Darren Tsai @darrenjkt
PhD Candidate @Sydney_Uni, Australian Centre for Field Robotics (ACFR). Autonomous Vehicles, Sensor fusion, 3D Computer Vision. Sydney, Australia Joined February 2021-
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HuggingGPT is the most interesting paper I read this week. It gets very close to the "Everything App" vision that I described a while ago. ChatGPT acts as a controller over the *AI model space*, picks the right model (app) given the human specification, and assembles them…
Random quick note on Transformer block unification. People are usually a bit surprised that the MLP and Attention blocks that repeat in a Transformer can be re-formated to look very similar, likely unifiable. The MLP block just attends over data-independent {key: value} nodes:
Didn't tweet nanoGPT yet (quietly getting it to good shape) but it's trending on HN so here it is :) : github.com/karpathy/nanoG… Aspires to be simplest, fastest repo for training/finetuning medium-sized GPTs. So far confirmed it reproduced GPT-2 (124M). 2 simple files of ~300 lines
A Large Language Model trained on scientific papers. Type a text and galactica.ai will generate a paper with relevant references, formulas, and everything. Amazing work by @metaai / @paperswithcode
A Large Language Model trained on scientific papers. Type a text and galactica.ai will generate a paper with relevant references, formulas, and everything. Amazing work by @metaai / @paperswithcode
Thanks Lex, I've enjoyed many of the previous episodes so it was a pleasure to come on! (we've known each other from before the podcast (via MIT/autonomy), it's been awesome to watch you grow it so successfully over time 👏)
Thanks Lex, I've enjoyed many of the previous episodes so it was a pleasure to come on! (we've known each other from before the podcast (via MIT/autonomy), it's been awesome to watch you grow it so successfully over time 👏)
DALLE-2 was paywall-released recently by an extremely well-funded company. Just yesterday, a group of independent researchers released their own model (Stable Diffusion) that you can use in a few lines of code for FREE. The speed of the ML research community is insane 🤯
Just found out that diffusion models are the new SOTA for image generation and apparently more stable to train than GANs. Will be giving this a shot!
Just found out that diffusion models are the new SOTA for image generation and apparently more stable to train than GANs. Will be giving this a shot!
A brief history of distances (precambrian machine learning time!). PDF and distance portal: franknielsen.github.io/Divergence/ind…
!!!! Ok I recorded a (new!) 2h25m lecture on "The spelled-out intro to neural networks and backpropagation: building micrograd" youtube.com/watch?v=VMj-3S… . This is the culmination of about 8 years of obsessing about the best way to explain neural nets and backprop.
. @DeepMind released this GOLD a couple days back. If you ever wanted to study Transformers from scratch I think this would be that one resource you wouldn't want to miss: arxiv.org/abs/2207.09238
A common point raised by ML reviewers is that a method is too simple or is made of existing parts. But simplicity is a strength, not a weakness. People are much more likely to adopt simple methods, and simple ones are also typically more interpretable and intuitive. 1/2
Congratulations on the release of the Probabilistic Machine Learning book, an incredibly comprehensive resource for the ML community. (And its free!) It is an honour that the PML book has a section and figures from my Transformers are GNNs blogpost!
Congratulations on the release of the Probabilistic Machine Learning book, an incredibly comprehensive resource for the ML community. (And its free!) It is an honour that the PML book has a section and figures from my Transformers are GNNs blogpost! https://t.co/8Tej840U42
Yesterday was my last day of working at Google. Perhaps this comes as surprise to you twitter folks, as I haven't widely announced that I left academia to try something new. Here's what I learned in 9 months as a Data Analyst who (temporarily) left Astronomy for Big Tech. 1/n
How to come up with research ideas? Excited about starting doing research but have no clue?🤷♂️🤷🏻♀️ Here are some simple methods that I found useful in identifying initial directions. Check out the thread below 👇
Top scoring approaches on any benchmark are often overly complex, overly-specialized models, heavy multi-scale ensembles, fancy training techniques, etc. How do we organize benchmarks / metrics for the "simplest baseline that just works".
I couldn't resist. With contributions from @maxhkw
Favorite review to date: "The results are *impressive and practical*, but are obtained by combining six techniques/insights that are cool but each incremental on their own. Strong Reject!"
Sharing ideas on how to disseminate your research. "I am THRILLED to share that our paper is accepted to ..." Congrats! So what's next? No one is going to browse through the list of thousands of accepted papers. Ain't nobody got time for that. Check out 🧵below for examples.
For many classes of topics/questions Google Search has become super SEO'd, surfacing very low quality often ad-heavy/paginated content. I find myself appending "reddit" to a lot of queries and often getting much better results.
@colinraffel 💯 bow can be a very strong baseline in simpler setups. Eg when I was doing some arxiv-sanity ranking (predict paper a user will add to library given the other N-1 papers in their library already) a simple SVM on tfidf bow crushed BERT features

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Ankur Parikh @ank_parikh
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Leonardo.Ai @LeonardoAi_
58K Followers 1K Following Leonardo Al. The advanced creative toolkit for curious makers. https://t.co/Wn0zqQ5vsR API Access: https://t.co/LfYpTC3Y8j Discord: https://t.co/Fu73yaNwDw
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213K Followers 332 Following The Stanford Artificial Intelligence Laboratory (SAIL), a leading #AI lab since 1963. ⛵️🤖 Emmy-winning video: https://t.co/lV9smZTC1m
fast.ai @fastdotai
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Berkeley AI Research @berkeley_ai
228K Followers 379 Following We're graduate students, postdocs, faculty and scientists at the cutting edge of artificial intelligence research.
Andrew Ng @AndrewYNg
1.3M Followers 1K Following Co-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs
Ian Goodfellow @goodfellow_ian
348K Followers 1K Following DeepMind Research Scientist. Opinions my own. Inventor of GANs. Lead author of https://t.co/M6vl8pEQ4I Founding chairman of @pubhealthaction
Kaspar Althoefer @KasparAlthoefer
1K Followers 762 Following ERC Synergy Grant EndoTheranostics https://t.co/xiYjLuGVNI
IROS 2022 @2022Iros
724 Followers 8 Following The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) will be held on October 23–27, 2022 in The Kyoto Int. Conf. Center
IEEE ICRA @ieee_ras_icra
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Xiaohua Zhai @XiaohuaZhai
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Yann LeCun @ylecun
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Andrej Karpathy @karpathy
1.4M Followers 1K Following Building @EurekaLabsAI. Previously Director of AI @ Tesla, founding team @ OpenAI, CS231n/PhD @ Stanford. I like to train large deep neural nets.
Google DeepMind @GoogleDeepMind
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Negar Rostamzadeh @negar_rz
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Sharad Vikram @sharadvikram
2K Followers 590 Following Researcher @ Google Deepmind. I work on JAX + Pallas (https://t.co/lPMsq3yzgL) and Gemini. In the past I worked on Oryx and TFP. I like learning.
Adam Santoro @santoroAI
9K Followers 224 Following Research Scientist in artificial intelligence at DeepMind
Yao Qin @YaoQin_UCSB
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Harini Kannan @harinidkannan
675 Followers 98 Following Working on something new. Previously generative AI @GoogleBrain and @MIT CS
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Ankur Bapna @ankurbpn
1K Followers 649 Following Conversational Superintelligence @Meta Previously Led Native Audio Generation Gemini 2.5, Native Audio Gemini 1.5 @GoogleDeepmind
Ofir Nachum @ofirnachum
5K Followers 356 Following Research at @OpenAI. Previously at @GoogleAI on the Brain Team. Doing work on #ReinforcementLearning and #MachineLearning
Hugging Face @huggingface
568K Followers 210 Following The AI community building the future. https://t.co/VkRPD0Vclr
Jacob Menick @jacobmenick
6K Followers 326 Following @thinkymachines previously @OpenAI @UCL @DeepMind 🇺🇸/🇬🇧
Chaitanya K. Joshi @chaitjo
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Peyman Milanfar @docmilanfar
94K Followers 504 Following Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Tweets = personal opinions. May change or disappear over time.
Martin Maas @martin_maas
490 Followers 305 Following Staff Research Scientist at Google DeepMind. All opinions are my own.
Jasper @latentjasper
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Charles 🎉 Frye @charles_irl
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Dmytro Mishkin 🇺�... @ducha_aiki
24K Followers 708 Following Marrying classical CV and Deep Learning. I do things, which work, rather than being novel, but not working.
Fabio Petroni @Fabio_Petroni
2K Followers 377 Following Group Leader at @EMBL, focusing on AI-driven Scientific Discovery. Co-Founder @Samaya_AI. Former Researcher @MetaAI (FAIR) @thomsonreuters. PhD @SapienzaRoma.
Hossein Mobahi @TheGradient
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Peter Hase @peterbhase
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