Wenxuan Zhong
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126
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2026
Multi-Teacher Knowledge Distillation via Teacher-Informed Mixture Priors
The paper proposes Multi-Teacher Bayesian Knowledge Distillation (MT-BKD), a framework that uses Bayesian inference and teacher-informed priors to improve model compression, enhance predictive accuracy, and quantify uncertainty when distilling knowledge from multiple expert models.
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stat.MEcs.AIcs.LGRecentMay 27, 2026
Multi-Teacher Knowledge Distillation via Teacher-Informed Mixture Priors
Luyang Fang, Yongkai Chen, Jiazhang Cai, Ping Ma +1 more
The paper proposes Multi-Teacher Bayesian Knowledge Distillation (MT-BKD), a framework that uses Bayesian inference and teacher-informed priors to improve model compression, enhance predictive accurac…
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