bounded-regret.ghost.io/how-should-we-compare-neural-network-representations

Preview meta tags from the bounded-regret.ghost.io website.

Linked Hostnames

17

Thumbnail

Search Engine Appearance

Google

https://bounded-regret.ghost.io/how-should-we-compare-neural-network-representations

How should we compare neural network representations?

Cross-posted from the BAIR Blog [https://bair.berkeley.edu/blog/2021/11/08/similarity/]. To understand neural networks, researchers often use similarity metrics to measure how similar or different two neural networks are to each other. For instance, they are used to compare vision transformers to convnets [1], to understand



Bing

How should we compare neural network representations?

https://bounded-regret.ghost.io/how-should-we-compare-neural-network-representations

Cross-posted from the BAIR Blog [https://bair.berkeley.edu/blog/2021/11/08/similarity/]. To understand neural networks, researchers often use similarity metrics to measure how similar or different two neural networks are to each other. For instance, they are used to compare vision transformers to convnets [1], to understand



DuckDuckGo

https://bounded-regret.ghost.io/how-should-we-compare-neural-network-representations

How should we compare neural network representations?

Cross-posted from the BAIR Blog [https://bair.berkeley.edu/blog/2021/11/08/similarity/]. To understand neural networks, researchers often use similarity metrics to measure how similar or different two neural networks are to each other. For instance, they are used to compare vision transformers to convnets [1], to understand

  • General Meta Tags

    7
    • title
      How should we compare neural network representations?
    • charset
      utf-8
    • viewport
      width=device-width, initial-scale=1
    • referrer
      no-referrer-when-downgrade
    • article:published_time
      2021-11-05T22:04:05.000Z

  • Open Graph Meta Tags

    8
    • og:site_name
      Bounded Regret
    • og:type
      article
    • og:title
      How should we compare neural network representations?
    • og:description
      Cross-posted from the BAIR Blog [https://bair.berkeley.edu/blog/2021/11/08/similarity/]. To understand neural networks, researchers often use similarity metrics to measure how similar or different two neural networks are to each other. For instance, they are used to compare vision transformers to convnets [1], to understand
    • og:url
      https://bounded-regret.ghost.io/how-should-we-compare-neural-network-representations/

  • Twitter Meta Tags

    8
    • twitter:card
      summary_large_image
    • twitter:title
      How should we compare neural network representations?
    • twitter:description
      Cross-posted from the BAIR Blog [https://bair.berkeley.edu/blog/2021/11/08/similarity/]. To understand neural networks, researchers often use similarity metrics to measure how similar or different two neural networks are to each other. For instance, they are used to compare vision transformers to convnets [1], to understand
    • twitter:url
      https://bounded-regret.ghost.io/how-should-we-compare-neural-network-representations/
    • twitter:image
      https://bounded-regret.ghost.io/content/images/2021/08/logo2-1.png

  • Link Tags

    8
    • alternate
      https://bounded-regret.ghost.io/rss/
    • amphtml
      https://bounded-regret.ghost.io/how-should-we-compare-neural-network-representations/amp/
    • canonical
      https://bounded-regret.ghost.io/how-should-we-compare-neural-network-representations/
    • icon
      https://bounded-regret.ghost.io/content/images/size/w256h256/2021/08/logo2.png
    • stylesheet
      /assets/built/screen.css?v=cdab1af06f

Links

28