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Aniket Rege
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Aniket Rege
@wregss
Incoming SR @GoogleDeepMind PhD-ing @WisconsinCS | MS at @uwcse/@RAIVNLab | Ex @AIatMeta @nvidiaai and @samsungresearch. He/Him
Madison, WI
aniketrege.github.io
Joined June 2009
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  • Pinned
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    Aniket Rege
    @wregss
    Apr 6
    🎉 Super stoked to share that our work is accepted to the main conference of ACL 2026!! See you in sunny San Diego 🌞 #ACL2026 #NLProc Paper thread below 🧵
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    Aniket Rege
    @wregss
    Feb 7, 2023
    Got my first PhD admit today!! 🥹🥺❤️😭
    38K
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    Aniket Rege
    @wregss
    Mar 25, 2025
    I'm going to be research interning at @Meta @RealityLabs in Redmond this summer!!! 😭❤️🏔️
    19K
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    Aniket Rege
    @wregss
    Feb 7, 2024
    With all the recent hype around 🪆Matryoshka Representation Learning 🪆(Thanks @OpenAI !), I finally put my longstanding plan of writing a detailed blog about MRL to action aniketrege.github.io/blog/2024/mrl/ This blog is NOT a paper walkthrough (see @RitvikRastogi19 for that!) (1/7)
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    Aniket Rege
    @wregss
    Oct 18, 2024
    Smol grad school milestones :') (thanks @OpenAI +🪆)
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    21K
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    Aniket Rege
    @wregss
    Sep 5, 2024
    Really clean + simple video walking through 🪆MRL🪆 (incoming shameless self plug) For some more background into representation learning and why we created MRL, checkout my blog from earlier this year! aniketrege.github.io/blog/2024/mrl/
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    Victoria Slocum
    @victorialslocum
    Sep 4, 2024
    Matryoshka Representation Learning (MRL) is a super exciting approach to improving the quality and efficiency of embedding models and strategies ✨ MRL allows models to store more information in the earlier dimensions of their data vectors. This method not only boosts
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    Aniket Rege
    @wregss
    Jan 28, 2024
    Happy and proud to see our MRL work (arxiv.org/abs/2205.13147, NeurIPS '22) recognized and used by @OpenAI to power their latest flexible embedding models! Blog post: openai.com/blog/new-embed… One of those great grad student days :')
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    Aniket Rege
    @wregss
    May 3, 2023
    Super happy to share that I'm joining the @UWMadison CSE #PhD program this Fall, focusing on #MachineLearning and #computervision research. Huge thanks to all my collaborators and mentors (esp. @adityakusupati) for all their help and guidance through this super chaotic process!
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    Aniket Rege
    @wregss
    Jun 29, 2024
    Got this *bangin* gongura ramen from salt and pepper story (ft @darthdevi) today! Sooo delish 🤤 10/10 would order again
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    Sreya
    @darthdevi
    Jun 25, 2024
    Doing an Andhrasian popup delivery lunch with Chef Puja from The Salt&Pepper Story this weekend! We have gone mad and this is the result 😂♥️ Orders can be placed for the dish of your choice up till this Thursday, 27th June 2024. Deliveries will happen on 29th June 2024, this
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    Aniket Rege
    @wregss
    May 1, 2024
    Video of this talk is up on YouTube! youtube.com/watch?v=Ibfdvz… I walk through our Matryoshka Representation Learning 🪆 (MRL) and Adaptive Web-Scale Semantic Search 💃(AdANNS) works #ml twitter pls feel free to share your thoughts, always happy to chat! 😄
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    Aniket Rege
    @wregss
    Apr 25, 2024
    Hi Twitter! I'm giving a talk on the recently popular Matryoshka Representation Learning and followup web-scale semantic search work at @UWMadisonECE MLOPT Seminar mlopt.ece.wisc.edu/idea-seminar/ Time: April 26, 2024, 12:30 PM – 1:30 PM CT Everyone is welcome to join on Zoom! :D 1/n
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  • user avatar
    Aniket Rege
    @wregss
    Aug 21, 2021
    I got a TA'ship and full funding for the first quarter of my masters program!!! aaaaaaah 🙉
  • user avatar
    Aniket Rege
    @wregss
    Sep 22, 2023
    🚨 Super stoked that my joint first-author work on adaptive semantic nearest neighbors search (AdANNS) is accepted at #NeurIPS2023 !! Apply to your #LLM of choice for vector search today 😁 Paper: arxiv.org/abs/2305.19435 Code: github.com/RAIVNLab/AdANN…
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    Aditya Kusupati
    @adityakusupati
    Jun 12, 2023
    Introducing💃AdANNS: A Framework for Adaptive Semantic Search🕺 TL;DR: Up to 90× faster nearest neighbor retrieval and 2× lower memory cost for web-scale search. Applies to vector search at scale & improves all "retrieval" augmented models! arxiv.org/abs/2305.19435 [1/8]
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    arxiv.org
    AdANNS: A Framework for Adaptive Semantic Search
    Web-scale search systems learn an encoder to embed a given query which is then hooked into an approximate nearest neighbor search (ANNS) pipeline to retrieve similar data points. To accurately...
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  • user avatar
    Aniket Rege
    @wregss
    Apr 25, 2024
    Hi Twitter! I'm giving a talk on the recently popular Matryoshka Representation Learning and followup web-scale semantic search work at @UWMadisonECE MLOPT Seminar mlopt.ece.wisc.edu/idea-seminar/ Time: April 26, 2024, 12:30 PM – 1:30 PM CT Everyone is welcome to join on Zoom! :D 1/n
    mlopt.ece.wisc.edu
    Idea Seminar
    The MLOPT Idea Seminar is a casual forum where junior researchers from all around the world are invited to present their recent ideas and findings. The seminar aims to provide an open and supportive...
    13K
  • user avatar
    Aniket Rege
    @wregss
    May 16, 2019
    Well done to the states of Alabama, Georgia, Kentucky, Missouri, and Ohio who have somehow managed to build a time machine to the 1920s: old white men deciding what rights women have over their own bodies #abortionisahumanright

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