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Browse "Kim Jaechul Graduate School of AI(김재철AI대학원)" by Issue Date 

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Showing results 1 to 20 of 1369

1
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation

Ye, Jong Chul; Kim, kwanyoung; Oh, Yujin, The 18th European Conference on Computer Vision, ECCV 2024, European Computer Vision Association (ECVA), 2024-10

2
Magnitude and angle dynamics in training single ReLU neurons

Lee, Sangmin; Sim, Byeongsu; Ye, Jong Chul, NEURAL NETWORKS, v.178, 2024-10

3
Targeted Model Inversion: Distilling style encoded in predictions

Jeong, Hoyong; Chung, Kiwon; Hwang, Sung Ju; Son, Sooel, COMPUTERS SECURITY, v.144, 2024-09

4
Fine-tuning Pre-trained Models for Robustness Under Noisy Labels

Sumyeong Ahn; Sihyeon Kim; Jongwoo Ko; Yun, Seyoung, International Joint Conference on Artificial Intelligence, IJCAI, 2024-08-09

5
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving NeRFs from Sparse Inputs

Kim, Mingyu; Kim Jun-Seong; Yun, Se-Young; Jin-Hwa Kim, International Conference on Machine Learning, ICML, 2024-07-24

6
DistiLLM: Towards Streamlined Distillation for Large Language Models

Jongwoo Ko; Sungnyun Kim; Tianyi Chen; Yun, Seyoung, The Forty-first International Conference on Machine Learning, ICML, 2024-07-23

7
Representative and Back-In-Time Sampling from Real-world Hypergraphs

Choe, Min Young; Yoo, Jaemin; Lee, Geon; Baek, Woonsung; Kang, U; Shin, Kijung, ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, v.18, no.6, 2024-07

8
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning

LEE, GIHUN; Minchan Jeong; SangMook Kim; Jaehoon Oh; Yun, Seyoung, The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024, IEEE/CVF, 2024-06-20

9
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models

Yujin Kim; Jaehong Yoon; Seonghyeon Ye; Sangmin Bae; Namgyu Ho; Sung Ju Hwang; Yun, Seyoung, 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL, 2024-06-17

10
Deep learning model for heavy rainfall nowcasting in South Korea

Oh, Seok-Geun; Son, Seok-Woo; Kim, Young-Ha; Park, Chanil; Ko, Jihoon; Shin, Kijung; Ha, Ji-Hoon; et al, WEATHER AND CLIMATE EXTREMES, v.44, 2024-06

11
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models

Ye, Jong Chul; KWON, GIHYUN; Simon Jenni; Dingzeyu Li; Joon-Young Lee; Fabian Caba Heilbron, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, IEEE Computer Society, 2024-06

12
Self-supervised debiasing using low rank regularization

Ye, Jong Chul; PARK, GEONYEONG; Jung, Chanyong; Sangmin Lee; Lee, Sang Wan, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, IEEE Computer Society, 2024-06

13
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models

Ye, Jong Chul; Hyeonho Jeong; PARK, GEONYEONG, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, IEEE Computer Society, 2024-06

14
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing

Ye, Jong Chul; Hyelin Nam; KWON, GIHYUN; PARK, GEONYEONG, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, IEEE Computer Society, 2024-06

15
Adapting low-dose CT denoisers for texture preservation using zero-shot local noise-level matching

Ko, Youngjun; Song, Seongjong; Baek, Jongduk; Shim, Hyunjung, MEDICAL PHYSICS, v.51, no.6, pp.4181 - 4200, 2024-06

16
End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography

Oh, Jieun; Kim, Boah; Oh, Gyutaek; Hwangbo, Yul; Ye, Jong Chul, ENDOCRINOLOGY AND METABOLISM, v.39, no.3, pp.500 - 510, 2024-06

17
TEDDY: Trimming Edges with Degree-based Discrimination strategY

Seo, Hyunjin; Yun, Jihun; Yang, Eunho, The Twelfth International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations (ICLR), 2024-05-09

18
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions

Taehyeon Kim; Joonkee Kim; Gihun Lee; Yun, Seyoung, The Twelfth International Conference on Learning Representations, ICLR, 2024-05-08

19
Linear attention is (maybe) all you need (to understand Transformer optimization)

Ahn, Kwangjun; Cheng, Xiang; Song, Minhak; Yun, Chulhee; Jadbabaie, Ali; Sra, Suvrit, 12th International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations (ICLR), 2024-05-07

20
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion

Junghyun Lee; Yun, Seyoung; Kwang-Sung Jun, The 27th International Conference on Artificial Intelligence and Statistics, AISTATS, 2024-05-04

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