The Korea Times
A Kookmin University research team presented a paper at the 29th Annual Conference on Artificial Intelligence and Statistics (AISTATS) held in Morocco, the school said Wednesday. The team, under the guidance of assistant professor Kim Jang-ho of the College of Computer Science, includes Chung Jin-woo, a master’s student, and two undergraduate students, Lee Hyeon-jun and Jo Hyeon-sik, both from the department of AI, big data and management. The school highlighted the significance of presenting the study at AISTATS 2026, which took place in the Moroccan city of Tangier from May 2-5. Since its inception in 1985, AISTATS has been regarded as a premier international conference covering both theoretical and applied research in the field of artificial intelligence (AI). The university said the paper, titled “SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features,” proposes a novel method for improving the performance of quantized models without requiring training labels. A quantized model is a machine learning or deep learning model that uses lower-preci
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