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Stanford AI Lab Papers and Talks at ICLR 2022

Stanford AI Lab Blog

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 (..)

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Guest Post: Community and Civic Engagement in Museum Programs

Museum 2.0

We attentively respond to requests and purposefully use different modes of feedback to inform program design from our comment board, social media outlets, conversations and observations both inside and outside the museum, creative feedback at events such as our Show and Tell Booth and online visitor surveys specific to our programs.

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AAM 2010 Recap: Slides, Surprises, and a Banjo

Museum 2.0

The conversation worked and the questions kept coming because the answers were thoughtful and open. She spent the majority of the time talking about what went wrong, and she introduced an organizational learning theory called "double-loop learning" that resonated with me.

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How to Be a Wizard at Tech Training Design and Delivery

Beth's Blog: How Nonprofits Can Use Social Media

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. Incorporate the three learning styles: visual, audio, and somatic.

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