Learning Theory Local Test 
Google Research AI blog
APRIL 30, 2023
If you’re registered for ICLR 2023, we hope you’ll visit the Google booth to learn more about the exciting work we’re doing across topics spanning representation and reinforcement learning, theory and optimization, social impact, safety and privacy, and applications from generative AI to speech and robotics.
Stanford AI Lab Blog
DECEMBER 6, 2021
Kochenderfer Contact : philhc@stanford.edu Links: Paper Keywords : deep learning or neural networks, sparsity and feature selection, variational inference, (application) natural language and text processing Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss Authors : Jeff Z.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
The AI Alignment Forum
FEBRUARY 7, 2025
This guide provides an opinionated overview of recent work and open problems across areas like adversarial testing, model transparency, and theoretical approaches to AI alignment. Were interested in more research on this, and other stress tests of todays state-of-the-art alignment methods.
NonProfit Hub
OCTOBER 16, 2015
Beth is an expert in facilitating online and offline peer learning, curriculum development based on traditional adult learning theory and other instructional approaches. And there is Jack Andraka , a high school student who got obsessed with finding a cure for cancer and created a test that can detect pancreatic cancer.
Google Research AI blog
NOVEMBER 28, 2022
A Workshop for Algorithmic Efficiency in Practical Neural Network Training Workshop Organizers include: Zachary Nado , George Dahl , Naman Agarwal , Aakanksha Chowdhery Invited Speakers include: Aakanksha Chowdhery , Priya Goyal Human in the Loop Learning (HiLL) Workshop Organizers include: Fisher Yu, Vittorio Ferrari Invited Speakers include: Dorsa (..)
The AI Alignment Forum
MARCH 28, 2025
Daniel Filan (00:28:50): If people remember my singular learning theory episodes , theyll get mad at you for saying that quadratics are all there is, but its a decent approximation. (00:28:56): Because okay, if Im imagining were doing this as a test case for thinking about some super big network.
Expert insights. Personalized for you.
105 
Let's personalize your content