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Wonho Bae
Wonho Bae
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Title
Cited by
Cited by
Year
Better to Follow, Follow to be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection
J Noh, W Bae, W Lee, J Seo, G Kim
International Conference on Computer Vision (ICCV), 9725-9734, 2019
3122019
Rethinking Class Activation Mapping for Weakly Supervised Object Localization
W Bae*, J Noh*, G Kim
European Conference on Computer Vision (ECCV), 618-634, 2020
1412020
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection
J Seo, W Bae, DJ Sutherland, J Noh*, D Kim*
European Conference on Computer Vision (ECCV), 312-329, 2022
562022
A fast, well-founded approximation to the empirical neural tangent kernel
MA Mohamadi, W Bae, DJ Sutherland
International Conference on Machine Learning (ICML), 25061-25081, 2023
422023
Prediction of the mortality risk in peritoneal dialysis patients using machine learning models: a nation-wide prospective cohort in Korea
J Noh, KD Yoo, W Bae, JS Lee, K Kim, JH Cho, H Lee, DK Kim, CS Lim, ...
Scientific reports 10 (1), 7470, 2020
422020
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
MA Mohamadi*, W Bae*, DJ Sutherland
Neural Information Processing Systems (NeurIPS), 2022
402022
Meta Temporal Point Processes
W Bae, MO Ahmed, F Tung, GL Oliveira
International Conference on Learning Representations (ICLR), 2023
282023
How to prepare your task head for finetuning
Y Ren, S Guo, W Bae, DJ Sutherland
International Conference on Learning Representations (ICLR), 2023
262023
Generalized Coverage for More Robust Low-Budget Active Learning
W Bae, J Noh, DJ Sutherland
European Conference on Computer Vision (ECCV), 2024
92024
Uncertainty Herding: One Active Learning Method for All Label Budgets
W Bae, GL Oliveira, DJ Sutherland
International Conference on Learning Representations (ICLR), 2025
82025
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context
J Wang, W Bae, J Chen, K Zhang, L Sigal, CW de Silva
Transactions on Machine Learning Research (TMLR), 2024
82024
Predicting outcomes of continuous renal replacement therapy using body composition monitoring: a deep-learning approach
KD Yoo, J Noh, W Bae, JN An, HJ Oh, H Rhee, EY Seong, SH Baek, ...
Scientific Reports 13 (1), 4605, 2023
72023
Predicting early mortality in hemodialysis patients: a deep learning approach using a nationwide prospective cohort in South Korea
J Noh, SY Park, W Bae, K Kim, JH Cho, JS Lee, SW Kang, YL Kim, ...
Scientific reports 14 (1), 29658, 2024
62024
AdaFlood: Adaptive Flood Regularization
W Bae, Y Ren, MO Ahmed, F Tung, DJ Sutherland, GL Oliveira
Transactions on Machine Learning Research (TMLR), 2023
52023
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model
W Bae, J Noh, MJ Asadabadi, DJ Sutherland
International Joint Conference on Artificial Intelligence (IJCAI), 2022
52022
LID 2020: The learning from imperfect data challenge results
Y Wei, S Zheng, MM Cheng, H Zhao, L Wang, E Ding, Y Yang, A Torralba, ...
The 2020 Learning from Imperfect Data (LID) Challenge - CVPR Workshop, 2020
32020
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling
W Bae, J Wang, DJ Sutherland
European Conference on Computer Vision (ECCV), 2024
22024
Revisiting Class Activation Mapping for Learning from Imperfect Data
W Bae, J Noh, J Seo, G Kim
The 2020 Learning from Imperfect Data (LID) Challenge - CVPR Workshop, 2020
22020
Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation
J Wang, W Bae, J Chen, W Wang, J Noh
Neural Information Processing Systems (NeurIPS), 2025
2025
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
J Kim, W Bae, YL Han, G Oh, Y Yu, DJ Sutherland, J Noh
Neural Information Processing Systems (NeurIPS), 2025
2025
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Articles 1–20