1 Selection Difficulty and Inter-Item Competition are Independent Factors in Rapid Visual Stream Perception Jun-ichiro Kawahara

Source URL: visionlab.psych.sites.olt.ubc.ca

• Attention
• Perception
• Cognition
• Attentional blink
• Target
• Short-term memory
• Rapid serial visual presentation

arXiv:1604.04562v2 [cs.CL] 20 MayA Network-based End-to-End Trainable Task-oriented Dialogue System Tsung-Hsien Wen, David Vandyke, Nikola Mrkši´c, Milica Gaši´c,

Source URL: arxiv.org

• Artificial neural networks
• Computational neuroscience
• Cybernetics
• Computational statistics
• Artificial intelligence
• Recurrent neural network
• Long short-term memory
• Speech recognition
• Convolutional neural network
• Music tracker
• Tracker
• Language model

Change Detection by Persons with Autism — Page 1 Change Detection in Naturalistic Pictures among Children with Autism Jacob A. Burack, 1, 2 Shari Joseph,1 Natalie Russo,1 David I. Shore, 3 Mafalda Porporino, 1 & James

Source URL: visionlab.psych.sites.olt.ubc.ca

• Autism
• Pervasive developmental disorders
• Neurological disorders
• Psychiatric diagnosis
• Change blindness
• Visual search
• Visual short-term memory
• Autism therapies

A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition Liang Lu1 , Xingxing Zhang2 , Kyunghyun Cho3 , and Steve Renals1 1 2

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

• Artificial neural networks
• Computational neuroscience
• Computational linguistics
• Computational statistics
• Artificial intelligence
• Recurrent neural network
• Speech recognition
• Language model
• Long short-term memory
• Neural machine translation
• Feedforward neural network
• Convolutional neural network

A Hierarchical Neural Autoencoder for Paragraphs and Documents Jiwei Li, Minh-Thang Luong and Dan Jurafsky Computer Science Department, Stanford University, Stanford, CA 94305, USA jiweil, lmthang,

Source URL: web.stanford.edu

• Computational linguistics
• Natural language processing
• Artificial neural networks
• Computational neuroscience
• Speech recognition
• Deep learning
• Long short-term memory
• Automatic summarization
• Sepp Hochreiter
• Parsing
• Feature learning
• N-gram

Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder Soroush Vosoughi∗ Prashanth Vijayaraghavan∗

Source URL: socialmachines.media.mit.edu

• Artificial neural networks
• Computational neuroscience
• Deep learning
• Recurrent neural network
• Convolutional neural network
• Long short-term memory
• Tweet
• Artificial intelligence
• Autoencoder
• Convolution
• SemEval

NCSU_SAS_WOOKHEE: A Deep Contextual Long-Short Term Memory Model for Text Normalization Wookhee Min Bradford W. Mott

Source URL: noisy-text.github.io

arXiv:1506.00019v4 [cs.LG] 17 OctA Critical Review of Recurrent Neural Networks for Sequence Learning Zachary C. Lipton

Source URL: arxiv.org

• Artificial neural networks
• Cybernetics
• Applied mathematics
• Machine learning
• Recurrent neural network
• Deep learning
• Long short-term memory
• Feedforward neural network
• Convolutional neural network
• Backpropagation
• Connectionism
• Restricted Boltzmann machine

Code Number: Short Term Memory Test Directions You are about to do a small short term memory test. A few letters will flash on your computer monitor for 3 seconds. Your job is to write down as many letters as you can re

Source URL: www.yerkes.emory.edu

Evolving memory cell structures for sequence learning Justin Bayer, Daan Wierstra, Julian Togelius and J¨ urgen Schmidhuber IDSIA, Galleria 2, 6928 Manno-Lugano, Switzerland {justin, daan, julian, juergen}@idsia.ch

Source URL: people.idsia.ch

• Artificial neural networks
• Machine learning
• Applied mathematics
• Cybernetics
• Long short-term memory
• Recurrent neural network
• Artificial intelligence
• Handwriting recognition
• Feedforward neural network
• Backpropagation through time
• Backpropagation
• Brain