We have an amazing lineup of speakers for BayLearn on October 16, 2025, hosted by Santa Clara University with support from University of California, Santa Cruz.
See: baylearn.org
Please join the registration lottery by Sep 30th to attend: baylearn2025.splashthat.com
On behalf of the BayLearn 2024 organizing team, I am pleased to announce that videos of the talks from BayLearn 2024, hosted by Apple in Cupertino on October 10th, are now online. Enjoy! baylearn.org/schedule
#BayLearn #BayLearn2024
I'm thrilled to welcome six exceptional additions to Partnership on AI's Board of Directors.
I also want to express my deep gratitude to @erichorvitz, our Founding Board Chair, and @easears, our Founding Vice Chair for their visionary leadership. partnershiponai.org/partners…
The BayLearn 2024 abstract submission deadline has been extended to Aug 5, 2024. If you are working on cutting-edge ML research, please consider submitting an abstract. BayLearn 2024 will be an in-person event, held on Oct 10, 2024: baylearn.org
I'm honored to be appointed Board Chair of Partnership on AI. Having been on the PAI board since 2018, I've witnessed the impactful work we've accomplished, delivering AI solutions that empower people and improve society. Our multistakeholder approach is more important than ever.
Building a future where AI empowers humanity isn't a one-person job. Fortunately, we have an incredible Board of Directors to help realize our vision. Today, we're excited to announce new changes to our Board: partnershiponai.org/partners…
As a member of Partnership on AI’s Board of Directors, I’m proud of our mission to bring together civil society, industry, and academia to catalyze action and transparency for responsible AI. PAI's multi-stakeholder approach has never been more important. partnershiponai.org/a-call-f…
It's exciting to see @DeepMind implement responsible data enrichment guidelines from @PartnershipAI at Scale. Check out the resources for implementing these changes within your own organization: partnershiponai.org/responsi…
BayLearn 2022 will be an in-person event, hosted by Genentech on October 20, 2022. We have lined up some amazing keynote speakers for our 10th anniversary machine learning symposium: baylearn.org
Please register now if you'd like to attend: bit.ly/BayLearnReg
BayLearn 2021 is 1 week away! The 2021 Bay Area Machine Learning Symposium will be a virtual symposium, held on Thursday, Oct 28th, 2021—baylearn.org. We've just added more seats, so please register now if you plan to attend—bit.ly/BayLearnReg
BayLearn 2021 is now open for abstract submissions. If you are working on cutting-edge machine learning research, please consider submitting an abstract before the June 25th deadline: baylearn.org
The BayLearn 2021 Symposium will be held on October 28, 2021. #baylearn
On behalf of the BayLearn 2020 organizing team, I am pleased to announce that videos of the talks from BayLearn 2020 are now online. Enjoy! baylearn.org/schedule
#BayLearn #BayLearn2020
BayLearn 2020 is less than 1 week away! The 2020 Bay Area Machine Learning Symposium will be a virtual symposium, held on Thursday, Oct 15th, 2020—baylearn.com. Register by 5:00PM PDT on Tuesday, Oct 13th, if you plan to attend—bit.ly/BayLearnReg
On behalf of the BayLearn organizing team, I am thrilled to announce our Keynote Speakers for BayLearn 2020. BayLearn 2020 will be a virtual symposium, held on Oct 15th, 2020.
Please register to attend: bit.ly/BayLearnReg
baylearn.org
#baylearn #baylearn2020
I'm very sad about the death of Michael Hawley. I feel fortunate to have known him. Michael was amazingly accomplished in so many areas, and he was influential and inspirational to so many people. What a big loss.
nytimes.com/2020/06/24/techn…
BayLearn 2020 is now open for abstract submissions. If you are working on cutting-edge machine learning research, please consider submitting an abstract before the June 18th deadline: baylearn.org
The BayLearn 2020 Symposium will be held on October 15, 2020. #baylearn
On behalf of the BayLearn 2019 organizing team, I am pleased to announce that videos of the talks from BayLearn 2019 are now online. Enjoy! baylearn.org/schedule
#BayLearn #BayLearn2019
Jerremy Holland retweeted
We released the code for #NeurIPS2019 paper “Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum”. With a few lines of change, the algorithm improves an existing model without increasing the complexity:
github.com/apple/ml-data-par…
Jerremy Holland retweeted
New work on Geometric Capsules: Learning to group 3D points into parts & parts into the whole object in unsupervised way. Each capsule represents a visual entity consisting of a pose & feature representing "where" & ''what'' it is.
arxiv.org/abs/1912.03310
w/t @nitishsr & @Hanlin
Jerremy Holland retweeted
Happy to share our recent work, "Geometric Capsule Autoencoders for 3D Point Clouds." The main idea is that instead of finding agreement among parts of an object, we find agreement among different views of the object. arxiv.org/abs/1912.03310
