Browse "Kim Jaechul Graduate School of AI(김재철AI대학원)" by Type Conference
Showing results 460 to 519 of 578
| Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Park, JoonHyung; Yang, June Yong; Shin, Jinwoo; Hwang, Sung Ju; Yang, Eunho, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), pp.7957 - 7965, Association for the Advancement of Artificial Intelligence, 2022-02-22 |
| Scalable Neural Video Representations with Learnable Positional Features Kim, Subin; Yu, Sihyun; Lee, Jaeho; Shin, Jinwoo, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation, 2022-11 |
| Scalable set encoding with universal mini-batch consistency and unbiased full set gradient approximation Willette, Jeffrey Ryan; Lee, Seanie; Bruno Andreis; Kawaguchi, Kenji; Lee, Juho; Hwang, Sung Ju, Fortieth International Conference on Machine Learning, International Conference on Machine Learning, 2023-07-23 |
| Scale mixtures of neural network Gaussian processes Lee, Hyungi; Yun, Eunggu; Yang, Hongseok; Lee, Juho, Tenth International Conference on Learning Representations (ICLR 2022), International Conference on Learning Representations, 2022-04-25 |
| Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel Kim, Sung-Yub; Park, Sihwan; Yang, Eunho, The Eleventh International Conference on Learning Representations, ICLR 2023, The International Conference on Learning Representations, 2023-05-01 |
| Scheduling and source control with average queue-length control in cellular networks Lee, Hyang-Won; Kim, Cheoljung; Chong, Song, IEEE ICC 2007, pp.109 - 114, IEEE, 2007-06-24 |
| Scheduling using interactive oracles: connection between iterative optimization and low-complexity scheduling Shin, Jin-Woo; Suk, Toonghoon, ACM Sigmetrics 2014, ACM Special Interest Group on Performance Evaluation (SIGMETRICS), 2014-06-18 |
| Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jo, Jae-Hyeong; Lee, Seul; Hwang, Sung Ju, Thirty-ninth International Conference on Machine Learning, ICML 2022, pp.10362 - 10383, International Conference on Machine Learning, 2022-07-20 |
| Seamless realtime traffic handover policy for IEEE 802.16m mobile wiMAX Shrestha, Sachin Lal; Song, Nah-Oak; Chong, Song, CISS 2009, pp.252 - 257, IEEE, 2009-03-18 |
| Segmenting 2K-Videos at 36.5 FPS with 24.3 GFLOPs: Accurate and Lightweight Realtime Semantic Segmentation Network Oh, Dokwan; Ji, Daehyun; Jang, Cheolhun; Hyunv, Yoonsuk; Bae, Hong S.; Hwang, Sungju, IEEE International Conference on Robotics and Automation, ICRA 2020, pp.3153 - 3160, Institute of Electrical and Electronics Engineers Inc., 2020-05-31 |
| Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network Bae, Sangmin; Kim, Sungnyun; Ko, Jongwoo; Lee, Gihun; Noh, Seungjong; Yun, Seyoung, 37th AAAI Conference on Artificial Intelligence, AAAI 2023, pp.197 - 205, AAAI Press, 2023-02-10 |
| Self-distillation for further pre-training of transformers Lee, Seanie; Minki, Kang; Lee, Juho; Hwang, Sung Ju; Kawaguchi, Kenji, The Eleventh International Conference on Learning Representations, International Conference on Learning Representations, 2023-05-01 |
| Self-reference extended depth-of-field quantitative phase microscopy Jang, J.; Bae, C.Y.; Park, J.-K.; Ye, Jong Chul, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XVII, 123, 2010-01-25 |
| Self-Supervised Dense Consistency Regularization for Image-to-Image Translation Ko, Minsu; Cha, Eunju; Suh, Sungjoo; Lee, Huijin; Han, Jae-Joon; Shin, Jinwoo; Han, Bohyung, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.18280 - 18289, IEEE COMPUTER SOC, 2022-06 |
| Self-Supervised Set Representation Learning for Unsupervised Meta-Learning Lee, Dong Bok; Lee, Seanie; Kawaguchi, Kenji; Kim, Yunji; Bang, Jihwan; Ha, Jung-Woo; Hwang, Sung Ju, The Eleventh International Conference on Learning Representations, ICLR 2023, The International Conference on Learning Representations, 2023-05-01 |
| Sequential reptile: inter-task gradient alignment for multilingual learning Lee, Seanie; Lee, Hae Beom; Lee, Juho; Hwang, Sung Ju, Tenth International Conference on Learning Representations, International Conference on Learning Representations, 2022-04-29 |
| Session-aware linear item-item models for session-based recommendation Choi, Minjin; Kim, Jinhong; Lee, Joonseok; Shim, Hyunjung; Lee, Jongwuk, 2021 World Wide Web Conference, WWW 2021, pp.2186 - 2197, Association for Computing Machinery, Inc, 2021-04-19 |
| Set based stochastic subsampling Andries, Bruno; Lee, Seanie; Nguyen, Tuan Anh; Lee, Juho; Yang, Eunho; Hwang, Sung Ju, The 39th International Conference on Machine Learning, ICML 2022, pp.619 - 638, International Conference on Machine Learning, 2022-07-17 |
| Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks Lee, Juho; Lee, Yoonho; Kim, Jungtaek; Kosiorek, Adam R.; Choi, Seungjin; Teh, Yee Whye, International Conference on Machine Learning, pp.3744 - 3753, International Conference on Machine Learning, 2019-06-11 |
| Set-based meta-interpolation for few-task meta-learning Lee, Seanie; Andries, Bruno; Kawaguchi, Kenji; Lee, Juho; Hwang, Sung Ju, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural Information Processing Systems, 2022-11-30 |
| Set2Box: Similarity Preserving Representation Learning for Sets Lee, Geon; Park, Chanyoung; Shin, Kijung, The 22nd IEEE International Conference on Data Mining, ICDM 2022, pp.1023 - 1028, IEEE Computer Society, 2022-11-29 |
| SetVAE: learning hierarchical composition for generative modeling of set-structured data Kim, Jinwoo; Yoo, Jaehoon; Lee, Juho; Hong, Seunghoon, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.15054 - 15063, IEEE/CVF, 2021-06-21 |
| SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization Cho, Hanseul; Yun, Chulhee, 11th International Conference on Learning Representations, ICLR 2023, International Conference on Learning Representations (ICLR), 2023-05-03 |
| SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization Kim, Changhun; Park, Joonhyung; Shim, Hajin; Yang, Eunho, 24th International Speech Communication Association, Interspeech 2023, pp.3367 - 3371, International Speech Communication Association, 2023-08-23 |
| SigFormer: Signature Transformers for Deep Hedging Tong, Anh; Ngyuen-Tang, Thanh; Lee, Dongeun; Tran, Toan M; Choi, Jaesik, 4th ACM International Conference on AI in Finance, pp.124 - 132, Association for Computing Machinery (ACM), 2023-11-28 |
| Single channel exact 3-D blind image deconvolution from cylindrically symmetric blur kernel Kwang, E.J.; Ye, Jong Chul, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, pp.6659 - 6662, 123, 2009-09-02 |
| Single channel exact blind image deconvolution from radially symmetric FIR blur Kwang, E.J.; Ye, Jong Chul, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07, pp.672 - 675, 123, 2007-04-12 |
| Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback Wang, Xiaofei; Lee, Kimin; Kourosh Hakhamaneshi; Pieter Abbeel; Michael Laskin, 5th Conference on Robot Learning, CoRL 2021, ML Research Press, 2021-11 |
| Skill-based Meta-Reinforcement Learning Nam, Taewook; Sun, Shao-Hua; Pertsch, Karl; Hwang, Sung Ju; Lim, Joseph Jaewhan, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, 2022-04-25 |
| SLAW: A mobility model for human walks Lee, Kyunghan; Hong, Seongik; Kim, Seongjoon; Rhee, Injong; Chong, Song, IEEE INFOCOM 2009, pp.855 - 863, IEEE, 2009-04-19 |
| SLUGGER: Lossless Hierarchical Summarization of Massive Graphs Lee, Kyuhan; Ko, Jihoon; Shin, Kijung, 38th IEEE International Conference on Data Engineering, ICDE 2022, pp.472 - 484, IEEE Computer Society, 2022-05 |
| Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models Chung, Hyungjin; Ryu, Dohoon; Mccann, Michael T; Klasky, Marc L; Ye, Jong Chul, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, IEEE Computer Society, 2023-06 |
| Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity. Yang, Eunho; Lozano, Aurelie, International Conference on Machine Learning (ICML) 34, International Machine Learning Society (IMLS), 2017-08-06 |
| Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix Jin, Kyong Hwan; Lee, Juyoung; Lee, Dongwook; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, IEEE, 2016-04-16 |
| Sparse dictionary learning for resting-state fMRI analysis Lee, KJ; Han, PK; Ye, Jong Chul, Wavelets and Sparsity XIV, SPIE, 2011-08 |
| Sparse Token Transformers with Attention Back Tracking Lee, Heejun; Kang, Minki; Lee, Youngwan; Hwang, Sung Ju, The Eleventh International Conference on Learning Representations, ICLR 2023, International Conference on Learning Representations, 2023-05-03 |
| Sparse Topological Data Recovery in Medical Images Chung, MK; Lee, HK; Kim, PT; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, 2011-03 |
| Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach Han, Yo Seob; Jin, Kyong Hwan; Kim, Kyungsang; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, pp.573 - 576, IEEE, 2016-04-14 |
| Spatial Dependency Parsing for Semi-Structured Document Information Extraction Hwang, Wonseok; Yim, Jinyeong; Park, Seunghyun; Yang, Sohee; Seo, Minjoon, ACL 2021, Association for Computational Linguistics (ACL), 2021-08-04 |
| Spatial resource reuse in the multi-hop cellular networks: Difficulties and benefits Jeon, Jeongho; Son, Kyuho; Chong, Song, IEEE GLOBECOM 2008, pp.3690 - 3695, IEEE, 2008-11-30 |
| Spectral Approximate Inference Park, Sejun; Yang, Eunho; Yun, Seyoung; Shin, Jinwoo, 36th International Conference on Machine Learning (ICML), ICML committee, 2019-06-13 |
| Stabilized MAX-MIN flow control using PID and PII2 controllers cho, jeong woo; Chong, Song, IEEE GLOBECOM 2004, pp.1411 - 1417, IEEE, 2004-11-29 |
| Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation Jung, Sanghun; Lee, Jungsoo; Gwak, Daehoon; Choi, Sungha; Choo, Jaegul, 18th IEEE/CVF International Conference on Computer Vision (ICCV), pp.15405 - 15414, Computer Vision Foundation, IEEE Computer Society, 2021-10-11 |
| State Entropy Maximization with Random Encoders for Efficient Exploration Seo, Younggyo; Chen, Lili; Shin, Jinwoo; Lee, Honglak; Abbeel, Pieter; Lee, Kimin, 38th International Conference on Machine Learning, ICML 2021, JMLR-JOURNAL MACHINE LEARNING RESEARCH, 2021-07 |
| STRUCTURE-AWARE TRANSFORMER POLICY FOR INHOMOGENEOUS MULTI-TASK REINFORCEMENT LEARNING Hong, Sunghoon; Yoon, Deunsol; Kim, Kee-Eung, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, ICLR, 2022-04 |
| Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment Kim, Taewoo; Chung, Chaeyeon; Kim, Yoonseo; Park, Sunghyun; Kim, Kangyeol; Choo, Jaegul, 17th European Conference on Computer Vision (ECCV), pp.188 - 203, SPRINGER INTERNATIONAL PUBLISHING AG, 2022-10 |
| StyleDrop: Text-to-Image Generation in Any Style Sohn, Kihyuk; Ruiz, Nataniel; Lee, Kimin; Chin, Daniel Castro; Blok, Irina; Chang, Huiwen; Barber, Jarred; et al, 37th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2023-12-13 |
| Subspace Penalized Sparse Learning for Joint Sparse Recovery Ye, Jong Chul; Kim, Jong Min; Bresler, Yoram, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), , pp.6039 - 6042, IEEE, 2013-05 |
| Subwavelength Silicon Honeycomb Structure for Tailored Index in Terahertz Broadband Region Park, Sang-Gil; Jin, Kyong-Hwan; Yi, Minwoo; Ye, Jong Chul; Ahn, Jaewook; Jeong, KI-HUN, IEEE Optical MEMS and Nanophotonics 2012, IEEE, 2012-08-06 |
| SUNRISE: A Simple Unified Frameworkfor Ensemble Learning in Deep Reinforcement Learning Lee, Kimin; Michael Laskin; Aravind Srinivas; Pieter Abbeel, 38th International Conference on Machine Learning, ICML 2021, International Machine Learning Society (IMLS), 2021-07 |
| Supplementary material for understanding geometry of encoder-decoder CNNs (Proof included) Ye, Jong Chul; Sung, Woon Kyoung, 36th International Conference on Machine Learning, ICML 2019, pp.12255 - 12269, International Machine Learning Society (IMLS), 2019-06 |
| SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning Park, Jongjin; Seo, Younggyo; Shin, Jinwoo; Lee, Honglak; Abbeel, Pieter; Lee, Kimin, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, 2022-04-26 |
| Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks Oh, Jaehoon; Ko, Jongwoo; Yun, Seyoung, Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, pp.6747 - 6754, EMNLP, 2022-12-09 |
| Synthesis of MCMC and Belief Propagation Ahn, Sungsoo; Chertkov, Michael; Shin, Jinwoo, NIPS 2016, Neural Information Processing Systems Foundation, 2016-12-07 |
| T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty Lee, Dongwook; Kim, Eung Yeop; Yoon, Huisu; Park, Sung-Hong; Ye, Jong Chul, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, pp.645 - 648, Institute of Electrical and Electronics Engineers Inc., 2014-04 |
| TAES: Traffic-Aware Energy-Saving Base Station Sleeping and Clustering in Cooperative Networks Kim, Jihwan; Lee, Hyang-woon; Chong, Song, 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), pp.259 - 266, IEEE, 2015-05-26 |
| TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification Song, Jaeyun; Park, JoonHyung; Yang, Eunho, The 39th International Conference on Machine Learning, ICML 2022, International Conference on Machine Learning, 2022-07-19 |
| Task Agnostic and Post-hoc Unseen Distribution Detection Dua, Radhika; Yang, Seongjun; Li, Yixuan; Choi, Yoonjae, 23rd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, pp.1350 - 1359, Institute of Electrical and Electronics Engineers Inc., 2023-01 |
| Task-Adaptive Neural Network Search with Meta-Contrastive Learning Jeong, Wonyong; Lee, Hayeon; Park, Geon; Hyung, Eunyoung; Baek, Jinheon; Hwang, Sung Ju, 35th Conference on Neural Information Processing Systems (NeurIPS) 2021, Conference on Neural Information Processing Systems (NeurIPS), 2021-12-09 |
| TASK-INDUCED REPRESENTATION LEARNING Yamada, Jun; Pertsch, Karl; Gunjal, Anisha; Lim, Joseph Jaewhan, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, ICLR, 2022-04 |
Discover
Type
- 477 Article
- 578 Conference
- 61 Patent
- 81 Thesis(Master)
- 1 Thesis(Ph.D)
Open Access
- 36 OA Article
Date issued
- 624 2020 - 2024
- 406 2010 - 2019
- 96 2000 - 2009
- 11 1992 - 1999