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Deep learning
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#	Item
361	Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships Mohit Iyyer,1 Anupam Guha,1 Snigdha Chaturvedi,1 Jordan Boyd-Graber,2 Hal Daum´e III1 1 University of Maryland, Department o Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2016-04-02 18:49:57 Feature detection Formal sciences Artificial neural networks Deep learning Topic model Word embedding Feature Statistics
362	Learning to Compose Neural Networks for Question Answering Jacob Andreas and Marcus Rohrbach and Trevor Darrell and Dan Klein Department of Electrical Engineering and Computer Sciences University of California, Berkeley Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-01-10 20:26:11 Computational neuroscience Artificial neural networks Artificial intelligence Computational linguistics Question answering Recursive neural network Modularity Deep learning
363	AUTOMATIC DRUM TRANSCRIPTION USING BI-DIRECTIONAL RECURRENT NEURAL NETWORKS Carl Southall, Ryan Stables, Jason Hockman Digital Media Technology Laboratory (DMT Lab) Birmingham City University Birmingham, United Kingdom Add to Reading List Source URL: wp.nyu.edu Language: English - Date: 2016-08-16 16:20:28 Artificial neural networks Recurrent neural network Deep learning Long short-term memory Groove Drum kit International Society for Music Information Retrieval Random neural network
364	LSTM CAN SOLVE HARD LONG TIME LAG PROBLEMS Sepp Hochreiter Fakultat fur Informatik Technische Universitat Munchen Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:12:00 Artificial neural networks Long short-term memory Recurrent neural network Sepp Hochreiter Backpropagation Artificial intelligence Pattern recognition Time delay neural network Computer Deep learning Types of artificial neural networks
365	A Deep Interpretation of Classifier Chains Jesse Read and Jaakko Hollm´en Aalto University, Department of Information and Computer Science PO Box 15400, FIAalto, Espoo, Finland Helsinki Institute for Information Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2014-11-05 06:37:40 Classifier chains Machine learning Multi-label classification Lookup table Deep learning Probabilistic classification Supervised learning
366	Sensor Substitution for Video-based Action Recognition Christian Rupprecht∗,1,2 , Colin Lea∗,2 Federico Tombari1,3 , Nassir Navab1,2 , Gregory D. Hager2 Abstract— There are many applications where domainspecific se Add to Reading List Source URL: campar.in.tum.de Language: English - Date: 2016-03-04 11:42:56 Computational neuroscience Artificial neural networks Computer vision Convolutional neural network Deep learning Conditional random field Robotics Activity recognition Optical flow Cellular neural network
367	A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks ¨ Felix Grun Technische Universit¨at M¨unchen, Germany Add to Reading List Source URL: campar.in.tum.de Language: English - Date: 2016-06-23 05:02:01 Artificial neural networks Computational neuroscience Convolutional neural network Backpropagation Artificial intelligence Autoencoder Biological neural network Deep learning Vanishing gradient problem
368	Postdoctoral Position on Deep Learning for Neuroimaging Applications are invited for a postdoctoral position in the ANSIR Lab , University of Texas Southwestern Medical Center, Dallas, TX USA in the area of deep learning Add to Reading List Source URL: www.utsouthwestern.edu Language: English - Date: 2016-07-15 16:32:07 University of Texas Southwestern Medical Center V-12 Navy College Training Program Deep learning Neuroscience Neuroimaging Machine learning
369	Learning with Marginalized Corrupted Features Laurens van der Maaten Delft University of Technology, Mekelweg 4, 2628 CD Delft, THE NETHERLANDS Minmin Chen Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Statistical classification Probability distributions Exponentials Machine learning Linear classifier Pattern recognition Support vector machine Deep learning Natural exponential family Poisson distribution Normal distribution Loss function
370	ADIEU FEATURES? END-TO-END SPEECH EMOTION RECOGNITION USING A DEEP CONVOLUTIONAL RECURRENT NETWORK George Trigeorgis1 , Fabien Ringeval2,3 , Raymond Brueckner3,4 , Erik Marchi3 Mihalis A. Nicolaou5 , Björn Schuller1,2,6 Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2016-01-23 15:42:05 Artificial neural networks Computational neuroscience Computational linguistics Cybernetics Computational statistics Deep learning Speech recognition Recurrent neural network Convolutional neural network Long short-term memory Acoustic model Affective computing

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