Joseph Paul Cohen

sciscore: 1.569



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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Fast Model Editing at Scale
Eric Mitchell and Charles Lin and Antoine Bosselut and Chelsea Finn and Christopher D. Manning
arXiv e-Print archive - 2021 via Local arXiv
Keywords: cs.LG, cs.AI, cs.CL

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Summary by Joseph Paul Cohen 1 month ago
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Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
Joseph Paul Cohen and Rupert Brooks and Sovann En and Evan Zucker and Anuj Pareek and Matthew P. Lungren and Akshay Chaudhari
arXiv e-Print archive - 2021 via Local arXiv
Keywords: cs.CV, cs.AI, eess.IV

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Summary by Joseph Paul Cohen 2 years ago
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Unsupervised Learning via Meta-Learning
Kyle Hsu and Sergey Levine and Chelsea Finn
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, cs.CV, stat.ML

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Summary by Joseph Paul Cohen 4 years ago
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Summary by Joseph Paul Cohen 4 years ago
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A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio and Tristan Deleu and Nasim Rahaman and Rosemary Ke and Sébastien Lachapelle and Olexa Bilaniuk and Anirudh Goyal and Christopher Pal
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Joseph Paul Cohen 4 years ago
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Systematic Generalization: What Is Required and Can It Be Learned?
Dzmitry Bahdanau and Shikhar Murty and Michael Noukhovitch and Thien Huu Nguyen and Harm de Vries and Aaron Courville
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CL, cs.AI

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Summary by Joseph Paul Cohen 4 years ago
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Effective Ways to Build and Evaluate Individual Survival Distributions
Humza Haider and Bret Hoehn and Sarah Davis and Russell Greiner
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Joseph Paul Cohen 4 years ago
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Summary by Joseph Paul Cohen 5 years ago
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Multi-layer Representation Learning for Medical Concepts
Edward Choi and Mohammad Taha Bahadori and Elizabeth Searles and Catherine Coffey and Jimeng Sun
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG

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Summary by Joseph Paul Cohen 5 years ago
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A Comparison of Word Embeddings for the Biomedical Natural Language Processing
Yanshan Wang and Sijia Liu and Naveed Afzal and Majid Rastegar-Mojarad and Liwei Wang and Feichen Shen and Paul Kingsbury and Hongfang Liu
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.IR

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Summary by Joseph Paul Cohen 5 years ago
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Summary by Joseph Paul Cohen 6 years 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 years 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 years ago
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Summary by Joseph Paul Cohen 6 years 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 6 years 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 6 years ago
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Summary by Joseph Paul Cohen 6 years 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 6 years ago
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Summary by Joseph Paul Cohen 6 years 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 6 years ago
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Summary by Joseph Paul Cohen 6 years 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 6 years 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 7 years 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 7 years 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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