Joseph Paul Cohen

sciscore: 1.381



Joseph Paul Cohen holds a Ph.D Degree in Computer Science and Machine Learning from the University of Massachusetts Boston. His research interests include machine learning, computer vision, ad-hoc networking, and cyber security. Joseph received a U.S. National Science Foundation Graduate Fellowship in 2013 as well as COSPAR’s Outstanding Paper Award for Young Scientists in the same year. Joseph is the creator of blucat; the cross-platform Bluetooth debugging tool. He is the founder of the Institute for Reproducible Research which produces Academic Torrents; a system designed to move large datasets and become the library of the future. He is also the creator of BlindTool; a mobile application providing a sense of vision to the blind by using an artificial neural network that speaks names of objects as they are identified. He has worked in industry for small startups, large corporations, government research labs, educational museums, as well as been involved in projects sponsored by NASA and the DOE.

Summary by Joseph Paul Cohen 5 months ago
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Understanding deep learning requires rethinking generalization
Chiyuan Zhang and Samy Bengio and Moritz Hardt and Benjamin Recht and Oriol Vinyals
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG

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Summary by Joseph Paul Cohen 6 months ago
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Rotation equivariant vector field networks
Diego Marcos and Michele Volpi and Nikos Komodakis and Devis Tuia
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CV

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Summary by Joseph Paul Cohen 6 months ago
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Introspective Generative Modeling: Decide Discriminatively
Justin Lazarow and Long Jin and Zhuowen Tu
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV, cs.LG, cs.NE

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Summary by Joseph Paul Cohen 6 months ago
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Summary by Joseph Paul Cohen 6 months ago
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Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery
Wenwen Min and Juan Liu and Shihua Zhang
arXiv e-Print archive - 2016 via Local arXiv
Keywords: q-bio.GN, cs.LG, stat.ML, J.3; H.2.8; G.1.6; I.5

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Summary by Joseph Paul Cohen 8 months ago
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Summary by Joseph Paul Cohen 8 months ago
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Summary by Joseph Paul Cohen 8 months ago
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Squeeze-and-Excitation Networks
Jie Hu and Li Shen and Gang Sun
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV

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Summary by Joseph Paul Cohen 8 months ago
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Summary by Joseph Paul Cohen 8 months ago
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Summary by Joseph Paul Cohen 8 months ago
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Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola and Jun-Yan Zhu and Tinghui Zhou and Alexei A. Efros
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CV

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Summary by Joseph Paul Cohen 8 months ago
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Summary by Joseph Paul Cohen 8 months ago
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On orthogonality and learning recurrent networks with long term dependencies
Eugene Vorontsov and Chiheb Trabelsi and Samuel Kadoury and Chris Pal
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.NE

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Summary by Joseph Paul Cohen 9 months ago
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Summary by Joseph Paul Cohen 9 months ago
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Self-Normalizing Neural Networks
Günter Klambauer and Thomas Unterthiner and Andreas Mayr and Sepp Hochreiter
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Joseph Paul Cohen 11 months ago
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Summary by Joseph Paul Cohen 1 year ago
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Summary by Joseph Paul Cohen 1 year ago
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Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin and Victor Lempitsky
arXiv e-Print archive - 2014 via Local arXiv
Keywords: stat.ML, cs.LG, cs.NE

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Summary by Joseph Paul Cohen 1 year ago
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End-to-End Instance Segmentation and Counting with Recurrent Attention
Mengye Ren and Richard S. Zemel
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, cs.CV

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Summary by Joseph Paul Cohen 1 year ago
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Hypercolumns for Object Segmentation and Fine-grained Localization
Bharath Hariharan and Pablo Arbeláez and Ross Girshick and Jitendra Malik
arXiv e-Print archive - 2014 via Local arXiv
Keywords: cs.CV

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Summary by Joseph Paul Cohen 1 year ago
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Summary by Joseph Paul Cohen 1 year ago
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Summary by Joseph Paul Cohen 2 years ago
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