Stanford AI Lab
The Stanford Artificial Intelligence Laboratory (SAIL) has been a center of excellence for Artificial Intelligence research, teaching, theory, and practice since its founding in 1962.
Latest News
Yang Song, Stefano Ermon, and colleagues for win ICLR 2021 Outstanding Paper Award
Congratulations to Yang Song, Stefano Ermon, and colleagues for winning an ICLR 2021 Outstanding Paper Award for their paper “Score-Based Generative Modeling through Stochastic Differential Equations.”
Chris Ré and Colleagues win the NeurIPS 2020 Test of Time Award
Warm congratulations to Chris Ré for winning (with friends) the NeurIPS 2020 Test of Time Award for his work on HogWild!
Jiajun Wu wins the AAAI/ACM SIGAI Dissertation Award
Congratulations to Jiajun for winning the AAAI/ACM SIGAI Dissertation Award!
Annie Xie, Dylan Losey, and Ryan Tolsma Win the Best Paper Award at CORL 2020
Congratulations to Annie Xie, Dylan Losey, Ryan Tolsma, Chelsea Finn, and Dorsa Sadigh for winning the Best Paper Award at the 2020 Conference on Robot Learning for their paper “Learning Latent Representations to Influence Multi-Agent Interaction”
Dorsa Sadigh Earns AFOSR Young Investigator Research Program Award
Congratulations to Dorsa Sadigh for winning the Air Force Office of Scientific Research Young Investigator Research Program award for her research proposal “Adaptive Conventions for Trustworthy Human-Robot Interaction.”
Jurafsky Ph.D. Student Lucy Li and Co-Authors Awarded Best Paper by the American Educational Research Association
Congratulations to Lucy Li, Dorottya Demszky, Patricia Bromley, and Dan Jurafsky for earning the Best Paper award from the American Educational Research Association!
Latest Tweets
Contrastive learning is powerful, but limited by the availability of domain-specific data augmentations.
Viewmaker Networks address this by *learning* augmentations with a neural network #ICLR2021.
Work by @alextamkin, @mike_h_wu, and Noah Goodman.
https://ai.stanford.edu/blog/viewmaker/
The International Conference on Artificial Intelligence and Statistics (AISTATS) 2021 is being hosted virtually from April 13th - April 15th. We’re excited to share all the work from SAIL that’s being presented in this blog post: http://ai.stanford.edu/blog/aistats-2021/
The Stanford AI Lab supports and deeply appreciates the talented Iranian members of our community. We strive for equitable treatment of people from any nation of origin in both admissions and the operation of the lab. Discrimination has no place in our community. 💚
Sustaining long, unconstrained conversations is hard. Read our latest post by @AshwinParanjape and @amelia_f_hardy dive into Chirpy Cardinal, an open source social bot that tapped into neural generation to grab 2nd place in the competition!
https://ai.stanford.edu/blog/chirpy-cardinal/
Congratulations to @YSongStanford, @StefanoErmon, and colleagues (at Google, some ex-Stanford!) on their ICLR 2021 Outstanding Paper Award for Score-Based Generative Modeling through Stochastic Differential Equations
Announcing ICLR 2021 Outstanding Paper Awards
By ICLR 2021 Program Co-Chairs Ivan Titov (U. Edinburgh / U. Amsterdam), Naila Murray (Facebook AI Research), and Alice Oh (KAIST), and…
iclr-conf.medium.com
Popular @StanfordAILab ML teacher @AndrewYNg tells @_KarenHao lessons from doing AI in companies: “we need to shift in mindset from big data to good—cleanly labeled and carefully curated—data.” Hmm … where else did we hear something like that recently? 🤔
Learning about AI with Google Brain and Landing AI founder Andrew Ng
AI pioneer Andrew Ng reflects on how companies can use machine learning to transform their operations and solve critical problems.
www.technologyreview.com
We Are Pleased to Welcome a New Member of Our Faculty
Carlos Guestrin who focuses on Machine Learning, Explainability, Fairness and ML Systems.
Affiliates Program
Stanford AI Lab faculty and students enjoy chances to understand and solve the not-yet-doable pain points of industry. Get a chance to support and interact with SAIL’s brightest minds.
Learn More