Evaluation Knowledge Learning Theory 
ASU Lodestar Center
OCTOBER 16, 2020
This call spurred the increasing demand for program evaluation. In your organization, this may look like negative attitudes toward evaluation, poor research designs and collecting data but not using the data. The root problem here is poor evaluation capacity. The root problem here is poor evaluation capacity.
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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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.
The AI Alignment Forum
FEBRUARY 7, 2025
We think this adversarial style of evaluation and iteration is necessary to ensure an AI system has a low probability of catastrophic failure. Wed like to support more such evaluations, especially on scalable oversight protocols like AI debate. and Which rules are LLM agents happy to break, and which are they more committed to? .
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
It’s not solely about how museums can serve communities but rather what are the communities’ resources, knowledge and interests that can inform museum practice? They stress community engagement should be an asset- over needs-based approach. Furthermore, how can museums and communities work together to share strengths in the community?
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