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Neural networks
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#	Item
351	Exploring the Limits of Language Modeling arXiv:1602.02410v2 [cs.CL] 11 Feb 2016 Rafal Jozefowicz Oriol Vinyals Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-02-14 20:03:03 Artificial neural networks Artificial intelligence Computational neuroscience Applied mathematics Machine learning Language modeling Computational linguistics Deep learning Recurrent neural network Word embedding Speech recognition Long short-term memory
352	23rd European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, AprilDepth and Height Aware Semantic RGB-D Perception with Convolutional Neural Networks Hannes Schulz, Nico H¨ oft, and Sven Behnk Add to Reading List Source URL: www.ais.uni-bonn.de Language: English - Date: 2015-02-24 15:40:22 Computational neuroscience Computer vision Artificial neural networks Cybernetics Applied mathematics Convolutional neural network Neuroscience Image processing Image segmentation RGB color model Deep learning
353	Sparse Models of Natural Language Text Dani Yogatama CMU-LTILanguage Technologies Institute School of Computer Science Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2015-08-18 01:45:01 Artificial intelligence Statistics Machine learning Learning Computational neuroscience Artificial neural networks Lasso Word embedding Language model Structured sparsity regularization Matrix regularization
354	2nd Student Workshop on Ecology and Optics of Coastal Zones, 2016 Kaliningrad, Russia, 19-23 JulyCLUSTER-BASED APPROACH TO THE SOLUTION OF THE INVERSE Add to Reading List Source URL: www.earsel.org Language: English - Date: 2016-06-28 13:11:01 Chemistry Statistics Applied mathematics Artificial neural networks Computational neuroscience Raman scattering Mathematical psychology Self-organizing map Chemometrics Raman spectroscopy Salt Inverse problem
355	Minimum trajectory error training for deep neural networks, combined with stacked bottleneck features Zhizheng Wu Simon King Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English Computational linguistics Humancomputer interaction Machine learning Artificial intelligence Speech recognition Speech synthesis Recurrent neural network Artificial neural network Acoustic model Digital News Network Hidden Markov model
356	LOCOCODE PERFORMS NONLINEAR ICA WITHOUT KNOWING THE NUMBER OF SOURCES Sepp Hochreiter Jurgen Schmidhuber Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:21:28 Statistics Artificial neural networks Multivariate statistics Applied mathematics Signal processing Machine learning Computational neuroscience Computational statistics Independent component analysis Factorial code Sepp Hochreiter Backpropagation
357	Workshop track - ICLRU NDERSTANDING VERY DEEP NETWORKS VIA VOLUME CONSERVATION Thomas Unterthiner & Sepp Hochreiter Institute of Bioinformatics Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2016-04-06 05:13:16 Artificial neural networks Applied mathematics Cybernetics Artificial intelligence Deep learning Vanishing gradient problem Recurrent neural network Long short-term memory Rectifier Sepp Hochreiter Activation function Feature learning
358	That’s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets ∗ William Yang Wang and Diyi Yang Language Techn Add to Reading List Source URL: www.emnlp2015.org Language: English - Date: 2015-12-05 04:39:08 Software Computing Linguistics Computational linguistics Artificial neural networks Cognitive science Applied linguistics Semantics Twitter Word2vec Word embedding Machine translation
359	arXiv:1607.05695v3 [cs.CV] 2 AugFusionNet: 3D Object Classification Using Multiple Data Representations Vishakh Hegde Stanford and Matroid Add to Reading List Source URL: matroid.com Language: English - Date: 2016-08-06 03:04:23 Computational neuroscience 3D computer graphics Imaging Artificial neural networks Cybernetics Neuroscience Visual effects Computer vision Convolutional neural network Deep learning Receptive field 3D modeling

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