René's URL Explorer Experiment


Title: Won's Page

Open Graph Title: Won's Page

Description: AI/ML Resident

Open Graph Description: AI/ML Resident

Mail addresses
bwh0324@gmail.com

Opengraph URL: https://won-bae.github.io/

Generator: Source Themes Academic 4.5.0

direct link

Domain: won-bae.github.io


Hey, it has json ld scripts:

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NoneIE=edge
authorWonho Bae
theme-color#2962ff
twitter:cardsummary
og:site_nameWon's Page
og:imagehttps://won-bae.github.io/img/icon-192.png
twitter:imagehttps://won-bae.github.io/img/icon-192.png
og:localeen-us
og:updated_time2025-07-18T00:00:00+00:00

Links:

https://won-bae.github.io
Won's Pagehttps://won-bae.github.io/
Homehttps://won-bae.github.io/#about
Publicationshttps://won-bae.github.io/#publications
Contacthttps://won-bae.github.io/#contact
CVhttps://won-bae.github.io/files/cv.pdf
https://won-bae.github.io
https://won-bae.github.io/#contact
https://www.linkedin.com/in/wonho-bae
https://github.com/won-bae
https://won-bae.github.io/files/resume.pdf
Prof. Danica J. Sutherlandhttps://djsutherland.ml/
Borealis AIhttps://www.borealisai.com/
Gabriel L. Oliveirahttps://sites.google.com/view/gabriel-leivas-oliveira/home
Fred Tunghttps://scholar.google.ca/citations?user=T4EeZ9gAAAAJ&hl=en
Giyeong Ohhttps://won-bae.github.io/authors/giyeong-oh/
Junghyun Leehttps://won-bae.github.io/authors/junghyun-lee/
Jaehyun Parkhttps://won-bae.github.io/authors/jaehyun-park/
Youngjae Yuhttps://won-bae.github.io/authors/youngjae-yu/
Wonho Bae*https://won-bae.github.io/authors/strongwonho-bae/strong/
Junhyug Noh*https://won-bae.github.io/authors/junhyug-noh/
Random Is Hard to Beat: Active Selection in Online DPO with Modern LLMshttps://won-bae.github.io/publication/oh-2026-random/
PDFhttps://arxiv.org/pdf/2604.02766
Jing Wanghttps://won-bae.github.io/authors/jing-wang/
Wonho Baehttps://won-bae.github.io/authors/strongwonho-bae/strong/
Jiahong Chenhttps://won-bae.github.io/authors/jiahong-chen/
Wenxu Wanghttps://won-bae.github.io/authors/wenxu-wang/
Junhyug Nohhttps://won-bae.github.io/authors/junhyug-noh/
Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptationhttps://won-bae.github.io/publication/wang-2025-vicinity/
PDFhttps://proceedings.neurips.cc/paper_files/paper/2025/file/d7152995e5e9ab9ce7dccee054f03dc0-Paper-Conference.pdf
Jeongin Kimhttps://won-bae.github.io/authors/jeongin-kim/
Wonho Baehttps://won-bae.github.io/authors/strongwonho-bae/strong/
Youlee Hanhttps://won-bae.github.io/authors/youlee-han/
Giyeong Ohhttps://won-bae.github.io/authors/giyeong-oh/
Youngjae Yuhttps://won-bae.github.io/authors/youngjae-yu/
Danica J. Sutherlandhttps://won-bae.github.io/authors/danica-j.-sutherland/
Junhyug Nohhttps://won-bae.github.io/authors/junhyug-noh/
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentationhttps://won-bae.github.io/publication/kim-2025-diffusion/
PDFhttps://proceedings.neurips.cc/paper_files/paper/2025/file/208c5f815d330f6ca13df32dea63d735-Paper-Conference.pdf
Jihyun Yuhttps://won-bae.github.io/authors/jihyun-yu/
Yoojin Ohhttps://won-bae.github.io/authors/yoojin-oh/
Wonho Baehttps://won-bae.github.io/authors/strongwonho-bae/strong/
Mingyu Kim*https://won-bae.github.io/authors/mingyu-kim/
Junhyug Noh*https://won-bae.github.io/authors/junhyug-noh/
SteeringTTA: Guiding Diffusion Trajectories for Robust Test-Time-Adaptationhttps://won-bae.github.io/publication/yu-2025-steering/
PDFhttps://openreview.net/pdf?id=iV0WBCDGcx
Wonho Baehttps://won-bae.github.io/authors/strongwonho-bae/strong/
Gabriel L. Oliveira*https://won-bae.github.io/authors/gabriel-l.-oliveira/
Danica J. Sutherland*https://won-bae.github.io/authors/danica-j.-sutherland/
Uncertainty Herding: One Active Learning Method for All Label Budgetshttps://won-bae.github.io/publication/bae-2025-uherding/
PDF https://openreview.net/forum?id=UgPoHhYQ2U
Wonho Baehttps://won-bae.github.io/authors/strongwonho-bae/strong/
Jing Wanghttps://won-bae.github.io/authors/jing-wang/
Danica J. Sutherlandhttps://won-bae.github.io/authors/danica-j.-sutherland/
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labelinghttps://won-bae.github.io/publication/bae-2024-active-meta/
PDF https://arxiv.org/abs/2311.02879
Wonho Baehttps://won-bae.github.io/authors/strongwonho-bae/strong/
Junhyug Nohhttps://won-bae.github.io/authors/junhyug-noh/
Danica J. Sutherlandhttps://won-bae.github.io/authors/danica-j.-sutherland/
Generalized Coverage for More Robust Low-Budget Active Learninghttps://won-bae.github.io/publication/bae-2024-maxherding/
PDF https://arxiv.org/abs/2407.12212
Jing Wanghttps://won-bae.github.io/authors/jing-wang/
Wonho Baehttps://won-bae.github.io/authors/strongwonho-bae/strong/
Jiahong Chenhttps://won-bae.github.io/authors/jiahong-chen/
Kuangen Zhanghttps://won-bae.github.io/authors/kuangen-zhang/
Leonid Sigalhttps://won-bae.github.io/authors/leonid-sigal/
Clarence W. de Silvahttps://won-bae.github.io/authors/clarence-w.-de-silva/
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Contexthttps://won-bae.github.io/publication/jing-2024-adaptation/
PDF https://openreview.net/pdf?id=iulMde3dP1
Mohamad Amin Mohamadihttps://won-bae.github.io/authors/mohamad-amin-mohamadi/
Wonho Baehttps://won-bae.github.io/authors/strongwonho-bae/strong/
Danica J. Sutherlandhttps://won-bae.github.io/authors/danica-j.-sutherland/
A fast, well-founded approximation to the empirical neural tangent kernelhttps://won-bae.github.io/publication/amin-2024-entk/
PDF https://arxiv.org/pdf/2206.12543
Wonho Baehttps://won-bae.github.io/authors/strongwonho-bae/strong/
Mohamed Osama Ahmedhttps://won-bae.github.io/authors/mohamed-osama-ahmed/
Frederick Tunghttps://won-bae.github.io/authors/frederick-tung/
Gabriel L. Oliveirahttps://won-bae.github.io/authors/gabriel-l.-oliveira/
Meta Temporal Point Processeshttps://won-bae.github.io/publication/bae-2023-metatpp/
PDF https://openreview.net/forum?id=QZfdDpTX1uM&referrer=%5BAuthor%20Console%5D%28%2Fgroup%3Fid%3DICLR.cc%2F2023%2FConference%2FAuthors%23your-submissions%29
Yi Renhttps://won-bae.github.io/authors/yi-ren/
Shangmin Guohttps://won-bae.github.io/authors/shangmin-guo/
Wonho Baehttps://won-bae.github.io/authors/strongwonho-bae/strong/
Danica J. Sutherlandhttps://won-bae.github.io/authors/danica-j.-sutherland/
How to Prepare Your Task Head for Finetuninghttps://won-bae.github.io/publication/ren-2023-finetune/
PDF https://openreview.net/forum?id=gVOXZproe-e&referrer=%5BAuthor%20Console%5D%28%2Fgroup%3Fid%3DICLR.cc%2F2023%2FConference%2FAuthors%23your-submissions%29
Mohamad Amin Mohamadi*https://won-bae.github.io/authors/mohamad-amin-mohamadi/
Wonho Bae*https://won-bae.github.io/authors/strongwonho-bae/strong/
Danica J. Sutherlandhttps://won-bae.github.io/authors/danica-j.-sutherland/
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernelshttps://won-bae.github.io/publication/mohamadi-2022-making/
PDF https://arxiv.org/pdf/2206.12569.pdf
Jinhwan Seohttps://won-bae.github.io/authors/jinhwan-seo/
Wonho Baehttps://won-bae.github.io/authors/strongwonho-bae/strong/
Danica J. Sutherlandhttps://won-bae.github.io/authors/danica-j.-sutherland/
Junhyug Nohhttps://won-bae.github.io/authors/junhyug-noh/
Daijin Kimhttps://won-bae.github.io/authors/daijin-kim/
Object Discovery via Contrastive Learning for Weakly Supervised Object Detectionhttps://won-bae.github.io/publication/seo-2022-cl-wsod/
PDF https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136910302.pdf
Wonho Baehttps://won-bae.github.io/authors/strongwonho-bae/strong/
Junhyug Nohhttps://won-bae.github.io/authors/junhyug-noh/
Milad Jalali Asadabadihttps://won-bae.github.io/authors/milad-jalali-asadabadi/
Danica J. Sutherlandhttps://won-bae.github.io/authors/danica-j.-sutherland/
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Modelhttps://won-bae.github.io/publication/bae-2022-one/
PDF https://arxiv.org/pdf/2205.01233.pdf
Junhyug Nohhttps://won-bae.github.io/authors/junhyug-noh/
Kyung Don Yoohttps://won-bae.github.io/authors/kyung-don-yoo/
Wonho Baehttps://won-bae.github.io/authors/strongwonho-bae/strong/
Jong Soo Leehttps://won-bae.github.io/authors/jong-soo-lee/
Kangil Kimhttps://won-bae.github.io/authors/kangil-kim/
Jang-Hee Chohttps://won-bae.github.io/authors/jang-hee-cho/
Hajeong Leehttps://won-bae.github.io/authors/hajeong-lee/
Dong Ki Kimhttps://won-bae.github.io/authors/dong-ki-kim/
Chun Soo Limhttps://won-bae.github.io/authors/chun-soo-lim/
Shin-Wook Kanghttps://won-bae.github.io/authors/shin-wook-kang/
othershttps://won-bae.github.io/authors/others/
Prediction of the mortality risk in peritoneal dialysis patients using machine learning models: a nation-wide prospective cohort in Koreahttps://won-bae.github.io/publication/noh-2020-prediction/
PDF https://www.nature.com/articles/s41598-020-64184-0
Wonho Bae*https://won-bae.github.io/authors/strongwonho-bae/strong/
Junhyug Noh*https://won-bae.github.io/authors/junhyug-noh/
Gunhee Kimhttps://won-bae.github.io/authors/gunhee-kim/
Rethinking class activation mapping for weakly supervised object localizationhttps://won-bae.github.io/publication/bae-2020-rethinking/
PDF https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123600613.pdf
Junhyug Nohhttps://won-bae.github.io/authors/junhyug-noh/
Wonho Baehttps://won-bae.github.io/authors/strongwonho-bae/strong/
Wonhee Leehttps://won-bae.github.io/authors/wonhee-lee/
Jinhwan Seohttps://won-bae.github.io/authors/jinhwan-seo/
Gunhee Kimhttps://won-bae.github.io/authors/gunhee-kim/
Better to follow, follow to be better: Towards precise supervision of feature super-resolution for small object detectionhttps://won-bae.github.io/publication/noh-2019-better/
PDF http://openaccess.thecvf.com/content_ICCV_2019/papers/Noh_Better_to_Follow_Follow_to_Be_Better_Towards_Precise_Supervision_ICCV_2019_paper.pdf
Academic themehttps://sourcethemes.com/academic/
Hugohttps://gohugo.io
https://won-bae.github.io
Copy https://won-bae.github.io
Download https://won-bae.github.io

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