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ICLR
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ICLR
@iclr_conf
International Conference on Learning Representations #ICLR2027. SPC is @jacobandreas and GC is @BharathHarihar3
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iclr.cc
Joined July 2018
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  • user avatar
    ICLR
    @iclr_conf
    Mar 10, 2020
    Due to concerns about COVID-19, #ICLR2020 will cancel its physical conference this year, and instead host a fully virtual conference. Our initial guidance for presenters and attendees, see iclr.cc/Conferences/20…
  • user avatar
    ICLR
    @iclr_conf
    Aug 6, 2025
    ICLR 2026 will take place in 📍Rio de Janeiro, Brazil 📅 April 23–27, 2026 Save the date - see you in Rio! #ICLR2026
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    ICLR
    @iclr_conf
    Sep 13, 2021
    ICLR is happy to announce the call for contributions for our very first "Blog Posts Track". We invite submissions in blog format discussing previously published papers at ICLR. For details on this exciting new experiment in publication models see: iclr.cc/Conferences/20…
  • user avatar
    ICLR
    @iclr_conf
    Oct 4, 2024
    All you need is love 🥰
    user avatar
    Dimitris Papailiopoulos
    @DimitrisPapail
    Oct 4, 2024
    I guess we need a lot of things
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    83K083K
  • user avatar
    ICLR
    @iclr_conf
    Mar 6, 2020
    Quick conference update: #ICLR2020 is working through potential methods to hold a remote conference this year, as it is looking increasingly difficult for many people to attend. We will make an official announcement with plans on Monday.
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    ICLR
    @iclr_conf
    Aug 7, 2024
    Announcing the ICLR 2025 Call for Papers! Abstract submission: 11:59pm, Sept 27 (AoE) Submission date: 11:59pm, Oct 1 (AoE) Reviews released: Nov 12 Author/Reviewer Discussion: Nov 12-26 Author Last Day to Reply: Nov 27 Final Decisions: Jan 22 2025 iclr.cc/Conferences/20…
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  • user avatar
    ICLR
    @iclr_conf
    Apr 28, 2025
    That's a wrap for #ICLR2025! See you all next year in Brazil! Please all welcome @BharathHarihar3 as the new Senior Program Chair! (With @cvondrick continuing on as General Chair.)
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  • user avatar
    ICLR
    @iclr_conf
    May 7, 2024
    And... the first-ever ICLR test-of-time award goes to "Auto-Encoding Variational Bayes" by Kingma & Welling. Runner-up: "Intriguing properties of neural networks", Szegedy et al. The awards will be presented at 2:15pm tomorrow; there will be retrospective talks. Please attend!
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  • user avatar
    ICLR
    @iclr_conf
    Apr 24, 2025
    Loving the poster session energy! #ICLR2025
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    00:00
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  • user avatar
    ICLR
    @iclr_conf
    Jul 8, 2020
    It is our pleasure to announce the Call for Papers for ICLR 2021. For the first time there will be an abstract submission (due September 28) before the full paper deadline (October 2). For details see: iclr.cc/Conferences/20… Looking forward to many exciting submissions!
  • user avatar
    ICLR
    @iclr_conf
    May 4, 2020
    We learnt a lot making #ICLR2020 a reality. We thank everyone involved who made it so much fun 🤩Today we release a public archive of the conference site and share the lessons we learnt organising the virtual conference. See this blog post.
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    Gone Virtual: Lessons from ICLR2020
    From iclr-conf.medium.com
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    ICLR
    @iclr_conf
    Apr 1, 2021
    We are thrilled to announce the #ICLR2021 Outstanding Paper Awards! Out of 860 excellent papers, the award committee identified 8 that are especially noteworthy: iclr-conf.medium.com/announcing-icl… Congratulations to the authors!! @shakir_za @iatitov @aliceoh @NailaMurray @katjahofmann
    iclr-conf.medium.com
    Announcing ICLR 2021 Outstanding Paper Awards
    By ICLR 2021 Program Co-Chairs Ivan Titov (U. Edinburgh / U. Amsterdam), Naila Murray (Facebook AI Research), and Alice Oh (KAIST), and…
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    ICLR
    @iclr_conf
    Aug 6, 2025
    Announcing the ICLR 2026 Call for Papers! Abstract submission: Sept 19 (AoE) Paper submission: Sept 24 (AoE) Reviews released: Nov 11 Author/Reviewer discussion: Nov 11-Dec 3 Final decisions: Jan 22 2026 iclr.cc/Conferences/20…
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  • user avatar
    ICLR
    @iclr_conf
    Apr 14, 2025
    Replying to @iclr_conf
    Test of Time Winner Adam: A Method for Stochastic Optimization Diederik P. Kingma, Jimmy Ba Adam revolutionized neural network training, enabling significantly faster convergence and more stable training across a wide variety of architectures and tasks.
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