Ching-Hsun Tseng

EA-KD: Entropy-based Adaptive Knowledge Distillation

Knowledge distillation (KD) enables a smaller "student" model to mimic a larger "teacher" model by transferring knowledge from the teacher's output or features. However, most KD methods treat all samples uniformly, overlooking the varying learning value of each sample and thereby limiting effectiven…