Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification

Luyang Fang; Yongkai Chen; Wenxuan Zhong; Ping Ma

2024 ICML ICML 2024

Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Luyang Fang, Yongkai Chen, Wenxuan Zhong, Ping Ma

Topics

Artificial Intelligence > Core AI > Interpretability Machine Learning > Optimization & Theory > Bayesian Inference Machine Learning > Application Areas > Efficient Computing

Keywords

uncertainty quantification posterior mode credible interval bayesian knowledge distillation predicted class probabilities stochastic gradient langevin monte carlo

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