Beyond image classification: zooplankton identification with deep vector space embeddings. - Ketil Malde; Hyeongji Kim (CoRR, 2019)

Proper measure for adversarial robustness. - Hyeongji Kim; Ketil Malde (CoRR, 2020)

Distance-Ratio-Based Formulation for Metric Learning. - Hyeongji Kim; Pekka Parviainen; Ketil Malde (CoRR, 2022)

Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary. - Hyeongji Kim; Pekka Parviainen; Ketil Malde (NLDL, 2023)

Inspecting class hierarchies in classification-based metric learning models. - Hyeongji Kim; Pekka Parviainen; Terje Berge; Ketil Malde (CoRR, 2023)

ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation. - Hyeongji Kim; Changkyu Choi; Michael Kampffmeyer; Terje Berge; Pekka Parviainen; Ketil Malde (ECCV Workshops (17), 2024)

Tied Prototype Model for Few-Shot Medical Image Segmentation. - Hyeongji Kim; Stine Hansen; Michael Kampffmeyer (CoRR, 2025)