Joseph Paul Cohen

(sciscore: 1.136)



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.

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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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Deep Generative Adversarial Compression Artifact Removal
Leonardo Galteri and Lorenzo Seidenari and Marco Bertini and Alberto Del Bimbo
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV

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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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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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Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud and Dougal Maclaurin and Jorge Aguilera-Iparraguirre and Rafael Gómez-Bombarelli and Timothy Hirzel and Alán Aspuru-Guzik and Ryan P. Adams
arXiv e-Print archive - 2015 via Local arXiv
Keywords: cs.LG, cs.NE, stat.ML

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Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach
Timnit Gebru and Judy Hoffman and Li Fei-Fei
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV

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Towards Context-aware Interaction Recognition
Bohan Zhuang and Lingqiao Liu and Chunhua Shen and Ian Reid
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV

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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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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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Deep MR to CT Synthesis using Unpaired Data
Jelmer M. Wolterink and Anna M. Dinkla and Mark H. F. Savenije and Peter R. Seevinck and Cornelis A. T. van den Berg and Ivana Isgum
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV

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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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Language Modeling with Gated Convolutional Networks
Yann N. Dauphin and Angela Fan and Michael Auli and David Grangier
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CL

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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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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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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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The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
Simon Jégou and Michal Drozdzal and David Vazquez and Adriana Romero and Yoshua Bengio
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CV

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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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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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