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#	Item
571	DeepStealth: Leveraging Deep Learning Models for Stealth Assessment in Game-based Learning Environments Wookhee Min, Megan H. Frankosky, Bradford W. Mott, Jonathan P. Rowe, Eric Wiebe, Kristy Elizabeth Boyer, and James C Add to Reading List Source URL: www.intellimedia.ncsu.edu - Date: 2015-03-30 11:31:18
572	When Are Tree Structures Necessary for Deep Learning of Representations? Jiwei Li1 , Minh-Thang Luong1 , Dan Jurafsky1 and Eduard Hovy2 Computer Science Department, Stanford University, Stanford, CALanguage Tech Add to Reading List Source URL: www.aclweb.org - Date: 2015-09-09 11:14:09
573	H elical piles are factory-manufactured steel deep foundation elements used to penetrate weaker or otherwise unsuitable near-surface material for endbearing within deep competent soils. The most common Add to Reading List Source URL: images.thrashercommercialfoundations.com - Date: 2016-02-25 17:30:40
574	Dueling Network Architectures for Deep Reinforcement Learning Ziyu Wang Tom Schaul Matteo Hessel Hado van Hasselt Add to Reading List Source URL: jmlr.org - Date: 2016-10-08 19:36:41
575	2013 IEEE Conference on Computer Vision and Pattern Recognition Deep Convolutional Network Cascade for Facial Point Detection Yi Sun1 1 Add to Reading List Source URL: www.cv-foundation.org - Date: 2013-06-08 15:23:30
576	An Isabelle Formalization of the Expressiveness of Deep Learning (Extended Abstract) Alexander Bentkamp1 , Jasmin Christian Blanchette23 , and Dietrich Klakow4 1 Add to Reading List Source URL: people.mpi-inf.mpg.de - Date: 2016-11-29 05:17:21
577	Deep Residual Learning for Image Recognition Kaiming He Xiangyu Zhang Shaoqing Ren Microsoft Research Add to Reading List Source URL: arxiv.org - Date: 2015-12-10 20:13:45
578	News at a Glance - Resourcing Future Generations: Second Call for Proposals - The Publication of Episodes is moving! - Report on the 14th workshop on “Deep Processes and Metallogeny in Northerncentral-Southern Asia” Add to Reading List Source URL: iugs.org - Date: 2016-12-01 13:17:56
579	End-to-End Training of Deep Visuomotor Policies Sergey Levine* , Chelsea Finn* , Trevor Darrell, Pieter Abbeel Abstract—Policy search methods can allow robots to automatically learn control policies for a wide range of Add to Reading List Source URL: rll.berkeley.edu - Date: 2015-06-18 21:24:45
580	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition arXiv:1310.1531v1 [cs.CV] 6 OctJeff Donahue∗ , Yangqing Jia∗ , Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell Add to Reading List Source URL: arxiv.org - Date: 2013-10-07 20:25:05

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