Wonho Bae

According to our database, Wonho Bae authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context.

Jing Wang, Wonho Bae, Jiahong Chen, Kuangen Zhang, Leonid Sigal, Clarence W. de Silva

Trans. Mach. Learn. Res., 2024

Uncertainty Herding: One Active Learning Method for All Label Budgets.

Wonho Bae, Gabriel L. Oliveira, Danica J. Sutherland

CoRR, 2024

Exploring Active Learning in Meta-learning: Enhancing Context Set Labeling.

Wonho Bae, Jing Wang, Danica J. Sutherland

Proceedings of the Computer Vision - ECCV 2024, 2024

Generalized Coverage for More Robust Low-Budget Active Learning.

Wonho Bae, Junhyug Noh, Danica J. Sutherland

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

AdaFlood: Adaptive Flood Regularization.

Wonho Bae, Yi Ren, Mohamed Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira

CoRR, 2023

A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel.

Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland

Proceedings of the International Conference on Machine Learning, 2023

How to prepare your task head for finetuning.

Yi Ren, Shangmin Guo, Wonho Bae, Danica J. Sutherland

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Meta Temporal Point Processes.

Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Explainable Computer Vision Methods via Uncertainty Activation Map.

Seungyoun Shin, Wonho Bae, Junhyug Noh, Sungjoon Choi

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022

Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels.

Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model.

Wonho Bae, Junhyug Noh, Milad Jalali Asadabadi, Danica J. Sutherland

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Object Discovery via Contrastive Learning for Weakly Supervised Object Detection.

Jinhwan Seo, Wonho Bae, Danica J. Sutherland, Junhyug Noh, Daijin Kim

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

LID 2020: The Learning from Imperfect Data Challenge Results.

Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He

CoRR, 2020

Rethinking Class Activation Mapping for Weakly Supervised Object Localization.

Wonho Bae, Junhyug Noh, Gunhee Kim

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection.

Junhyug Noh, Wonho Bae, Wonhee Lee, Jinhwan Seo, Gunhee Kim

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019