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Dylan Sam
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Dylan Sam
@dylanjsam
safety research @openai | formerly phd @mldcmu, @BrownUniversity
San Francisco
dsam99.github.io
Joined October 2017
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    Dylan Sam
    @dylanjsam
    Mar 11
    I defended my PhD thesis! Also, a very (~4 month) late life update, but I've joined @OpenAI to work on safety research and pretraining safer language models! 📈 Thank you to my advisor @zicokolter and my committee: Matt Fredrikson, @andrew_ilyas, and @furongh! 🙏
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    22K
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    Dylan Sam
    @dylanjsam
    May 31, 2024
    I started a summer internship at @GoogleAI in NYC this week, where I’ll be working on data for LLMs! I’d love to meet up with friends or researchers in the area 🙂
    26K
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    Dylan Sam
    @dylanjsam
    Apr 19, 2021
    I'm super excited to share that I'll be joining @mldcmu and @SCSatCMU as a ML PhD student this Fall! It's been a crazy application season, and I'm looking forward to diving into more ML research!
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    Dylan Sam
    @dylanjsam
    Sep 4, 2021
    First week of classes done @CarnegieMellon! Moved into my new office 😀 Short break to enjoy the long weekend and then back to the advisor matching process
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    Dylan Sam
    @dylanjsam
    Feb 4, 2022
    Excited to be joining Amazon AWS AI @awscloud @AmazonScience as an Applied Scientist Intern this summer! I'm looking forward to (hopefully) being in California 🌞and working on topics in self-supervised learning
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    Dylan Sam
    @dylanjsam
    Dec 12, 2023
    Check out our #NeurIPS2023 paper "Learning with Explanation Constraints" with my co-author @rpukdeee, which explains how explanations of model behavior can help us from a learning-theoretic perspective! (arxiv.org/pdf/2303.14496…) 🧵 (1/n)
    9.5K
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    Dylan Sam
    @dylanjsam
    Feb 10, 2023
    1/ Here's a more thorough tweet thread on my paper: arxiv.org/abs/2212.06921 ("Losses over Labels: Weakly Supervised Learning via Direct Loss Construction"). I'll be presenting this at #AAAI23 on Sunday! 😀 Work w/ my advisor @zicokolter.
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    Dylan Sam
    @dylanjsam
    Aug 29, 2021
    Finished a hybrid orientation at @mldcmu @CarnegieMellon !! It felt weird being back in lecture halls 😅 I'm excited for the upcoming semester of research and classes!
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    Dylan Sam
    @dylanjsam
    Feb 9, 2023
    I'm attending #AAAI23 to present my work on a different perspective on weakly supervised learning: arxiv.org/abs/2212.06921 Please DM or email me if you are around and would like to chat! 😀
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    Dylan Sam
    @dylanjsam
    May 6, 2024
    I'm at #ICLR2024 and will be presenting our work on understanding why prompt engineering generalizes so well! Come by our poster on 5/10 from 10:45am - 12:45pm 😀
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    Victor Akinwande
    @aknvictor
    Oct 11, 2023
    The dominant paradigm in deep learning is to build larger-sized models. In recent work, we show that the statistical guarantees of such models do not necessarily suffer as a result of their sheer size. arxiv.org/abs/2310.03957 🧵
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    Dylan Sam
    @dylanjsam
    Dec 15, 2021
    1st semester of PhD done ✅ looking forward to heading home to recharge after a tough set of finals
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    Dylan Sam
    @dylanjsam
    Jul 28, 2023
    I'm at #ICML2023 workshops - will be presenting some works on incorporating domain knowledge/weak supervision, identifying inequities in healthcare ⚖️, and understanding how prompting works! 🌴🍍 Thread below (1/n) 🧵👇
    2.7K
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    Dylan Sam
    @dylanjsam
    Nov 29, 2022
    I'll be attending my first in-person conference #NeurIPS2022 to present my summer internship work (sslneurips22.github.io/paper_pdfs/pap…) at the SSL workshop. Please reach out if you want to chat about SSL, weakly supervised learning, etc. Also down to watch the World Cup!
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    Dylan Sam
    @dylanjsam
    Jan 11, 2022
    PhD student in CMU's MLD, and I make $36.7k/year
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