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Aniket Rege
1,173 posts
Incoming SR @GoogleDeepMind
PhD-ing @WisconsinCS | MS at @uwcse/@RAIVNLab | Ex @AIatMeta @nvidiaai and @samsungresearch. He/Him
- Got my first PhD admit today!! 🥹🥺❤️😭
- 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)
- 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/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
00:00 - 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 :')
- 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!
GIF - Got this *bangin* gongura ramen from salt and pepper story (ft @darthdevi) today! Sooo delish 🤤 10/10 would order againDoing 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
- 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! 😄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
- I got a TA'ship and full funding for the first quarter of my masters program!!! aaaaaaah 🙉
- 🚨 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…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]arxiv.orgAdANNS: A Framework for Adaptive Semantic SearchWeb-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...
- 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
- 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












