Beth's Blog: How Nonprofits Can Use Social Media
FEBRUARY 18, 2014
Use Learning Theory. I have written a lot about how it is important to understand how the brain works, how people learn by using learning theories to guide the design of your workshops. I also ask for feedback on what exercises or content in the workshop helped learning and what should be changed.
Beth's Blog: How Nonprofits Can Use Social Media
JANUARY 27, 2014
Designing and delivering a training to a nonprofit audience is not about extreme content delivery or putting together a PowerPoint and answering questions. 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.
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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.
Stanford AI Lab Blog
APRIL 25, 2022
Guibas, Hao Dong Contact : kaichun@cs.stanford.edu Links: Paper | Video | Website Keywords : visual affordance learning, robotic manipulation, 3d perception, interactive perception Language modeling via stochastic processes Authors : Rose E Wang, Esin Durmus, Noah Goodman, Tatsunori Hashimoto Contact : rewang@stanford.edu Award nominations: Oral Presentation (..)
The AI Alignment Forum
FEBRUARY 28, 2025
The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret In this paper , we look at what happens when a learnt reward function is optimised. This means that it essentially makes the analysis in this paper more realistic, and more closely applicable to humans.
Museum 2.0
SEPTEMBER 26, 2012
The purpose of my thesis was two-fold: To research and analyze community and civic engagement practices, methods, theories and examples in other museum programs. To apply the results of my analysis to produce a community-driven program design specifically for implementation at the Santa Cruz Museum of Art & History (the MAH).
The AI Alignment Forum
FEBRUARY 7, 2025
Typically, toy models are very small, trained on a carefully constructed synthetic dataset, or idealized and amenable to mathematical analysis ( Scherlis et al. Nice-to-have criterion: Capabilities validation: Analysis of how much harder it is to achieve frontier capabilities with the novel approach than the mainstream. Hnni et al.
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