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This is the first and foundational paper that started the research area of More accurate machine learning models often demand more computation and memory at test time, making them difficult to deploy ...
Core Information
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Recent Updates
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Knowledge Distillation Demystified: Techniques and Applications
Knowledge Distillation: A Good Teacher is Patient and Consistent
Distilling the Knowledge in a Neural Network - Geoffrey Hinton
Quantization vs Pruning vs Distillation: Optimizing NNs for Inference
Distilling the Knowledge in a Neural Network
The Magic of LLM Distillation — Rishabh Agarwal, Google DeepMind
Knowledge Distillation in Machine Learning: Full Tutorial with Code
Knowledge Distillation as Semiparametric Inference
A Crash Course on Knowledge Distillation for Computer Vision Models
Detailed Analysis
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Last Updated: June 7, 2026
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