Git Product home page Git Product logo

double-blind-reviewing.github.io's Introduction

Double-blind reviewing status of computer science conferences

This document tracks the status of major computer science conferences (currently defined as those listed in CSrankings) with respect to how they maintain anonymity during the reviewing process; it is curated by Emery Berger. For additions or updates, please post an issue or pull request on its GitHub repository.

For the purposes of this document:

  • Single-blind means that author identities and affiliations are visible to reviewers at all points during the reviewing process, while reviewer identities are hidden from authors.

  • At least partially double-blind means that author identities and affiliations are not revealed to reviewers for papers prior to the submission of initial paper reviews, and reviewer identities are hidden from authors.

  • Fully double-blind means that "double-blind to accept" is employed. That is, author identities and affiliations are not revealed to reviewers until the conclusion of the PC meeting, and only for accepted papers (including conditionally-accepted papers, pending modifications due to shepherding).

  • arXiv restricted means that submissions to arXiv or other pre-print servers are restricted for at least a limited period before and during the review process. When appropriate, there is a link to the CFP or other relevant document.

Each conference is linked to its call for papers (CFP) or similar. In cases where the CFP does not explicitly state the use of blind reviewing (or whether it is fully double-blind or not), this status has been verified directly with the program chair(s).

Conference At least partially double-blind? Fully double-blind (blind to accept)? arXiv restricted?
fully double-blind conferences
AAAI Y Y
ACL Y Y Y
ASE Y Y N(1)
ASPLOS Y Y N
CAV Y Y N(2)
CCS Y Y
CRYPTO Y Y
CVPR Y Y N
ECCV Y Y N
EMNLP Y Y Y
EuroCrypt Y Y
EuroSys Y Y
FAST Y Y
FSE Y Y N
HPCA Y Y
ICML Y Y
ICSE Y Y Y(3)
IJCAI Y Y N
ISCA Y(*) Y N(4)
KDD Y Y N
MICRO Y Y N(4)
MobiCom Y Y
NDSS Y Y
NeurIPS Y Y N
NSDI Y Y N
Oakland (IEEE S&P) Y Y N
OOPSLA Y Y N(5)
OSDI Y Y
PLDI Y Y N
SenSys Y Y
SIGCOMM Y Y N
SIGGRAPH Y Y N
SIGGRAPH Asia Y Y N
SIGMETRICS Y Y N
SIGMOD Y Y
SOSP Y Y
USENIX ATC Y Y N
USENIX Security Y Y N
WWW Y Y N(6)
partially double-blind conferences
CHI Y(**) N
ICFP Y
ISSTA Y N
LICS Y N
MobiSys Y
POPL Y N
single-blind conferences
FOCS
ICDE
ICRA
IROS
PODS
SODA
STOC
VIS
VLDB
  • (*): ISCA 2020's industrial track (not research track) papers are single-blind.
  • (**): CHI's research paper track has a single meta-reviewer who knows the identities of all authors.
  • (1): Authors are discouraged from posting the submitted work on arXiv or a similar site immediately before or after submitting to the conference.
  • (2): "We do not discourage authors to put their submission on arXiv, but we strongly encourage authors to not put the work on arXiv around (within 1 week) or shortly after (within 1 month) the submission deadline, because potential reviewers may be subscribed to receive updates on recently posted papers."
  • (3): "You should not [...] post your work on ArXiV or a similar site just before or after submitting to the conference."
  • (4): Information about arXiv submission must be provided on the submission form โ€“ the PC chair will make this information available to reviewers if it becomes necessary to ensure a fair review.
  • (5): "You may post to mailing lists, arxiv, social media, or another publicity channel about your work, but do not mention where the paper is submitted and do not use the exact, as-submitted title in the posting."
  • (6): "If available online (e.g., via arXiv) and not anonymous, their titles and abstract must be sufficiently different from the submission"

Resources related to double-blind reviewing

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.