Kang, Wanmo

12 publications

NeurIPS 2025 Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models Byeonghu Na, Minsang Park, Gyuwon Sim, Donghyeok Shin, HeeSun Bae, Mina Kang, Se Jung Kwon, Wanmo Kang, Il-chul Moon

ICLR 2025 Distilling Dataset into Neural Field Donghyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-chul Moon

ICML 2024 Diffusion Rejection Sampling Byeonghu Na, Yeongmin Kim, Minsang Park, Donghyeok Shin, Wanmo Kang, Il-Chul Moon

ICLR 2024 Label-Noise Robust Diffusion Models Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-chul Moon

ICLR 2024 Training Unbiased Diffusion Models from Biased Dataset Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-chul Moon

ICML 2023 Refining Generative Process with Discriminator Guidance in Score-Based Diffusion Models Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon

ICML 2023 SAAL: Sharpness-Aware Active Learning Yoon-Yeong Kim, Youngjae Cho, Joonho Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

NeurIPS 2022 Maximum Likelihood Training of Implicit Nonlinear Diffusion Model Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-chul Moon

ICML 2022 Soft Truncation: A Universal Training Technique of Score-Based Diffusion Model for High Precision Score Estimation Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

AAAI 2021 Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon

ICML 2021 Improved Regret Bounds of Bilinear Bandits Using Action Space Analysis Kyoungseok Jang, Kwang-Sung Jun, Se-Young Yun, Wanmo Kang

ICLR 2020 Mixout: Effective Regularization to Finetune Large-Scale Pretrained Language Models Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang