research
∙
05/25/2023
On the Impact of Knowledge Distillation for Model Interpretability
Several recent studies have elucidated why knowledge distillation (KD) i...
share
research
∙
09/30/2022
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions
Black-box models, such as deep neural networks, exhibit superior predict...
research
∙
04/07/2022
Explicit Feature Interaction-aware Graph Neural Networks
Graph neural networks are powerful methods to handle graph-structured da...
research
∙
09/11/2021
Towards a Rigorous Evaluation of Time-series Anomaly Detection
In recent years, proposed studies on time-series anomaly detection (TAD)...
research
∙
02/28/2019
PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation
It is difficult to detect and remove secret images that are hidden in na...
research
∙
01/30/2019
