Row 55825

Row ID: 55825 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 55825 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I'm not sure how likely this is, but yesterday I found a research paper that discussed the benefits of using an embedded layer in the architecture of a neural network, over the technique of one-hot encoding a "unique identifier" column, specifically in the arena of federated learning as a way to add a "personalized" component without dramatically increasing the size of dataset (and subsequent test sets).

Well, now I can't find it and crazily the page does not appear in my browsers search history! Again, I know this is a long shot but if anyone is aware of this paper or knows of a way I could reliably search for it, I'd be very appreciative! Googling several different queries has yielding nothing specific to an embedded NN layer, only the concept of embedding at a high level.

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text I'm not sure how likely this is, but yesterday I found a research paper that discussed the benefits of using an embedded layer in the architecture of a neural network, over the technique of one-hot encoding a "unique identifier" column, specifically in the arena of federated learning as a way to add a "personalized" component without dramatically increasing the size of dataset (and subsequent test sets). Well, now I can't find it and crazily the page does not appear in my browsers search histor…
label r/datascience
dataType post
communityName r/datascience
datetime 2024-05-23
username_encoded Z0FBQUFBQm5Lak1XQm14a2xNb3kxZVM5VWhLT1h4cUctc2lGSDdWSjNDYXBraHpNRGtGbExneUpLUms2SGpiTzVDOFYyblJPa2IwTkNSWm9XYVI0SWhMMjR5Y29fR1dFS0E9PQ==
url_encoded Z0FBQUFBQm5Lak9sMHNMVEFLN18wM3R6VjFuN1hFdEJWM0FZQm5pSHRMeDVuTjlSa3gwS01ZSGNpRXJPMDdKS2JwSDdBTVRGY3RHejhXNDdXcHNYRUJfMXdBTnotZmtRRlJwb1pKbnc5RHdsVWw4VjBXTGlqNGFOY1NLTzdrY3VhdlcyS2RVVDVrOU1OcDdxb09fUGdkVlpwakl5elJyWUNscUFOb2U1UGZzNVE5eUVUdzFOTFA5Yl8tSVJlMThPSDdybW13ODY5Rmcw

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{
  "text": "I'm not sure how likely this is, but yesterday I found a research paper that discussed the benefits of using an embedded layer in the architecture of a neural network, over the technique of one-hot encoding a \"unique identifier\" column, specifically in the arena of federated learning as a way to add a \"personalized\" component without dramatically increasing the size of dataset (and subsequent test sets).\n\nWell, now I can't find it and crazily the page does not appear in my browsers search history! Again, I know this is a long shot but if anyone is aware of this paper or knows of a way I could reliably search for it, I'd be very appreciative! Googling several different queries has yielding nothing specific to an embedded NN layer, only the concept of embedding at a high level. ",
  "label": "r/datascience",
  "dataType": "post",
  "communityName": "r/datascience",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1XQm14a2xNb3kxZVM5VWhLT1h4cUctc2lGSDdWSjNDYXBraHpNRGtGbExneUpLUms2SGpiTzVDOFYyblJPa2IwTkNSWm9XYVI0SWhMMjR5Y29fR1dFS0E9PQ==",
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}
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