Attention Learning Theory Structure 
Beth's Blog: How Nonprofits Can Use Social Media
JANUARY 27, 2014
If you want to get results, you need to think about instructional design and learning theory. And, there is no shortage of learning theories and research. As someone who has been designing and delivering training for nonprofits over the past twenty years, the most exciting part is apply theory to your practice.
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. Mukund Varma T.
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The AI Alignment Forum
FEBRUARY 20, 2025
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 Learning Theory (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.
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.
The AI Alignment Forum
FEBRUARY 7, 2025
Were interested in funding research that leverages knowledge about the structure of a models activation space to efficiently estimate the probability of some particular rare output, even when that probability is too small to estimate by random sampling. or causal structure in data affects neural representations. Wen et al. ,
The AI Alignment Forum
MARCH 28, 2025
How can we use the takeaways from this frame to say where we should focus our attention? So if we want to drill down into what parts need the most attention and the most understanding, to understand them we should be looking at how do the non-linearities perform their function. You can get shorter proofs that have better accuracy.
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