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Nathan Ng
@learn_ng
Machine Learning PhD / visiting at . Robust representation learning, NLP, and healthcare.
Boston, MAnng555.github.ioJoined June 2009

Nathan Ng’s Tweets

forgot my super old climbing shoes in san diego, fielding recs for new ones! already been recced la sportiva theory, anything better out there?
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why do people assume ai consciousness will experience any kind of existential suffering? are there any priors for such emergent behavior besides humans?
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there's something vaguely uncomfortable about staring at yourself for too long during a haircut
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many defns of positive definite kernels use a positive semidefinite gram matrix but call it positive definite. is there something im missing here or is this an error?
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i thought morning routine were bogus until i started having one and now it's the only reason i can get myself out of my bed
My lab has Ph.D. openings starting in Fall 2023. I am looking for curiosity-driven students who are passionate about open-world machine learning. The deadline to apply is December 15: cs.wisc.edu/graduate-admis. Please help RT/spread the word. Thanks!
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As great as LeetCode is, it lacks the interactive and iterative nature that coding in an actual interview environment has. ChatGPT is surprisingly great at mimicking this and feels like a really easy way to practice the "thinking out loud" whiteboard coding style
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T-1 hours until our Workshop on Robustness in Sequence Modeling starts in Room 290! We've got a stacked lineup of speakers, spotlights, and posters today, and it all starts with a great morning keynote by !
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Why do none of the pedestrian crossings in New Orleans have crossing signs or protectipn? I'm crossing 6 full lanes of fast traffic with nothing except my wits to keep me alive. Make walking in this city feel illegal 🚷
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As part of , we are thrilled to sponsor the inaugural Workshop on Robustness in Sequence Modeling at this year's #NeurIPS2022! The workshop will be held tomorrow, Fri, Dec 2 in Room 290 and has an exciting lineup of speakers, talks, and posters. Be sure to drop by!
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Excited for our Workshop on Robustness in Sequence Modeling this Friday in room 290! (robustseq2022.github.io) If you're interested in learning more about how to train and characterize the distributional robustness of models on sequential data come by and say hi!
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Excited for our Workshop on Robustness in Sequence Modeling this Friday in room 290! (robustseq2022.github.io) If you're interested in learning more about how to train and characterize the distributional robustness of models on sequential data come by and say hi!
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Stop by Hall J 407 and say hi if you want to chat about and my work on influence functions! Tldr: we decompose the misalignment between leave one out retraining and influence functions in neural networks and find that they can answer a different question very well!
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If you're looking for grad students this cycle you won't find a more qualified candidate than 🙂
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Excited to attend NeurIPS this year! Come chat with me about robustness to distribution shifts at WiML or throughout the week! I'm applying to grad schools this cycle and would love to chat with anyone for advice or tips :) twitter.com/VMSuriyakumar/…
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next time i get reviews back I'll just flip a coin before I read my reviews to decide how I feel
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The author perception experiment at NeurIPS blog.ml.cmu.edu/2022/11/22/neu is quite interesting. An amazing disparity between expectation and outcome at a significant scale.
It’s true! We’re looking for awesome summer interns like as well as full-time roles in ML, structural and computational biology, chemistry, and engineering. Come chat with us at #NeurIPS2022 this week!
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Also now that I'm actually using twitter, special shoutout to @jiwoncpark @jaehyeon_lee_ml @stephenrra and @kchonyc for making my summer experience so great! Someone told me @PrescientDesign is hiring 😉
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Really enjoyed working with this past summer, if you have even a passing interest in antibody or protein design go check out their work this week at #NeurIPS2022!
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We're thrilled to have a number of papers by co-authors at @Prescient & @genentech accepted at #NeurIPS2022 and its workshops! These works h/l a wide range of topics from basic ML to methods for various problems in drug discovery. Check out some of the papers below 👇 1/11
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