Activation Atlas

Activation Atlas. Carter, S., Armstrong, Z., Schubert, L., Johnson, I., & Olah, C. 4(3):e15.

By using feature inversion to visualize millions of activations from an image classification network, we create an explorable activation atlas of features the network has learned and what concepts it typically represents.

@article{carterActivationAtlas2019,
  langid = {english},
  title = {Activation {{Atlas}}},
  volume = {4},
  issn = {2476-0757},
  url = {https://distill.pub/2019/activation-atlas},
  doi = {10.23915/distill.00015},
  abstract = {By using feature inversion to visualize millions of activations from an image classification network, we create an explorable activation atlas of features the network has learned and what concepts it typically represents.},
  number = {3},
  journaltitle = {Distill},
  shortjournal = {Distill},
  urldate = {2019-03-07},
  date = {2019-03-06},
  pages = {e15},
  author = {Carter, Shan and Armstrong, Zan and Schubert, Ludwig and Johnson, Ian and Olah, Chris},
  file = {/home/dimitri/Nextcloud/Zotero/storage/ZT5ASFQ3/activation-atlas.html}
}

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