Shivam Garg @shivamg_13
PhD student @Stanford Stanford, CA Joined April 2010-
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Following231
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1/4 New paper on the (lack of) implicit bias for stochastic gradient descent in online learning. arxiv.org/abs/2306.08590 with @vyasnikhil96 @depen_morwani @rosieyzh @GalKaplun and @ShamKakade6
Fine-tuned performance without a step of SGD? Excited to share TART, which transplants transformer-based reasoning modules on arbitrary foundation models to improve in-context learning performance! 📜 arxiv.org/abs/2306.07536 💻 github.com/HazyResearch/T… ✍️ hazyresearch.stanford.edu/blog/2023-06-1…
LLMs can do in-context learning, but are they "learning" new tasks or just retrieving ones seen during training? w/ @shivamg_13, @percyliang, & Greg Valiant we study a simpler Q: Can we train Transformers to learn simple function classes in-context? 🧵 arxiv.org/abs/2208.01066
Come check out our poster (#169) in the evening session today! #NeurIPS2019 We present our thoughts on synthesizing long functionally correct programs and release the SPoC dataset as a benchmark for this task. See you there!
Come check out our poster (#169) in the evening session today! #NeurIPS2019 We present our thoughts on synthesizing long functionally correct programs and release the SPoC dataset as a benchmark for this task. See you there!
Paul Valiant Receives TCC Test-of-Time #Award iacr.org/workshops/tcc/…
Gandhi at 150. Incredible man. We all know what he accomplished. How he got there is less known and more interesting. 1869 was a good decade after the first war of independence and a century into British rule.
When you make model updates based on stale gradients
Congratulations to Ali Nesin for winning the 2018 Leelavati Prize. Despite police raids, threats of arrest and a shortage of resources, he has built the @Mat_Koyu, an oasis of math education in rural Turkey. simonsfoundation.org/2018/08/09/a-f…
It's getting hard to keep up with all the adversarial robustness developments. We thus created robust-ml.org - a community-run reference for state-of-the-art adversarial example defenses. Submit your defense/attack there! (with @anishathalye @logan_engstrom @tsiprasd)
Just started a youtube channel youtube.com/channel/UC-UC-… ! First set of videos will be recordings of a 10h bandit minicourse. After that I plan to record video lectures of my crash course in learning theory (tinyurl.com/y8jeu8cs , tinyurl.com/ycgmq5lh).
Some of the videos for our workshop on the ``Modern Challenges of Learning Theory" are already online: crm.umontreal.ca/2018/Modern18/… . These are really excellent talks, highly recommended.
@SushmaSwaraj I am not able to get US Visa for prestigious #AAAI conference I have tickets and conference registration. Can you please help
Elza Catmull @ElzCatmu
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662 Followers 43 Following Osmo is giving computers a sense of smell to improve the health and wellbeing of human life.Andrew D. Huberman, P.. @hubermanlab
1.3M Followers 1K Following Professor of Neurobiology & Ophthalmology at Stanford Medicine • Host of the Huberman Lab podcast • Focused on science & health research & public educationCognition @cognition_labs
123K Followers 19 Following Makers of Devin, the first AI software engineer. We are an applied AI lab focused on reasoning, and code is just the beginning. Join us: https://t.co/tpfZwEwGiqDatologyAI @datologyai
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13K Followers 88 Following Mechanistic Interpretability lead @DeepMind. Formerly @AnthropicAI, independent. In this to reduce AI X-risk. Neural networks can be understood, let's go do it!Jack Clark @jackclarkSF
67K Followers 5K Following @AnthropicAI, ONEAI OECD, co-chair @indexingai, writer @ https://t.co/3vmtHYkaTu Past: @openai, @business @theregister. Neural nets, distributed systems, weird futuresJonathan Frankle @jefrankle
16K Followers 685 Following Chief Scientist, Neural Networks @Databricks via MosaicML. PhD @MIT_CSAIL. BS/MS @PrincetonCS. DC area native. Making AI efficient for everyone at @DbrxMosaicAISasha Rush @srush_nlp
52K Followers 464 Following Professor, Programmer in NYC. Cornell Tech, Hugging Face 🤗 https://t.co/cZl0wTfqGzJelani Nelson @minilek
22K Followers 184 Following Professor @Berkeley_EECS. Research Scientist (part-time) @GoogleAI. Founder @addiscoder. 🇻🇮🇺🇸🇪🇹Erik Jones @ErikJones313
265 Followers 137 Following CS PhD Student at @berkeley_ai working on automated evaluation for LLMsAlex Tamkin 🦣 @AlexTamkin
4K Followers 1K Following machine learning, science & society @AnthropicAI | prev: phd @StanfordAILab, @stanfordnlpTatsunori Hashimoto @tatsu_hashimoto
6K Followers 202 Following Assistant Prof at Stanford CS, member of @stanfordnlp and statsml groups; Formerly at Microsoft / postdoc at Stanford CS / Stats.Yejin Choi @YejinChoinka
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5K Followers 970 Following PhD Student. MIT ProbComp / CoCoSci. Inverting Bayesian models of human reasoning and decision-making. Pronouns: 祂/伊 Mastodon: @[email protected]Diyi Yang @Diyi_Yang
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17K Followers 80 Following • Director of the Center for AI Safety (https://t.co/ahs3LYCpqv) • GELU/ImageNet-C/MMLU/safety groundwork • PhD in AI from UC Berkeley https://t.co/rgXHAnYAsQ https://t.co/YtGtDh1aAVKayo Yin @kayo_yin
8K Followers 555 Following PhD student @berkeley_ai @berkeleynlp working on interpretability and signed languages. Former @msftresearch @deepmind @carnegiemellon @polytechnique. 🇫🇷🇯🇵Collin Burns @CollinBurns4
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5K Followers 808 Following philosopher: consciousness, rationality, self-evidencing, contemplationAdding theory to an empirical paper for reviewer 2 (or vice versa)
Very good read if you are getting started with the field (and even if you know this stuff). Covers a lot of good stuff. jaykmody.com/blog/gpt-from-…
I'm only asking people to think hard before committing to an ML PhD program. But an ML PhD could still end up working great for many! Also, I covered particular less discussed cons and did not intend to provide the full picture. 🧵My own PhD was truly a roller coaster 🎢: 1/n
These days, many people are interested in getting a PhD in ML. I think you should think really hard before committing to a PhD program in ML. Why? I'm going to summarize some thoughts in this thread: 1/10
Introducing Kit’s Quest: A fun-filled 3D #platformer featuring a brave #fox on an epic journey! • Free Demo @itchiogames 👉 bit.ly/3VtiCJ5 • Wishlist @Steam 📝 bit.ly/3GvFh39 youtu.be/eWWVfu3RotU #indiegame #indiegamedev #screenshotsaturday #madewithunity
"You are GPT-3", revised: A long-form GPT-3 prompt for assisted question-answering with accurate arithmetic, string operations, and Wikipedia lookup. Generated IPython commands (in green) are pasted into IPython and output is pasted back into the prompt (no green).
I really like ITCS (Innovations in Theoretical Computer Science) as a conference: good papers, single-track, focus on conceptual contributions, "chair rants"... and every year they make it harder and harder not to like it even more. itcs-conf.org
Great paper from the undergrad room mate @shivamg_13
LLMs can do in-context learning, but are they "learning" new tasks or just retrieving ones seen during training? w/ @shivamg_13, @percyliang, & Greg Valiant we study a simpler Q: Can we train Transformers to learn simple function classes in-context? 🧵 arxiv.org/abs/2208.01066
LLMs can do in-context learning, but are they "learning" new tasks or just retrieving ones seen during training? w/ @shivamg_13, @percyliang, & Greg Valiant we study a simpler Q: Can we train Transformers to learn simple function classes in-context? 🧵 arxiv.org/abs/2208.01066
1/ Theories of Consciousness – out now in @NatRevNeurosci. In this review (and mild manifesto), Tim Bayne & I survey the current landscape of theories of consciousness (ToCs), examine how they relate to each other and to empirical data … nature.com/articles/s4158…
First progress ``ever" on memory/time tradeoff for convex optimization! arxiv.org/abs/2203.15260 Congrats to the authors! Context: Center of gravity needs d steps & d^2 memory. How many steps do you need with d^{2-eps} memory? (At the extreme GD needs d memory and poly(d) steps.)
Solving systems of linear equations was one of my favorite topics as an algebra student. That made it especially enjoyable to report this new piece for @QuantaMagazine, on the discovery of the fastest method yet for solving some of these types of problems. quantamagazine.org/new-algorithm-…
We’ve developed two neural networks which have learned by associating text and images. CLIP maps images into categories described in text, and DALL-E creates new images, like this, from text. A step toward systems with deeper understanding of the world. openai.com/multimodal/
Come check out our poster (#169) in the evening session today! #NeurIPS2019 We present our thoughts on synthesizing long functionally correct programs and release the SPoC dataset as a benchmark for this task. See you there!
How can we synthesize programs with functional correctness? 🤖✔️ We release SPoC dataset (18K programs + human-authored pseudocode). Poster #169 at 5-7PM today! #NeurIPS2019 SPoC: Search-based Pseudocode to Code (@sumith1896, @IcePasupat et al.) arxiv.org/abs/1906.04908
Thrilled that our paper w/ @zicokolter on generalization in deep learning has been selected for the Outstanding New Directions Paper Award at #NeurIPS2019. Extremely grateful to the selection committee, reviewers & many others who provided useful feedback to improve our paper.
Want to know which NeurIPS papers were selected for an award, and how the selection was done? Check out our latest blog post on the subject: medium.com/@NeurIPSConf/n…
Paul Valiant Receives TCC Test-of-Time #Award iacr.org/workshops/tcc/…
"Sure, you theoreticians claim you love abstractions, but when I rename all my functions x and my variables f and take ε→∞ while n→0⁺, suddenly, NOBODY?"
This is a black and white photograph. Only the lines have colour. What you “see” is what your 🧠 predicts the reality to be, given the imperfect information it gets.
@reyammer @brainsmoke @lavados @c_giuffrida @againsthimself @caovc @gannimo @thorstenholz @christianrossow @herbertbos @USENIXSecurity To lighten up this conversation, in my first year as a PhD student I thought that "double blind" means that neither the author nor the reviewer have any clue what they're talking about ;)
Bay Area CS Theory Day next Friday at Google Mountain View: sites.google.com/corp/view/toca…
Check out today's edition of The Download here if you want to see what the fuss is about 😉 go.technologyreview.com/a-weather-tech…