Stanford AI Lab @StanfordAILab
The Stanford Artificial Intelligence Laboratory (SAIL), a leading #AI lab since 1963. ⛵️🤖 Emmy-winning video: https://t.co/lV9smZTC1m ai.stanford.edu Stanford, CA Joined November 2018-
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Excited to be co-organizing the Epidemiology meets Data workshop this year at @kdd_news 2024! We welcome submissions from epidemiology, data science, ML, and public health more broadly - see CFP here: epidamik.github.io/dates.html Deadline: May 28 Workshop: Aug 25 or 26
Excited to be co-organizing the Epidemiology meets Data workshop this year at @kdd_news 2024! We welcome submissions from epidemiology, data science, ML, and public health more broadly - see CFP here: epidamik.github.io/dates.html Deadline: May 28 Workshop: Aug 25 or 26
We have a new preprint out - your language model is not a reward, it’s a Q function! 1. The likelihood of the preferred answer must go down - it’s a policy divergence 2. MCTS guided decoding on language is equivalent to likelihood search on DPO 3. DPO learns credit assignment
Reward functions are often hard or impossible to design. If you're working on RL without a predefined reward function (RLHF, unsupervised, exploration etc.), consider submitting to the RLBrew workshop! Deadline May 3rd.
Reward functions are often hard or impossible to design. If you're working on RL without a predefined reward function (RLHF, unsupervised, exploration etc.), consider submitting to the RLBrew workshop! Deadline May 3rd.
It was great speaking with @zipengfu from @StanfordAILab, learning about what is happening on the cutting-edge of #Robotics and what #Robots can do autonomously – like cooking or cleaning up spilled water. Watch the video on the BuzzRobot YouTube channel youtu.be/ne3QQe9Kxn0?si……
On campus this week, attending Stanford AI Lab annual meeting. The 2024 AI Index Report just dropped! Here are some key insights from this comprehensive report. You can read the full report here. aiindex.stanford.edu/wp-content/upl… 🤖✨ @StanfordHAI @StanfordAILab @USTglobal #RDBuzz
The meteoric rise of machine-learning systems over the past decade is staggering, with benchmarks and tests quickly becoming obsolete due to rapid advancements. @Nature on the newly released #AIIndex2024. go.nature.com/4cVYs3Q
This was published a while ago, but I just noticed it. @theafricaiknow_ Thanks for the interview and profile!
This was published a while ago, but I just noticed it. @theafricaiknow_ Thanks for the interview and profile!
Adaptive Informative Path Planning (AIPP) enables robots to efficiently collect data about unknown environments. Explore our survey on AIPP and its integration with robotic learning, authored by: @mpopovic514, Joshua Ott, @JRuckin, & @aiprof_mykel: arxiv.org/abs/2404.06940…
Large multimodal models often lack precise low-level perception needed for high-level reasoning, even with simple vector graphics. We bridge this gap by proposing an intermediate symbolic representation that leverages LLMs for text-based reasoning. mikewangwzhl.github.io/VDLM 🧵1/4
I’m fighting… against vague notions of LLM attributions. 😤 Check out our paper (w. @TeddiWorledge, Nicole, Caleb and Carlos) here: arxiv.org/abs/2311.12233
I’m fighting… against vague notions of LLM attributions. 😤 Check out our paper (w. @TeddiWorledge, Nicole, Caleb and Carlos) here: arxiv.org/abs/2311.12233
How do we create realistic models of dressed humans directly from visual data? We introduce PhysAvatar, a framework that estimates the shape, appearance, and physical parameters of dressed human avatars from multi-view videos. Page: qingqing-zhao.github.io/PhysAvatar (1/6)
Now in its fourth offering, @StanfordCodeIP continues to expand its community-powered teaching and learning model, imparting the fundamentals of coding to over 30,000 learners with the support of 3,000 section leaders since 2020. engineering.stanford.edu/magazine/stanf…
When I first saw Tree of Thoughts, I asked myself: If language models can reason better by searching, why don't they do it themselves during Chain of Thought? Some possible answers (and a new paper): 🧵
Language models struggle to search, not due to an architecture problem, but a data one! They rarely see how to search or backtrack. We show how LLMs can be taught to search by representing the process of search in language as a flattened string, a stream of search (SoS)!
Can't wait for this week's Thursday Nights in AI, featuring @StanfordAILab roboticist @michellearning! In addition to our usual Q&A, Michelle will give a quick talk on where the field of robotics & computer vision is today, and where we go from here Join live or via livestream!
Dive into the future with OceanOne! This bimanual humanoid #robot from Stanford Robotics Lab is making a splash with its incredible underwater capabilities. From exploring shipwrecks to assembling structures, this robot is the coolest thing under the sea 🌊🤖😎 #innovation…
Learn more about @ArecJam's recent work on Constrained Options Belief Tree Search (COBeTS), soon to be presented at @ieee_ras_icra! It leverages hierarchical decomposition to scale online search-based CPOMDP planning to large robotic problems. youtu.be/kUBvQuXbm6E
Gave a special presentation at our group meeting titled "Introduction to Drawing: Human as an Image Generator" -- with my artwork from the drawing class! 🎨 It's fun to think about the differences between how humans and networks do these tasks
Explore @_victorialena's work on enhancing interpretability and OOD generalizability in motion prediction, to be presented at @ieee_ras_icra. It integrates graph-based representations and time-sequence models in a variational autoencoder. #ICRA2024 youtu.be/0J0AC39rbpo
Super excited to share that VisDiff has been accepted to #CVPR2024 and selected as an oral (90/11,532)! We will give a 15-min presentation going through the methods and exciting applications enabled by VisDiff. See you in Seattle!
Super excited to share that VisDiff has been accepted to #CVPR2024 and selected as an oral (90/11,532)! We will give a 15-min presentation going through the methods and exciting applications enabled by VisDiff. See you in Seattle!
AI at Meta @AIatMeta
530K Followers 255 Following Together with the AI community, we are pushing the boundaries of what’s possible through open science to create a more connected world.
Percy Liang @percyliang
49K Followers 408 Following Associate Professor in computer science @Stanford @StanfordHAI @StanfordCRFM @StanfordAILab @stanfordnlp | cofounder @togethercompute | Pianist
Jia-Bin Huang @jbhuang0604
51K Followers 285 Following Associate Professor @umdcs; Part-time Research Scientist @Meta. I like pixels.
Rosanne Liu @savvyRL
33K Followers 966 Following Cofounded & running @ml_collective. Host of Deep Learning Classics & Trends. Research at Google DeepMind. DEI/DIA Chair of ICLR & NeurIPS. Writing https://t.co/IbycyGfnDR
Pranav Rajpurkar @pranavrajpurkar
21K Followers 710 Following Professor at Harvard | Medical Artificial Intelligence | https://t.co/Z6tBGoluEG
Michael Bronstein @mmbronstein
43K Followers 4K Following #DeepMind Professor of #AI @UniofOxford / Fellow @ExeterCollegeOx / ML Lead @ProjectCETI / https://t.co/kZpGpDzYeV
Animesh Garg @animesh_garg
21K Followers 1K Following Foundation Models for Generalizable Autonomy. Assistant Professor in AI Robotics @GeorgiaTech + @NvidiaAI. prev @Stanford @berkeley_ai @UofTCompSci
Jay Alammar @JayAlammar
35K Followers 1K Following Machine learning and language models R&D. Builder. Writer. Visualizing AI, ML, and LLMs one concept at a time. @Cohere. https://t.co/TquuQXlLOJ
Prof. Anima Anandkuma.. @AnimaAnandkumar
25K Followers 2K Following Bren Professor @caltech, Fmr Sr Director of #AI research @nvidia, Fmr Principal Scientist @awscloud, AI+Science, PDE, Neural operators. Views my own.
Christopher Manning @chrmanning
126K Followers 115 Following Director, @StanfordAILab. Assoc. Director, @StanfordHAI. Founder, @stanfordnlp. Prof. CS & Linguistics, @Stanford. IP @aixventureshq. 🇦🇺 Do #NLProc & #AI. 👋
Natasha Jaques @natashajaques
25K Followers 1K Following Senior Research Scientist at @GoogleAI and Assistant Professor @uwcse. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from @MIT.
Sara Hooker @sarahookr
39K Followers 7K Following I lead @CohereForAI. Formerly Research @Google Brain @GoogleDeepmind. ML Efficiency at scale, LLMs, @trustworthy_ml. Changing spaces where breakthroughs happen.
Autonomous Vision Gro.. @AutoVisionGroup
12K Followers 371 Following Awesome Vision Group of Andreas Geiger at the University of Tübingen. We are excited about Computer Vision, Machine Learning and Robotics.
Stanford HAI @StanfordHAI
86K Followers 556 Following The official account of the @Stanford Institute for Human-Centered AI, advancing AI research, education, policy, and practice to improve the human condition.
Eugene Vinitsky @EugeneVinitsky
13K Followers 2K Following Anti-cynic. Artificial narrow intelligence. Autonomous vehicles, multi-agent learning, and transportation. RS at Apple, Asst. Prof at @nyutandon. He/him.
Sam Bowman @sleepinyourhat
35K Followers 3K Following AI alignment + LLMs at NYU & Anthropic. Views not employers'. No relation to @s8mb. I think you should join @givingwhatwecan.
Thomas Wolf @Thom_Wolf
68K Followers 4K Following Co-founder and CSO @HuggingFace - open-source and open-science
Tim Dettmers @Tim_Dettmers
29K Followers 819 Following PhD Student at @UW. I blog about deep learning and PhD life at https://t.co/Y78KDJJFE7.
Beyond the Arc @beyondthearc
6K Followers 4K Following Customer-centric thinking & improving decisions with data are more important than ever. In our DNA: #CX #PR #machinelearning #fintech #digital #contentmarketing
Kasandra @Kasandr66697510
1 Followers 34 Following
김희제 @gimeejae_
0 Followers 8 Following
Kyle @Kyle_Vectara
0 Followers 77 Following Generative AI, Retrieval Augmented Generative, LLMs, Machine Learning, Neural Networks, Data Science, Semantic Search, Conversational AI, VectorDB, Research
Ortal Dayan @ShabnamDayan
3 Followers 49 Following Deep learning researcher and lecturer, Weizmann Institute of Science. Founder of WE-AI aiming to bridge the gender gap in AI. Meng, Imperial College London.
BKSingh @BK5530
4 Followers 166 Following
Nelson Baker @style_ikaro
10 Followers 69 Following
Grzegorz Wenc @GrzegorzWenc
1 Followers 366 Following
Arvin Fatemi @arvin_fatemi
85 Followers 344 Following
Olufunke Sarumi @funzac83
131 Followers 210 Following Just Me|Love God|Positive Energy |NLP Scientist
イカハンターα�.. @Splatoon1ikahan
1K Followers 3K Following リツイート非表示推奨/賛同≠♡/INTP/LII/5w4/pjsk❄/中野二乃🦋/wowaka誄/Xperia1IV/TREK🚴/音楽🎹 by YouTube↓干し芋→ https://t.co/3gQfWQ10qK
Hari Prasad Miriyam @_harimiriyam
18 Followers 117 Following
ALLAOUI IKRAM @ALLAOUIIKR76128
2 Followers 20 Following
Ralf Fletcher @ralff
263 Followers 507 Following Over 15 years high profile Digital industry experience. Now since 2008 leading DU (Digital United) on varied adventures....
Lokesh Agrawal @LokeshAgra46344
0 Followers 8 Following
Open @OpenXuu
1 Followers 96 Following
Cinzia Tegoni @cteg
350 Followers 833 Following Programme Manager @DGAgri #sustainability #ruraldevelopment interested in #foodpolicy and #governance of the #commons #water #climatechange. Ideas are my own
KeepFlourishing King @DragonFlou47009
47 Followers 290 Following Make friends all over the world, and there is nostalgia everywhere in life.
XUN @CuwneT
15 Followers 12 Following
Jerry Lee @jerrylzj123
0 Followers 16 Following
李二 @lixiyin0913
1 Followers 25 Following
shawaz @ZakariaMekkani
19 Followers 155 Following
Srinivas Bijoor @bijoorlive
0 Followers 28 Following Photo by Pixabay: https://t.co/8R6ksumBGo Photo by Pixabay: https://t.co/GtzXM6xPS7
Albi @drpandapan
37 Followers 74 Following
Diego Guerra @diegoguerror
88 Followers 553 Following Consultant @McKinsey by day. Bag packer on the weekends. @Wharton alumnus. AI and VC. 🇲🇽 living the dream 🗽. He/him. Views my own
Vishnuvaradhan.v @Vishnuv_02
3 Followers 38 Following
🦋 @miramesola
2 Followers 85 Following
﮼بلال،الحل.. @BElhlwany
29 Followers 113 Following just believe in myself ⚡️Teaching Assistant ⚡️Communication Engineer ⚡️Must Uni⚡️ Single ⚡️
Net Work @NetWorkfinderr
13 Followers 68 Following
Percy Liang @percyliang
49K Followers 408 Following Associate Professor in computer science @Stanford @StanfordHAI @StanfordCRFM @StanfordAILab @stanfordnlp | cofounder @togethercompute | Pianist
Pranav Rajpurkar @pranavrajpurkar
21K Followers 710 Following Professor at Harvard | Medical Artificial Intelligence | https://t.co/Z6tBGoluEG
Christopher Manning @chrmanning
126K Followers 115 Following Director, @StanfordAILab. Assoc. Director, @StanfordHAI. Founder, @stanfordnlp. Prof. CS & Linguistics, @Stanford. IP @aixventureshq. 🇦🇺 Do #NLProc & #AI. 👋
Stanford HAI @StanfordHAI
86K Followers 556 Following The official account of the @Stanford Institute for Human-Centered AI, advancing AI research, education, policy, and practice to improve the human condition.
Stanford NLP Group @stanfordnlp
144K Followers 179 Following Computational Linguists—Natural Language—Machine Learning @chrmanning @jurafsky @percyliang @ChrisGPotts @tatsu_hashimoto @MonicaSLam @Diyi_Yang @StanfordAILab
Juliette Woodrow @juliettewoodrow
30 Followers 64 Following CS PhD Student @Stanford. My research focuses on how we can leverage human-centered AI to improve access to education.
Lucy Shi @lucy_x_shi
1K Followers 529 Following Student researcher at Stanford. Working on robot learning and multimodal learning. Interested in robots, rockets, and humans.
Karl Pertsch @KarlPertsch
1K Followers 206 Following Robot Foundation Models @ UC Berkeley & Stanford | Postdoc w/ Sergey Levine & Chelsea Finn | Prev. Intern @ Google Brain, Meta AI | PhD @ USC.
Alexander Khazatsky @SashaKhazatsky
280 Followers 15 Following
Orr Zohar @orr_zohar
66 Followers 72 Following PhD Student @Stanford • Researching how AI can be used in surgery • @KnightHennessy scholar • Advised by @syeung10
Xiaohan Wang @wxh1996111
45 Followers 325 Following Postdoc @Stanford. Video Understanding, Multimodal Learning, and AI for Healthcare
Krista Opsahl-Ong @kristahopsalong
631 Followers 345 Following CS PhD candidate @Stanford @StanfordAILab || Prev @Google @Microsoft
Chen Geng @gengchen01
455 Followers 672 Following CS Ph.D. Student @Stanford. Previously Hons. B.Eng. in CS @ZJU_China.
Hancheng Cao (on the .. @CaoHancheng
3K Followers 2K Following PhD @Stanford Computer Science. Stanford Interdisciplinary Graduate Fellow. On the job market. Researcher in #ComputationalSocialScience #HCI
Zhenzhen Weng @JenWeng4
156 Followers 235 Following PhD candidate at @Stanford working on 3D Computer Vision and Virtual Humans. Advised by @syeung10. 💻 Ex-intern @Waymo @Adobe. BSCS@CMU🚀
Josiah Aklilu @AkliluJosiah2
86 Followers 76 Following PhD student @Stanford | part of MARVL graciously advised by @syeung10 | AI for surgery
Alyssa Unell @AlyssaUnell
35 Followers 47 Following CS PhD Student @StanfordAILab. Previously @MIT_CSAIL. Robustness, Reliability, NLP, FM.
Tristan Thrush @TristanThrush
3K Followers 759 Following PhD-ing @StanfordAILab @stanfordnlp. Advisor @PlaytestAI. Past: @ContextualAI, @huggingface, @Meta FAIR, @mitbrainandcog, @MIT_CSAIL, @NASAJPL
Weixin Liang @liang_weixin
609 Followers 621 Following CS Ph.D. Student @Stanford @StanfordAILab https://t.co/pOjcCS4gUk
Meihua Dang @meihuadang
575 Followers 128 Following Ph.D student @StanfordAILab | Previous M.S. student @UCLA StarAI Lab
Bowen Liu @liubowen16
427 Followers 494 Following AI drug discovery. Previously @insitro; @google; @stanforduchem PhD w/ @vijaypande and @jure; @aucklanduni. 🇳🇿
Kyle Swanson @KyleWSwanson
382 Followers 303 Following I'm a PhD student in Computer Science at Stanford University. My research focuses on machine learning applied to biomedicine and drug discovery.
Julie Kallini ✨ @JulieKallini
596 Followers 336 Following CS PhD @StanfordNLP 🌲 Previously: SWE @Meta, Class of '21 @PrincetonCS
Zhengxuan Wu @ZhengxuanZenWu
745 Followers 531 Following goes by zen, CS Ph.D. student @stanfordnlp @StanfordAILab
Yanay Rosen @YanayRosen
335 Followers 306 Following CS PhD Student at Stanford. Machine Learning + CompBio Website: https://t.co/F7vi7UkTaC
Demi Guo @demi_guo_
22K Followers 693 Following Co-founder & CEO @pika_labs | ex @StanfordAILab @Harvard
Rika Antonova @contactrika
2K Followers 765 Following Incoming @Cambridge_Uni faculty in ML/AI + Robotics | @Stanford Postdoc, @kth_rpl PhD, @CMU_Robotics MS, earlier @Google engineer (search, OCR+Books/StreetView)
Robert Moss @mossr_jl
124 Followers 60 Following Stanford CS PhD student, member of @SISLaboratory (Validation — Optimization — Reinforcement Learning — Decision Making Under Uncertainty)
Kexin Huang @KexinHuang5
2K Followers 554 Following PhD Student @Stanford CS with @jure; Machine Learning + Biomedicine
Mikaela Angelina Uy @mikacuy
419 Followers 207 Following On the job market! @Stanford CS PhD. Research on computer vision, graphics and geometry processing. Previous @HKUST undergrad. From Manila, Philippines 🇵🇭
Kyle Sargent @KyleSargentAI
266 Followers 345 Following 3D, view synthesis, reconstruction, generative models CS PhD student @Stanford. Past: AI Resident @Google, A.B. @Harvard Like/retweet/follow != endorsement.
Ruocheng Wang @ruocheng_w
203 Followers 867 Following
Carlota Parés-Morlan.. @carlotapares
69 Followers 98 Following Researcher @StanfordIPRL, Fellow @FundlaCaixa
Shuran Song @SongShuran
7K Followers 426 Following Assistant Professor @Stanford University working on #Robotics #AI #ComputerVision
Mandi Zhao @ZhaoMandi
2K Followers 1K Following PhDing at Stanford, AI & robotics. Prev. @MetaAI, @berkeley_ai. I made an emotional investment that @ChelseaFC will win the title in/around the year 2025.
Zeyi Liu @Liu_Zeyi_
237 Followers 228 Following PhD student @Stanford w/ @SongShuran #Robotics #ComputerVision Class of 2022 @CUSEAS 🦁
Jingyun Yang @yjy0625
423 Followers 192 Following PhD student at Stanford · Working on Learning and Vision for Robotics · Loves Cats
Swapnil Gandhi @sw2pnil
602 Followers 989 Following PhD Student in ML Systems @Stanford CS 🌲 ◦ Formerly: @MSFTResearch, @IIScBangalore
CLS @ChengleiSi
2K Followers 3K Following vibing @stanfordnlp | real AGI is the friends we made along the way
Rohan Sinha @RohanSinhaSU
131 Followers 103 Following PhD Student @StanfordASL. Interested in Robotics + Control Theory + ML. UC Berkeley ME + CS alum. Dutch International Student. https://t.co/aN08e036Ga
Elliott / Shangzhe Wu @elliottszwu
5K Followers 765 Following Postdoc @StanfordSVL working on unsupervised 3D perception and inverse rendering, PhD from @Oxford_VGG. Public office hours: https://t.co/iSSemSi1NQ
Yuchen Cui @YuchenCui1
438 Followers 440 Following Postdoc @Stanford in Interactive Robot Learning 🤖🤖🤖 | previously CS PhD @UTAustin, BS @PurdueECE | I am on the academic job market the 2023-2024 season!
Joon Sung Park @joon_s_pk
5K Followers 1K Following CS Ph.D. student @StanfordHCI + @StanfordNLP. Previously @MSFTResearch, @IllinoisCS & @Swarthmore. Oil painter. HCI, NLP, generative agents, human-centered AI
Our research introduces a system that enables you to generate 3D environments from text prompts and train embodied AI agents within them! Website: yueyang1996.github.io/holodeck/ Code: github.com/allenai/Holode… How did we leverage Objaverse assets to create interactive 3D environments? 👇
[1/5] Introducing VisDiff - an #AI tool that describes differences in image sets with natural language. VisDiff can summarize model failures, compare models, find nuanced dataset differences, discover what makes an image memorable, and so much more! …derstanding-visual-datasets.github.io/VisDiff-websit…
@megha_byte and I wrote a blog post on the release of >1,000 dynamic interaction traces between humans and LMs! These traces were collected for HALIE, a Human-AI Language Interactive Evaluation framework recently published in TMLR. Blog: crfm.stanford.edu/2023/10/11/hal… 🧵👇
📢Excited to share our new #ACL2023 Findings paper! #NLProc We introduce NeQA, a dataset consisting of questions with negation, in which language models exhibit inverse, U-shaped, or positive scaling, depending on prompting methods or model families. arxiv.org/abs/2305.17311 🧵
Can images generated by text-to-image models like Stable Diffusion be used to discover bias and improve generalization? Check out our #ICML2023 paper 🔥DISC arxiv.org/abs/2305.00650 Why DISC? 🔑Less spurious bias! 🌱Better (OOD) generalization! 🔎Trustworthy interpretations!
Getting offline RL working in the real world requires mixing diverse data together. When this data comes as different frequencies, it can create unique challenges for Q-learning methods because value propagates at different rates for different frequencies.
Working on the Weekends - an Academic Necessity? thegradient.pub/working-on-the…
Having a terrible work-life balance is common for researchers, as is complaining about this terrible work-life balance. How can academia change this? Claas Voelcker @c_voelcker has a simple proposal: don't work on the weekend. 👇 thegradient.pub/working-on-the…
How can robots 🤖 learn from videos of humans, especially when humans perform the same task in different ways? A 🧵 introducing our #CoRL2021 paper "XIRL: Cross-embodiment Inverse RL". Website & code: x-irl.github.io 1/
Our paper on DiffImpact was just accepted as an oral at CoRL 2021! openreview.net/forum?id=wVIql… Thank you to the reviewers, and a wonderful interdisciplinary team @NeginHeravi, Mark Rau, @RuohanGao1, @jiajunwu_cs, Doug James, and @leto__jean
AlphaFold for RNA? Excited to share our @StanfordAILab work on deep learning for predicting 3D RNA structure, out today on the cover of @ScienceMagazine! science.sciencemag.org/content/373/65… Sound interesting? Join us at atomic.ai to bring this work to life! More news soon!
#CVPR2021 Check out Motion Programs, a neuro-symbolic representation that expresses human skeleton trajectories as a composition of motion primitives. Motion programs can be automatically inferred from video and used in video editing. sumith1896.github.io/motion2prog/ (1/n)
We are organizing the #RSS2021 Workshop on Visual Learning and Reasoning for Robotics (VLRR)! Submissions are now open! (Deadline: June 20th) Website: rssvlrr.github.io
"Distinguishing characteristics of the modern knowledge graphs from the classical knowledge graphs are: scale, bottom up development and multiple modes of construction." @chaudhri et al., @StanfordAILab h/t @dunglas stanford.io/3vhKQto
How do we build visually guided controllers that help humans operate complex robots? Thrilled to share our #L4DC paper "Learning Visually Guided Latent Actions for Assistive Teleoperation" with Albert Zhai, @loseydp, and @DorsaSadigh! Paper: arxiv.org/abs/2105.00580 A 🧵 [1/7]
Our work on scalable multi-agent planning is nominated for Best Paper at the upcoming AAMAS 2021! Checkout the video presentation here @aamas2021 slideslive.com/38954871/scala…
Hanging objects is a common daily task. We propose OmniHang to learn to hang arbitrary objects onto a diverse set of supporting items using contact point correspondences and neural collision estimation. Project webpage: sites.google.com/view/hangingob… Paper: arxiv.org/abs/2103.14283
Predicting video is a powerful self-supervised approach for robots to learn about the world Greedy hierarchical VAEs *can train larger models with less memory *surprisingly outperform end-to-end training w Bohan Wu @SurajNair_1 @RobobertoMM, @drfeifei youtu.be/C8_-z8SEGOU 🧵
Wonderful summary of #AIIndex2021 from @StanfordHAI and @indexingai !
The 2021 AI Index Report - a thread: this year we significantly expanded the amount of data available in the report and worked with a broader set of external organizations to calibrate our data. Here are the top 9 takeaways:
The 2021 AI Index Report is out! There is a lot to learn from the report this year, but here are some key takeaways. Really interesting data on diversity, international talent in the US, etc. Go and take a look!! @indexingai @StanfordHAI
The 2021 AI Index Report - a thread: this year we significantly expanded the amount of data available in the report and worked with a broader set of external organizations to calibrate our data. Here are the top 9 takeaways:
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