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17 papers · 1 filter
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever +4
Deep neural networks are highly expressive models that have recently achieved state of the art performance on speech and visual recognition tasks. While their expressiveness is the…
Multi-GPU Training of ConvNets
Omry Yadan, Keith Adams, Yaniv Taigman +1
In this work we evaluate different approaches to parallelize computation of convolutional neural networks across several GPUs.
Onboarding in Open Source Software Projects: A Preliminary Analysis
Fabian Fagerholm, Patrik Johnson, Alejandro Sánchez Guinea +2
Nowadays, many software projects are partially or completely open-source based. There is an increasing need for companies to participate in open-source software (OSS) projects, e.g…
PANDA: Pose Aligned Networks for Deep Attribute Modeling
Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato +2
We propose a method for inferring human attributes (such as gender, hair style, clothes style, expression, action) from images of people under large variation of viewpoint, pose, a…
Blind Deconvolution with Non-local Sparsity Reweighting
Dilip Krishnan, Joan Bruna, Rob Fergus
Blind deconvolution has made significant progress in the past decade. Most successful algorithms are classified either as Variational or Maximum a-Posteriori (). In spite of t…
Romantic Partnerships and the Dispersion of Social Ties: A Network Analysis of Relationship Status on Facebook
Lars Backstrom, Jon Kleinberg
A crucial task in the analysis of on-line social-networking systems is to identify important people --- those linked by strong social ties --- within an individual's network neighb…