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2020 – today
- 2024
[c8]Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon:
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach. ACL (1) 2024: 791-809- [c7]Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon:
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. ICLR 2024 - [c6]Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon:
DAFA: Distance-Aware Fair Adversarial Training. ICLR 2024 - [i11]Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon:
On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss. CoRR abs/2401.10526 (2024) - [i10]Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon:
DAFA: Distance-Aware Fair Adversarial Training. CoRR abs/2401.12532 (2024) - [i9]Juhyeon Shin, Jonghyun Lee, Saehyung Lee, Minjun Park, Dongjun Lee, Uiwon Hwang, Sungroh Yoon:
Gradient Alignment with Prototype Feature for Fully Test-time Adaptation. CoRR abs/2402.09004 (2024) - [i8]Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon:
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. CoRR abs/2403.07366 (2024) - [i7]Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon:
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach. CoRR abs/2406.03411 (2024) - [i6]Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon:
Textual Training for the Hassle-Free Removal of Unwanted Visual Data. CoRR abs/2409.19840 (2024) - 2023
- [c5]Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon:
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. NeurIPS 2023 - [c4]Saehyung Lee, Hyungyu Lee:
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training. WACV 2023: 4540-4549 - [i5]Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon:
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. CoRR abs/2310.16492 (2023) - 2022
- [c3]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. ICML 2022: 12352-12364 - [i4]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. CoRR abs/2202.02916 (2022) - [i3]Saehyung Lee, Hyungyu Lee:
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training. CoRR abs/2209.14053 (2022) - 2021
- [c2]Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon:
Removing Undesirable Feature Contributions Using Out-of-Distribution Data. ICLR 2021 - [i2]Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee
, Sungroh Yoon:
Removing Undesirable Feature Contributions Using Out-of-Distribution Data. CoRR abs/2101.06639 (2021) - 2020
- [c1]Saehyung Lee, Hyungyu Lee, Sungroh Yoon:
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. CVPR 2020: 269-278 - [i1]Saehyung Lee, Hyungyu Lee, Sungroh Yoon:
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. CoRR abs/2003.02484 (2020)
Coauthor Index
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