Showing results 1 to 20 of 1370
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 |
Magnitude and angle dynamics in training single ReLU neurons Lee, Sangmin; Sim, Byeongsu; Ye, Jong Chul, NEURAL NETWORKS, v.178, 2024-10 |
Targeted Model Inversion: Distilling style encoded in predictions Jeong, Hoyong; Chung, Kiwon; Hwang, Sung Ju; Son, Sooel, COMPUTERS SECURITY, v.144, 2024-09 |
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 |
Unraveling the role of Raman modes in evaluating the degree of reduction in graphene oxide via explainable artificial intelligence Yoo, Jaekak; Cho, Youngwoo; Kim, Dong Hyeon; Kim, Jaeseok; Lee, Tae Geol; Lee, Seung Mi; Choo, Jaegul; et al, NANO TODAY, v.57, 2024-08 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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