Similar Architectures Boost Distillation Over Distant Ones
@aliteracy shares a finding on knowledge distillation between similar and distant model architectures.
@aliteracy posted that distilling a model into an architecture very close to the teacher performs much better than one very different from it. The tweet mentions learning how to let machines learn and tags @RhodaAI and @Stanford. It presents the observation as a finding from their work. The post supplies no additional data, experiments, or results. Among visible replies on X, no independent confirmation or details appear in the packet.
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3 posts, first seen 8h ago
Similar Architectures Boost Distillation Over Distant Ones
@aliteracy shares a finding on knowledge distillation between similar and distant model architectures.
@aliteracy posted that distilling a model into an architecture very close to the teacher performs much better than one very different from it. The tweet mentions learning how to let machines learn and tags @RhodaAI and @Stanford. It presents the observation as a finding from their work. The post supplies no additional data, experiments, or results. Among visible replies on X, no independent confirmation or details appear in the packet.
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3 postsAL 
ali@aliteracy"we found that distilling a model into an architecture that is very close performs much better than one that is very different to the teacher model."
- likes: 98
- replies: 3
- bookmarks: 8
- reposts: 5
AL ali@aliteracy"we found that distilling a model into an architecture that is very close performs much better than one that is very different to the teacher model."
- likes: 98
- replies: 3
- bookmarks: 8
- reposts: 5
SY