home.social

#classify — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #classify, aggregated by home.social.

  1. The Berlin police are now assessing new threats against the capital's power grid as significantly more serious than previously reported. According to internal d... news.osna.fm/?p=46012 | #news #amid #anarchist #berlin #classify

  2. The Berlin police are now assessing new threats against the capital's power grid as significantly more serious than previously reported. According to internal d... news.osna.fm/?p=46012 | #news #amid #anarchist #berlin #classify

  3. The Berlin police are now assessing new threats against the capital's power grid as significantly more serious than previously reported. According to internal d... news.osna.fm/?p=46012 | #news #amid #anarchist #berlin #classify

  4. The Berlin police are now assessing new threats against the capital's power grid as significantly more serious than previously reported. According to internal d... news.osna.fm/?p=46012 | #news #amid #anarchist #berlin #classify

  5. According to reports from Saxony's Interior Minister, Armin Schuster (CDU), and the responsible public prosecutor's office, the incident that occurred in the ci... news.osna.fm/?p=44431 | #news #amokfahrt #attack #authorities #classify

  6. According to reports from Saxony's Interior Minister, Armin Schuster (CDU), and the responsible public prosecutor's office, the incident that occurred in the ci... news.osna.fm/?p=44431 | #news #amokfahrt #attack #authorities #classify

  7. According to reports from Saxony's Interior Minister, Armin Schuster (CDU), and the responsible public prosecutor's office, the incident that occurred in the ci... news.osna.fm/?p=44431 | #news #amokfahrt #attack #authorities #classify

  8. According to reports from Saxony's Interior Minister, Armin Schuster (CDU), and the responsible public prosecutor's office, the incident that occurred in the ci... news.osna.fm/?p=44431 | #news #amokfahrt #attack #authorities #classify

  9. Dual Representation Learning for Out-of-distribution Detection

    Zhilin Zhao, Longbing Cao

    Action editor: Matthew Blaschko.

    openreview.net/forum?id=PHAr3q

    #discriminative #deep #classify

  10. Dual Representation Learning for Out-of-distribution Detection

    Zhilin Zhao, Longbing Cao

    Action editor: Matthew Blaschko.

    openreview.net/forum?id=PHAr3q

    #discriminative #deep #classify

  11. Dual Representation Learning for Out-of-distribution Detection

    Zhilin Zhao, Longbing Cao

    Action editor: Matthew Blaschko.

    openreview.net/forum?id=PHAr3q

    #discriminative #deep #classify

  12. Dual Representation Learning for Out-of-distribution Detection

    Zhilin Zhao, Longbing Cao

    Action editor: Matthew Blaschko.

    openreview.net/forum?id=PHAr3q

    #discriminative #deep #classify

  13. Dual Representation Learning for Out-of-distribution Detection

    Zhilin Zhao, Longbing Cao

    Action editor: Matthew Blaschko.

    openreview.net/forum?id=PHAr3q

    #discriminative #deep #classify

  14. I have plenty more achievable goals for schizo.social (like multi-account, or #Calckey support) but something I'd love to try is #classifying posts with #machineLearning #tfidf

    I'd like to be able to define "labels" and then train it to identify those on the fly. Then either mute or highlight posts that #classify highly.

    Not so much an #algorithm, as a #filter.

    #ai #ml #webDev #classifier

  15. I have plenty more achievable goals for schizo.social (like multi-account, or #Calckey support) but something I'd love to try is #classifying posts with #machineLearning #tfidf

    I'd like to be able to define "labels" and then train it to identify those on the fly. Then either mute or highlight posts that #classify highly.

    Not so much an #algorithm, as a #filter.

    #ai #ml #webDev #classifier

  16. I have plenty more achievable goals for schizo.social (like multi-account, or #Calckey support) but something I'd love to try is #classifying posts with #machineLearning #tfidf

    I'd like to be able to define "labels" and then train it to identify those on the fly. Then either mute or highlight posts that #classify highly.

    Not so much an #algorithm, as a #filter.

    #ai #ml #webDev #classifier

  17. I have plenty more achievable goals for schizo.social (like multi-account, or support) but something I'd love to try is posts with

    I'd like to be able to define "labels" and then train it to identify those on the fly. Then either mute or highlight posts that highly.

    Not so much an , as a .

  18. I have plenty more achievable goals for schizo.social (like multi-account, or #Calckey support) but something I'd love to try is #classifying posts with #machineLearning #tfidf

    I'd like to be able to define "labels" and then train it to identify those on the fly. Then either mute or highlight posts that #classify highly.

    Not so much an #algorithm, as a #filter.

    #ai #ml #webDev #classifier

  19. #search — on anything but a neat tidy dataset — is also not just an index storage and processing problem; it is a #crawl and #classify problem.

    We need intelligent crawlers that can scan databases, drives, SharePoint, wikis, email, code, chat histories, etc and for each item effectively extract the required metadata and standardize the format for effective indexing.

    I expect this to be a great opportunity for LMs, or LM+Tools. github.com/HazyResearch/evapor is a potential start

  20. #search — on anything but a neat tidy dataset — is also not just an index storage and processing problem; it is a #crawl and #classify problem.

    We need intelligent crawlers that can scan databases, drives, SharePoint, wikis, email, code, chat histories, etc and for each item effectively extract the required metadata and standardize the format for effective indexing.

    I expect this to be a great opportunity for LMs, or LM+Tools. github.com/HazyResearch/evapor is a potential start

  21. #search — on anything but a neat tidy dataset — is also not just an index storage and processing problem; it is a #crawl and #classify problem.

    We need intelligent crawlers that can scan databases, drives, SharePoint, wikis, email, code, chat histories, etc and for each item effectively extract the required metadata and standardize the format for effective indexing.

    I expect this to be a great opportunity for LMs, or LM+Tools. github.com/HazyResearch/evapor is a potential start

  22. #search — on anything but a neat tidy dataset — is also not just an index storage and processing problem; it is a #crawl and #classify problem.

    We need intelligent crawlers that can scan databases, drives, SharePoint, wikis, email, code, chat histories, etc and for each item effectively extract the required metadata and standardize the format for effective indexing.

    I expect this to be a great opportunity for LMs, or LM+Tools. github.com/HazyResearch/evapor is a potential start

  23. Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logist...

    Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann

    openreview.net/forum?id=jM8nzU

    #classification #classify #classifier

  24. Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logist...

    Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann

    openreview.net/forum?id=jM8nzU

    #classification #classify #classifier

  25. Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logist...

    Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann

    openreview.net/forum?id=jM8nzU

    #classification #classify #classifier

  26. Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logist...

    Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann

    openreview.net/forum?id=jM8nzU

    #classification #classify #classifier

  27. Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logist...

    Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann

    openreview.net/forum?id=jM8nzU

    #classification #classify #classifier

  28. KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation

    Chenhong Zhou, Feng Liu, Chen Gong, Rongfei Zeng, Tongliang Liu, William Cheung, Bo Han

    openreview.net/forum?id=5II12y

    #classify #labeled #classifier

  29. KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation

    Chenhong Zhou, Feng Liu, Chen Gong, Rongfei Zeng, Tongliang Liu, William Cheung, Bo Han

    openreview.net/forum?id=5II12y

    #classify #labeled #classifier

  30. KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation

    Chenhong Zhou, Feng Liu, Chen Gong, Rongfei Zeng, Tongliang Liu, William Cheung, Bo Han

    openreview.net/forum?id=5II12y

    #classify #labeled #classifier

  31. KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation

    Chenhong Zhou, Feng Liu, Chen Gong, Rongfei Zeng, Tongliang Liu, William Cheung, Bo Han

    openreview.net/forum?id=5II12y

    #classify #labeled #classifier

  32. KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation

    Chenhong Zhou, Feng Liu, Chen Gong, Rongfei Zeng, Tongliang Liu, William Cheung, Bo Han

    openreview.net/forum?id=5II12y

    #classify #labeled #classifier

  33. #November 22, 1900
    #OTD #Science & #Flowers: Study of the One Does Not Destroy the Love of the Other appeared in The Indianapolis News.

    "Let the #Botanist #Classify and #Name...
    but let him be careful not to do anything to bring into #Contempt the #Love of #Flowers...
    lest we rightly call him dry-as-dust and #Blind to #Beauty."

    #Gardening #Garden #gardeningpodcast #Iamabotanist #plants #Classification #Taxonomy

  34. #November 22, 1900
    #OTD #Science & #Flowers: Study of the One Does Not Destroy the Love of the Other appeared in The Indianapolis News.

    "Let the #Botanist #Classify and #Name...
    but let him be careful not to do anything to bring into #Contempt the #Love of #Flowers...
    lest we rightly call him dry-as-dust and #Blind to #Beauty."

    #Gardening #Garden #gardeningpodcast #Iamabotanist #plants #Classification #Taxonomy

  35. #November 22, 1900
    #OTD #Science & #Flowers: Study of the One Does Not Destroy the Love of the Other appeared in The Indianapolis News.

    "Let the #Botanist #Classify and #Name...
    but let him be careful not to do anything to bring into #Contempt the #Love of #Flowers...
    lest we rightly call him dry-as-dust and #Blind to #Beauty."

    #Gardening #Garden #gardeningpodcast #Iamabotanist #plants #Classification #Taxonomy

  36. #November 22, 1900
    #OTD #Science & #Flowers: Study of the One Does Not Destroy the Love of the Other appeared in The Indianapolis News.

    "Let the #Botanist #Classify and #Name...
    but let him be careful not to do anything to bring into #Contempt the #Love of #Flowers...
    lest we rightly call him dry-as-dust and #Blind to #Beauty."

    #Gardening #Garden #gardeningpodcast #Iamabotanist #plants #Classification #Taxonomy

  37. #November 22, 1900
    #OTD #Science & #Flowers: Study of the One Does Not Destroy the Love of the Other appeared in The Indianapolis News.

    "Let the #Botanist #Classify and #Name...
    but let him be careful not to do anything to bring into #Contempt the #Love of #Flowers...
    lest we rightly call him dry-as-dust and #Blind to #Beauty."

    #Gardening #Garden #gardeningpodcast #Iamabotanist #plants #Classification #Taxonomy