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As a trainer and facilitator who works with nonprofit organizations and staffers, you have to be obsessed with learningtheory to design and deliver effective instruction, have productive meetings, or embark on your own self-directed learning path. Do we need to the whole hour to accomplish the same amount of work?
Join me for a FREE Webinar: Training Tips that Work for Nonprofits on Jan.29th All of my work these days is focused on designing and delivering effective training for nonprofits -primarily on the topics of social media, strategy, networks, and measurement. I use a simple structure to design: before, during, and after.
Published on February 20, 2025 11:54 PM GMT TLDR: We made substantial progress in 2024: We published a series of papers that verify key predictions of Singular LearningTheory (SLT) [ 1 , 2 , 3 , 4 , 5 , 6 ]. The learning process picks out the algorithms a model learns and thus how it generalizes. in funding for 2025.
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.
What level of interest and incentives to learn and implement evaluation are present? What does the decision making and organizational structure look like? Identify champions and people to work with. What worked for whom and under what conditions? Does the environment support change, accountability, and communication?
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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. Our favorite topics are marked with a star (*) were especially eager to fund work in these areas.
The first of these is the preference structures given by multi-objective RL, where the agent is given multiple reward functions R 1 , R 2 , R 3 , , and has to find a policy that achieves a good trade-off of those rewards according to some specified criterion.
Google is proud to be a Diamond level sponsor of NeurIPS this year and will have a significant presence year with more than 175 accepted papers, additionally contributing to and learning from the broader academic research community through numerous talks, posters, workshops, and tutorials. Cohen , Donald Metzler * Work done while at Google.
00:06:59): And I imagine that there are similar examples beyond that where we somehow need to take things that happen to work on average and see if we can shuffle the network around so that they work systematically. But in theory, I havent hit anything yet that seems like a fundamental total obstacle to scaling proofs up.
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