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ShortScience.org - Making Science Accessible!

www.shortscience.org/

ShortScience.org allows researchers to publish paper summaries that are voted on and ranked until the best and most accessible summary has been found! The ...

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Where is www.shortscience.org hosted?

Country:
United States
City:
Provo
Registrar:
Public Interest Registry
Latitude:
40.22
Longitude:
-111.61
IP address:
142.4.19.35
IP Binary address:
10001110000001000001001100100011
IP Octal address:
21601011443
IP Hexadecimal address:
8e041323

Context analysis of shortscience.org

Number of letters on this page:
39 102
Number of words on this page:
7 902
Number of sentences on this page:
461
Average words per sentences on this page:
17
Number of syllables on this page:
13 339
Number of Bold texts:
8

Domain name architecture

Domain name length:
16
Hyphens:
Domain doesn't contain hyphens!
Domain name with Hindi letters:
स (h) ओ र ट स च इ ए ञ च ए . ओ र ग
Domain name with Hebrew letters:
שׂ ה (ο) ר ת שׂ ק(c) (i) (e) נ ק(c) (e) . (ο) ר ג
Domain name with Cyrillic letters:
с х о р т с ц и e н ц e . о р г
Domain name with Arabic letters:
ص ح (o) ر ت ص (c) (i) (e) ن (c) (e) . (o) ر غ
Domain name with Greek letters:
σ (h) ο ρ τ σ χ ι ε ν χ ε . ο ρ γ
Domain name with Chinese letters:
艾丝 艾尺 哦 艾儿 提 艾丝 西 艾 伊 艾娜 西 伊 . 哦 艾儿 吉
Domain without Consonants:
shrtscnc.rg
Domain without Vowels:
oiee.o
Alphabet positions:
s19 h8 o15 r18 t20 s19 c3 i9 e5 n14 c3 e5 . o15 r18 g7
Domain name pattern:
V: Vowel, C: Consonant, N: Number
C C V C C C C V V C C V . V C C

<HEAD> DATA INFORMATION

Encoding:
utf-8
description:
ShortScience.org allows researchers to publish paper summaries that are voted on and ranked until the best and most accessible summary has been found! The goal is to make all the seminal ideas in science accessible to the people that want to understand them.
keywords:
summary, summaries, intuition, breakdown, short, understanding, explain, explanation, comment, interpretation, motivation, commentary, example, science, researchers, academic, academia, university, college, professor

External links in shortscience.org

  • https://twitter.com/shortscienceorg
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  • http://arxiv.org/abs/1605.08179
  • https://scholar.google.com/scholar?q="Discovering Causal Signals in Images"
  • https://twitter.com/share?url=http%3A%2F%2Fwww.shortscience.org%2Fpaper%3FbibtexKey%3Djournals%2Fcorr%2FLopez-PazNCSB16%23hlarochelle&text=Summary+of+Discovering+Causal+Signals+in+Images&hashtags=shortscience
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  • http://arxiv.org/abs/1705.08665v2
  • http://www.arxiv-sanity.com/1705.08665
  • https://scholar.google.com/scholar?q="Bayesian Compression for Deep Learning"
  • https://twitter.com/share?url=http%3A%2F%2Fwww.shortscience.org%2Fpaper%3FbibtexKey%3Djournals%2Fcorr%2F1705.08665%23gngdb&text=Summary+of+Bayesian+Compression+for+Deep+Learning&hashtags=shortscience
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  • http://arxiv.org/abs/1703.07718
  • https://scholar.google.com/scholar?q="Independently Controllable Features"
  • https://twitter.com/share?url=http%3A%2F%2Fwww.shortscience.org%2Fpaper%3FbibtexKey%3Djournals%2Fcorr%2FBengioTPPB17%23hlarochelle&text=Summary+of+Independently+Controllable+Features&hashtags=shortscience
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  • http://arxiv.org/abs/1706.01427v1
  • http://www.arxiv-sanity.com/1706.01427
  • https://scholar.google.com/scholar?q="A simple neural network module for relational reasoning"
  • https://twitter.com/share?url=http%3A%2F%2Fwww.shortscience.org%2Fpaper%3FbibtexKey%3Djournals%2Fcorr%2F1706.01427%23kdubovikov&text=Summary+of+A+simple+neural+network+module+for+relational+reasoning&hashtags=shortscience
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  • http://arxiv.org/abs/1704.05519
  • https://scholar.google.com/scholar?q="Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art"
  • https://twitter.com/share?url=http%3A%2F%2Fwww.shortscience.org%2Fpaper%3FbibtexKey%3Djournals%2Fcorr%2FJanaiGBG17%23martinthoma&text=Summary+of+Computer+Vision+for+Autonomous+Vehicles%3A+Problems%2C+Datasets+and+State-of-the-Art&hashtags=shortscience
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  • http://arxiv.org/abs/1705.04304v1
  • http://www.arxiv-sanity.com/1705.04304
  • https://scholar.google.com/scholar?q="A Deep Reinforced Model for Abstractive Summarization"
  • https://twitter.com/share?url=http%3A%2F%2Fwww.shortscience.org%2Fpaper%3FbibtexKey%3Djournals%2Fcorr%2F1705.04304%23udibr&text=Summary+of+A+Deep+Reinforced+Model+for+Abstractive+Summarization&hashtags=shortscience
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  • http://arxiv.org/abs/1701.05369v1
  • http://www.arxiv-sanity.com/1701.05369
  • https://scholar.google.com/scholar?q="Variational Dropout Sparsifies Deep Neural Networks"
  • https://twitter.com/share?url=http%3A%2F%2Fwww.shortscience.org%2Fpaper%3FbibtexKey%3Djournals%2Fcorr%2F1701.05369%23gngdb&text=Summary+of+Variational+Dropout+Sparsifies+Deep+Neural+Networks&hashtags=shortscience
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  • http://papers.nips.cc/paper/5638-faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks
  • https://scholar.google.com/scholar?q="Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks"
  • https://twitter.com/share?url=http%3A%2F%2Fwww.shortscience.org%2Fpaper%3FbibtexKey%3Dconf%2Fnips%2FRenHGS15%23martinthoma&text=Summary+of+Faster+R-CNN%3A+Towards+Real-Time+Object+Detection+with+Region+Proposal+Networks&hashtags=shortscience
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  • http://dx.doi.org/10.1007/978-3-642-35289-8_27
  • http://sci-hub.cc/http://dx.doi.org/10.1007/978-3-642-35289-8_27
  • https://scholar.google.com/scholar?q="Training Deep and Recurrent Networks with Hessian-Free Optimization"
  • https://twitter.com/share?url=http%3A%2F%2Fwww.shortscience.org%2Fpaper%3FbibtexKey%3Dseries%2Flncs%2FMartensS12%23razah&text=Summary+of+Training+Deep+and+Recurrent+Networks+with+Hessian-Free+Optimization&hashtags=shortscience
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  • http://arxiv.org/abs/1509.06321
  • https://scholar.google.com/scholar?q="Evaluating the visualization of what a Deep Neural Network has learned"
  • https://twitter.com/share?url=http%3A%2F%2Fwww.shortscience.org%2Fpaper%3FbibtexKey%3Djournals%2Fcorr%2FSamekBMBM15%23qureai&text=Summary+of+Evaluating+the+visualization+of+what+a+Deep+Neural+Network+has+learned&hashtags=shortscience
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  • http://arxiv.org/abs/1703.06870
  • https://scholar.google.com/scholar?q="Mask R-CNN"
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  • http://arxiv.org/abs/1612.03144
  • https://scholar.google.com/scholar?q="Feature Pyramid Networks for Object Detection"
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  • http://dx.doi.org/10.1007/978-3-319-46448-0_2
  • http://sci-hub.cc/http://dx.doi.org/10.1007/978-3-319-46448-0_2
  • https://scholar.google.com/scholar?q="SSD: Single Shot MultiBox Detector"
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  • http://arxiv.org/abs/1702.03407
  • https://scholar.google.com/scholar?q="Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth"
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  • http://papers.nips.cc/paper/6547-reward-augmented-maximum-likelihood-for-neural-structured-prediction
  • https://scholar.google.com/scholar?q="Reward Augmented Maximum Likelihood for Neural Structured Prediction"
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Internal links in shortscience.org

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  • ./paper?bibtexKey=journals/corr/Lopez-PazNCSB16
  • venue?key=journals/corr&year=2016
  • user?name=hlarochelle
  • mailto:joseph@josephpcohen.com?subject=ShortScience.org Summary Report&body=I am reporting the summary: http://www.shortscience.org/paper?bibtexKey=journals/corr/Lopez-PazNCSB16#hlarochelle
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