Row 40672

Row ID: 40672 | Dataset Entry | Axioma AXP Content Repository

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I've had similar experiences and have been pondering the reason for a while. I suspect one contributing factor could be the use of Patch Embedding. This seems to have led to many researchers exploring the use of Convolutional Neural Networks (CNNs) as an alternative to Patch Embedding. For instance, some approaches utilize the output of the 3rd block from ResNet-18 as the embedding for their Transformer blocks.

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text I've had similar experiences and have been pondering the reason for a while. I suspect one contributing factor could be the use of Patch Embedding. This seems to have led to many researchers exploring the use of Convolutional Neural Networks (CNNs) as an alternative to Patch Embedding. For instance, some approaches utilize the output of the 3rd block from ResNet-18 as the embedding for their Transformer blocks.
label r/deeplearning
dataType comment
communityName r/deeplearning
datetime 2024-05-22
username_encoded Z0FBQUFBQm5Lak1NR0ttaTlPSnUwc3JfWThYLUN4REZjRlZwa1pjNlN0djFHdDdFVUM1YzNpTE9PazVXUl9LaV85Ymg5ZzdGOERnY1dJdG93ODZfWXI4U2Y4bzlya1JYWkE9PQ==
url_encoded Z0FBQUFBQm5Lak9iN294cWFSVHpoZ2NjMTZZVWlOQWZqeU5ZN0lxTkxNU0JQMDhQc1VwcDAzTG9qMWk3V19QVlpZZlhTMHdlWFFZbnFxSnRhcDJ2VFJGVjA0SkVOZ2RBUHM0NU9tZjYwV21ZRWdodzBVUHVzNVFSNl9qX3JOVF9NUS15U3loY3h1dUczelVVamVZRGFMLUpyaG1oUmtRQ01ycmNMYlJ3d2pLN05PNEQ4UVhwNEtSVmt1WjFWakVpZU9FZmtHZGh5MHdBaHcxQmMxN09LM3MtbVBZMklzSE1lQT09

Raw Record

{
  "text": "I've had similar experiences and have been pondering the reason for a while. I suspect one contributing factor could be the use of Patch Embedding. This seems to have led to many researchers exploring the use of Convolutional Neural Networks (CNNs) as an alternative to Patch Embedding. For instance, some approaches utilize the output of the 3rd block from ResNet-18 as the embedding for their Transformer blocks.",
  "label": "r/deeplearning",
  "dataType": "comment",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-22",
  "username_encoded": "Z0FBQUFBQm5Lak1NR0ttaTlPSnUwc3JfWThYLUN4REZjRlZwa1pjNlN0djFHdDdFVUM1YzNpTE9PazVXUl9LaV85Ymg5ZzdGOERnY1dJdG93ODZfWXI4U2Y4bzlya1JYWkE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9iN294cWFSVHpoZ2NjMTZZVWlOQWZqeU5ZN0lxTkxNU0JQMDhQc1VwcDAzTG9qMWk3V19QVlpZZlhTMHdlWFFZbnFxSnRhcDJ2VFJGVjA0SkVOZ2RBUHM0NU9tZjYwV21ZRWdodzBVUHVzNVFSNl9qX3JOVF9NUS15U3loY3h1dUczelVVamVZRGFMLUpyaG1oUmtRQ01ycmNMYlJ3d2pLN05PNEQ4UVhwNEtSVmt1WjFWakVpZU9FZmtHZGh5MHdBaHcxQmMxN09LM3MtbVBZMklzSE1lQT09"
}
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