Jae Myung Kim
Jae Myung Kim
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Exploring linearity of deep neural network trained QSM: QSMnet+
W Jung, J Yoon, S Ji, JY Choi, JM Kim, Y Nam, EY Kim, J Lee
Neuroimage 211, 116619, 2020
Large Loss Matters in Weakly Supervised Multi-Label Classification
Y Kim*, JM Kim*, Z Akata, J Lee
CVPR 2022, 2022
Keep CALM and Improve Visual Feature Attribution
JM Kim*, J Choe*, Z Akata, SJ Oh
ICCV 2021, 2021
Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval
JM Kim, A Koepke, C Schmid, Z Akata
CVPRW MULA 2023, 2023
Sampling-based bayesian inference with gradient uncertainty
C Park, JM Kim, SH Ha, J Lee
NeurIPS Workshop on Bayesian Deep Learning, 2018, 2018
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts
K Roth*, JM Kim*, A Koepke, O Vinyals, C Schmid, Z Akata
ICCV 2023, 2023
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification
Y Kim, JM Kim, J Jeong, C Schmid, Z Akata, J Lee
CVPR 2023, 2023
Posterior Annealing: Fast Calibrated Uncertainty for Regression
U Upadhyay, JM Kim, C Schmidt, B Schölkopf, Z Akata
arXiv preprint arXiv:2302.11012, 2023
Distributional Prototypical Methods for Reliable Explanation Space Construction
H Joo, JM Kim, H Han, J Lee
IEEE Access, 2023
REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation
JM Kim*, H Kim*, C Park*, J Lee
AAAI 2020, 2020
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Articles 1–10