Data

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Open Source Science

paper-reviews

https://github.com/daskol/paper-reviews

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: arxiv.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.4%) to scientific vocabulary

Keywords

neural-network paper review
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: daskol
  • License: mit
  • Language: Typst
  • Default Branch: master
  • Size: 8.28 MB
Statistics
  • Stars: 3
  • Watchers: 3
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
neural-network paper review
Created over 9 years ago · Last pushed 12 months ago
Metadata Files
Readme License Citation

README.md

Papers

papers & review

Here I stores all article I have ever read and reviews them.

Review List

  1. A

    1. Albers S. - Online Algorithms - 2006

  2. B

    1. Bed-Devide S. et al - On the Power of Randomization in Online Algorithms - 1990
    2. Benetka J. R. et al - Anticipating Information Needs Based on Check-in Activity - 2017
    3. Biamonte J. et al. Quantum machine learning - 2017

  3. G

    1. Girshick R. et al - Rich feature hierarchies for accurate object detection and semantic segmentation - 2014
    2. Giovannetti V., Lloyd S., Maccone L. - Quantum random access memory - 2008

  4. K

    1. Kirkpatrick J. et al - Overcoming catastrophic forgetting in neural networks - 2017
    2. Kingma D. et al - Glow: Generative flow with invertible 1x1 convolutions - 2018

  5. L

    1. Lv K. et al - Learning Gradient Descent: Better Generalization and Longer Horizons - 2017

  6. N

    1. Novikov A. et al - Tensorizing neural networks - 2015

List

  1. S. Albers. Online algorithms // In Interactive Computation: The New Paradigm edited by D.Q. Goldin, S.A. Smolka and P. Wegner, 143-164, 2006.
  2. Ben-David S. et al. On the Power of Randomization in Online Algorithms // 1990
  3. Lv K. et al. Learning Gradient Descent: Better Generalization and Longer Horizons // arXiv:1703.03633v2
  4. Benetka J. R. et al. Anticipating Information Needs Based on Check-in Activity // WSDM. - 2017
  5. Novikov A. et al. Tensorizing neural networks // Advances in Neural Information Processing Systems. – 2015
  6. Kirkpatrick J. et al. Overcoming catastrophic forgetting in neural networks // 2017

Owner

  • Name: Daniel Bershatsky
  • Login: daskol
  • Kind: user
  • Location: Russia, Moscow
  • Company: @skoltech-ai

GitHub Events

Total
  • Push event: 1
Last Year
  • Push event: 1

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 13
  • Total Committers: 2
  • Avg Commits per committer: 6.5
  • Development Distribution Score (DDS): 0.077
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Daniel Bershatsky d****y@s****u 12
Daniel Bershatsky d****l 1
Committer Domains (Top 20 + Academic)
skolkovotech.ru: 1

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Issue Labels
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