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Hyun-Soo Choi

3 accepted papers

2023

On the Impact of Knowledge Distillation for Model Interpretability

ICML 2023poster

Several recent studies have elucidated why knowledge distillation (KD) improves model performance. However, few have researched the other advantages of KD in addition to its improving model performance. In this study, we have attempted to show that KD enhances the interpretability as well as the acc…

2022

Towards a Rigorous Evaluation of Time-Series Anomaly Detection

AAAI 2022technical

In recent years, proposed studies on time-series anomaly detection (TAD) report high F1 scores on benchmark TAD datasets, giving the impression of clear improvements in TAD. However, most studies apply a peculiar evaluation protocol called point adjustment (PA) before scoring. In this paper, we theo…

2017

Deep Recurrent Neural Network-Based Identification of Precursor microRNAs

NeurIPS 2017poster

MicroRNAs (miRNAs) are small non-coding ribonucleic acids (RNAs) which play key roles in post-transcriptional gene regulation. Direct identification of mature miRNAs is infeasible due to their short lengths, and researchers instead aim at identifying precursor miRNAs (pre-miRNAs). Many of the known…