Analysis Knowledge Learning Theory 
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.
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.
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Stanford AI Lab Blog
APRIL 25, 2022
Manning, Jure Leskovec Contact : xikunz2@cs.stanford.edu Award nominations: Spotlight Links: Paper | Website Keywords : knowledge graph, question answering, language model, commonsense reasoning, graph neural networks, biomedical qa Fast Model Editing at Scale Authors : Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D.
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
Robust unlearning: One idea for reducing AI risks is to remove models' knowledge of potentially dangerous topics, such as cybersecurity exploits or virology. Completely unlearn a piece of knowledge or capability from a model more thoroughly than would be possible without insight into the internal structure of the model. Hnni et al.
Beth's Blog: How Nonprofits Can Use Social Media
JUNE 29, 2016
Adults tend to interpret information received in a training based on existing knowledge in their brains and then integrate it with previous experiences. In the first portion of the training, Jeanne and Cindy modeled four great practices for designing training content, including: Spend a little time researching adult learning theory, or.
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 (..)
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