Row 6960

Row ID: 6960 | Dataset Entry | Axioma AXP Content Repository

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I'm working on a project to train a binary multi-modal classifier for predicting fashion trends. Since fashion trends tend to have seasonal patterns, I want to use a retrieval-augmented classification setting. This way, whenever a new trend emerges, I can incorporate new features into my retrieval dataset and improve the model's precision. Additionally, I'd like the ability to override the model's decisions based on high similarity in the retrieval dataset. Can anyone recommend relevant papers or techniques for this approach? Any guidance or resources would be greatly appreciated!

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text I'm working on a project to train a binary multi-modal classifier for predicting fashion trends. Since fashion trends tend to have seasonal patterns, I want to use a retrieval-augmented classification setting. This way, whenever a new trend emerges, I can incorporate new features into my retrieval dataset and improve the model's precision. Additionally, I'd like the ability to override the model's decisions based on high similarity in the retrieval dataset. Can anyone recommend relevant papers o…
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-14
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{
  "text": "I'm working on a project to train a binary multi-modal classifier for predicting fashion trends. Since fashion trends tend to have seasonal patterns, I want to use a retrieval-augmented classification setting. This way, whenever a new trend emerges, I can incorporate new features into my retrieval dataset and improve the model's precision. Additionally, I'd like the ability to override the model's decisions based on high similarity in the retrieval dataset. Can anyone recommend relevant papers or techniques for this approach? Any guidance or resources would be greatly appreciated!",
  "label": "r/deeplearning",
  "dataType": "post",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-14",
  "username_encoded": "Z0FBQUFBQm5Lakwza05OcDVrRHgtTzlod3B0QnpnWVJwOVNnV1JKcjhSRm5vaUN4OVZZMk04OUlrVGNJRm5OaW55dmJfY2YtQUpYaHd6TDZPc1FIUUs2alVWNEtnZGVyeUE9PQ==",
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}
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