Transductive Propagation Network for Few-shot Learning. - Yanbin Liu; Juho Lee 001; Minseop Park; Saehoon Kim; Yi Yang 001 (CoRR, 2018)

Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. - Yanbin Liu; Juho Lee 001; Minseop Park; Saehoon Kim; Eunho Yang; Sung Ju Hwang; Yi Yang 001 (ICLR (Poster), 2019)

MxML: Mixture of Meta-Learners for Few-Shot Classification. - Minseop Park; Jungtaek Kim 001; Saehoon Kim; Yanbin Liu; Seungjin Choi (CoRR, 2019)

Classifying heart conditions based on class probability output networks. - Han Bin Bae; Minseop Park; Rhee Man Kil; Hee Yong Youn (Neurocomputing, 2019)

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. - Haebeom Lee; Hayeon Lee; Donghyun Na; Saehoon Kim; Minseop Park; Eunho Yang; Sung Ju Hwang (ICLR, 2020)

Quadapter: Adapter for GPT-2 Quantization. - Minseop Park; Jaeseong You; Markus Nagel; Simyung Chang (EMNLP (Findings), 2022)

How to Parameterize Asymmetric Quantization Ranges for Quantization-Aware Training. - Jaeseong You; Minseop Park; Kyunggeun Lee; Seokjun An; Chirag Patel; Markus Nagel (CoRR, 2024)