM M EMORY P ROBLEMS Daniel P. W. Ellis LabROSA, Columbia University

Source URL: colinraffel.com

• Artificial neural networks
• Computational neuroscience
• Artificial intelligence
• Computational statistics
• Deep learning
• Recurrent neural network
• Speech recognition
• Sepp Hochreiter
• Long short-term memory
• Yoshua Bengio
• Backpropagation through time
• Memory

Volume 6, Issue 1 ■ Q1 ■ JAN2016

Source URL: www.defenseinnovationmarketplace.mil

• Computational neuroscience
• Cybernetics
• Artificial intelligence
• Applications of artificial intelligence
• Ambient intelligence
• Artificial neural network
• Neuromorphic engineering
• Machine learning

Microsoft Word - IJCNN12.docx

Source URL: www.inns.org

• Psychologists
• Ron Sun
• Robert Kozma
• Stephen Grossberg
• Jacek M. Zurada
• Institute of Electrical and Electronics Engineers
• Artificial neural network

Programming with “Big Code”: Lessons, Techniques and Applications Pavol Bielik1 , Veselin Raychev1 , and Martin Vechev1 1 Department of Computer Science, ETH Zurich, Switzerland

Source URL: www.srl.inf.ethz.ch

• Computing
• Artificial intelligence
• Machine learning
• Graphical models
• Structured prediction
• Computational statistics
• Statistical classification
• Conditional random field
• Probabilistic programming language
• Inference
• Artificial neural network
• Support vector machine

Topmoumoute online natural gradient algorithm Nicolas Le Roux University of Montreal Pierre-Antoine Manzagol

Source URL: nicolas.le-roux.name

• Mathematics
• Numerical analysis
• Algebra
• Computational statistics
• Stochastic optimization
• Linear filters
• Numerical linear algebra
• Convex optimization
• Stochastic gradient descent
• Gradient descent
• Artificial neural network
• Mathematical optimization

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Sequence Summarizing Neural Network for Speaker Adaptation Vesely, K.; Watanabe, S.; Zmolikova, K.; Karafiat, M.; Burget, L.; Cernocky, J.H.

Source URL: www.merl.com