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2020 – today
- 2024
[i5]Jaeseong You, Minseop Park, Kyunggeun Lee, Seokjun An, Chirag Patel, Markus Nagel:
How to Parameterize Asymmetric Quantization Ranges for Quantization-Aware Training. CoRR abs/2404.16898 (2024)- 2022
- [c3]Minseop Park, Jaeseong You, Markus Nagel, Simyung Chang:
Quadapter: Adapter for GPT-2 Quantization. EMNLP (Findings) 2022: 2510-2517 - [i4]Minseop Park, Jaeseong You, Markus Nagel, Simyung Chang:
Quadapter: Adapter for GPT-2 Quantization. CoRR abs/2211.16912 (2022) - 2020
- [c2]Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang:
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. ICLR 2020
2010 – 2019
- 2019
- [j1]Han Bin Bae, Minseop Park, Rhee Man Kil, Hee Yong Youn
:
Classifying heart conditions based on class probability output networks. Neurocomputing 360: 198-208 (2019) - [c1]Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang:
Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. ICLR (Poster) 2019 - [i3]Minseop Park, Jungtaek Kim, Saehoon Kim, Yanbin Liu, Seungjin Choi:
MxML: Mixture of Meta-Learners for Few-Shot Classification. CoRR abs/1904.05658 (2019) - [i2]Donghyun Na, Haebeom Lee, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang:
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. CoRR abs/1905.12917 (2019) - 2018
- [i1]Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Yi Yang:
Transductive Propagation Network for Few-shot Learning. CoRR abs/1805.10002 (2018)
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