Browse "Kim Jaechul Graduate School of AI(김재철AI대학원)" by Type Conference
Showing results 241 to 300 of 577
| How Transitive Are Real-World Group Interactions? - Measurement and Reproduction Kim, Sunwoo; Bu, Fanchen; Choe, Min Young; Yoo, Jaemin; Shin, Kijung, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, pp.1132 - 1143, Association for Computing Machinery, 2023-08-08 |
| Hybrid content caching for low end-to-end latency in cloud-based wireless networks Kwak, Jeongho; Kim, Yeongjin; Le, Long Bao; Chong, Song, 2017 IEEE International Conference on Communications, ICC 2017, Institute of Electrical and Electronics Engineers Inc., 2017-05-23 |
| Hybrid Modeling and Simulation of Tactical Maneuvers in Computer Generated Force Bae, Jang Won; Nam, Bowon; Kim, Kee-Eung; Lee, Junseok; Moon, Il-Chul, 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, pp.942 - 947, IEEE Systems, Man, and Cybernetics Society, 2017-10-05 |
| Image Quality Enhancement of Digital Breast Tomosynthesis Images by Deblurring with Deep Residual Convolutional Neural Network Choi, Yunsu; Shim, Hyunjung; Baek, Jongduk, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018, Institute of Electrical and Electronics Engineers Inc., 2018-11 |
| Impact of Surrounding Information on Wi-Fi Sensing Efficiency Jeong, Jaeseong; Lee, Joohyun; Kim, Yeongjin; Lee, Jaewoong; Chong, Song, ICTC2013, pp.410 - 415, Minisrty of Science, ICT and Future Planning, 2013-10-14 |
| Implementation of an ideal observer model using convolutional neural network for breast CT images Kim, Gihun; Han, Minah; Shim, Hyunjung; Baek, Jongduk, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, SPIE, 2019-02 |
| Implementing utility-optimal CSMA Lee, Jinsung; Lee, Junhee; Yi, Yung; Chong, Song; Proutiere, Alexandre; Chiang, Mung, 2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009, pp.102 - 111, IEEE, 2009-09-30 |
| Improved Predictive Deep Temporal Neural Networks with Trend Filtering Park, Youngjin; Choi, Jaesik; Eom, Deokjun, ICAIF-2020_ACM International Conference on AI in Finance, ACM, 2020-10-15 |
| Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach Cha, EJ; Jin, KH; Lee, D; Kim, EY; Choi, SH; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, IEEE, 2016-04-14 |
| Improved training of generative adversarial networks using representative features Bang, Duhyeon; Shim, Hyunjung, 35th International Conference on Machine Learning, ICML 2018, pp.737 - 746, International Machine Learning Society (IMLS), 2018-06 |
| Improved volumetric imaging for DCE-MRI using parallel imaging and dynamic compressed sensing Yoon, Huisu; Park, Sung-Hong; Ye, Jong Chul, 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014, pp.483 - 486, Institute of Electrical and Electronics Engineers Inc., 2014-12 |
| Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models Lee, Suhyeon; Chung, Hyungjin; Park, Minyoung; Park, Jonghyuk; Ryu, Wi-Sun; Ye, Jong Chul, International Conference on Computer Vision, ICCV 2023, IEEE Computer Society, 2023-10 |
| Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings Chen, Lili; Lee, Kimin; Aravind Srinivas; Pieter Abbeel, 35th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2021-12 |
| Improving Diffusion Models for Inverse Problems using Manifold Constraints Chung, Hyungjin; Sim, Byeongsu; Ryu, Dohoon; Ye, Jong Chul, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation, 2022-11 |
| Improving ensemble distillation with weight averaging and diversifying perturbation Nam, Giung; Lee, Hyungi; Heo, Byeongho; Lee, Juho, The 39th International Conference on Machine Learning, ICML 2022, International Conference on Machine Learning, 2022-07-17 |
| Improving Resolution of Fluorescent Microscopy using Speckle Illumination and Joint Sparse Recovery Ye, Jong Chul; Min, Junhong; Jang, Jaeduck, IEEE International Symposium on Biomedical Imaging (ISBI), pp.596 - 599, IEEE, 2013-04 |
| Improving Transferability of Representations via Augmentation-Aware Self-Supervision Lee, Hankook; Lee, Kibok; Lee, Kimin; Lee, Honglak; Shin, Jinwoo, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems, 2021-12-07 |
| Incentivizing Strategic Users for Social Diffusion: Quantity or Quality? Ok, Jungseul; Shin, Jinwoo; Yi, Yung, IEEE Conference on Computer Communications (IEEE INFOCOM), IEEE Communications Society, 2017-05-02 |
| Incremental learning with unlabeled data in the wild Lee, Kibok; Lee, Kimin; Shin, Jinwoo; Lee, Honglak, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019, pp.29 - 32, IEEE Computer Society, 2019-06 |
| Incremental Lossless Graph Summarization Ko, Jihoon; Kook, Yunbum; Shin, Kijung, 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp.317 - 327, Association for Computing Machinery, 2020-08-24 |
| Influence Maximization over Strategic Diffusion in Social Networks Ok, Jeongseul; Choi, Jaeyoung; Jin, Youngmi; Yi, Yung; Shin, Jinwoo, CISS 2014, IEEE, 2014-03-19 |
| Information-Theoretic State Space Model for Multi-View Reinforcement Learning Hwang, HyeongJoo; Seo, Seokin; Jang, Youngsoo; Kim, Sungyoon; Kim, Geon-Hyeong; Hong, Seunghoon; Kim, Kee-Eung, 40th International Conference on Machine Learning, ICML 2023, pp.14249 - 14282, ML Research Press, 2023-07-23 |
| Infrastructure Support Increases the Capacity of Ad Hoc Wireless Networks cho, jeong woo; Kim, Seong-Lyun; Chong, Song, IEEE VTC 2005, IEEE, 2005-05 |
| InstaGAN: Instance-aware Image-to-Image Translation Mo, Sangwoo; Cho, Minsu; Shin, Jinwoo, ICLR 2019, ICLR committee, 2019-05-07 |
| Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations Nam, Woo Jeong; Choi, Jaesik; Lee, Seong-Whan, AAAI Conference on Artificial Intelligence, pp.11604 - 11612, Association for the Advancement of Artificial Intelligence, 2021-02-06 |
| Inverse lighting for non-homogeneous objects from color and depth image using wavelet representation Choe, Junsuk; Shim, Hyunjung, Computational Imaging XIII, SPIE, 2015-02 |
| Iterative scatter correction for digital tomosynthesis using composition ratio update and GPU based Monte Carlo simulation Kim, KS; Seong, YH; Lee, J; Jang, KE; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging (ISBI), IEEE EMBS, 2012-05 |
| I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs Lee, Dongjin; Shin, Kijung, 37th AAAI Conference on Artificial Intelligence, AAAI 2023, pp.8456 - 8464, Association for the Advancement of Artificial Intelligence (AAAI), 2023-02-09 |
| Joint Active Feature Acquisition And Classification With Variable-Size Set Encoding Shim, Hajin; Hwang, Sung Ju; Yang, Eunho, 32th Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2018-12-05 |
| Joint network-wide opportunistic scheduling and power control in multi-cell networks Cho, Jeong-woo; Mo, Jeonghoon; Chong, Song, WOWMOM 2007, IEEE, 2007-06-18 |
| Joint Sparse Recovery in Inverse Scattering Lee, Okkyun; Ye, Jong Chul, Conference on Image Reconstruction from Incomplete Data VIII, SPIE, 2015-08-10 |
| Joint Sparsity Recovery Method for the EIT Problem to Reconstruct Anomalies Lee, Ok-Kyun; Kang, Heongbae; Lim, Mikyoung; Ye, Jong-Chul, 12th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2015, IEEE, 2015-04-18 |
| Just-in-time WLANs: On-demand Interference-managed WLAN Infrastructures Lee, Kimin; Kim, Yeon Keun; Kim, Seok Hyun; Shin, Jin Woo; Shin, Seung Won; Chong, Song, International Conference on Computer Communications, IEEE Communications Society, 2016-04 |
| K-centered Patch Sampling for Efficient Video Recognition Park, Seong Hyeon; Tack, Jihoon; Heo, Byeongho; Ha, Jung-Woo; Shin, Jinwoo, 17th European Conference on Computer Vision (ECCV), pp.160 - 176, SPRINGER INTERNATIONAL PUBLISHING AG, 2022-10 |
| K-Hairstyle: A Large-Scale Korean Hairstyle Dataset for Virtual Hair Editing and Hairstyle Classification Kim, Taewoo; Chung, Chaeyeon; Park, Sunghyun; Gu, Gyojung; Nam, Keonmin; Choe, Wonzo; Lee, Jaesung; et al, 2021 IEEE International Conference on Image Processing(ICIP), pp.1299 - 1303, ICIP, 2021-09-22 |
| KALA: Knowledge-Augmented Language Model Adaptation Kang, Minki; Baek, Jinheon; Hwang, Sung Ju, 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, pp.5144 - 5167, Association for Computational Linguistics (ACL), 2022-07-12 |
| KILT: a Benchmark for Knowledge Intensive Language Tasks Petroni, Fabio; Piktus, Aleksandra; Fan, Angela; Lewis, Patrick; Yazdani, Majid; De Cao, Nicola; Thorne, James; et al, 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, pp.2523 - 2544, Association for Computational Linguistics (ACL), 2021-06-10 |
| KNOW YOUR ACTION SET: LEARNING ACTION RELATIONS FOR REINFORCEMENT LEARNING Jain, Ayush; Kosaka, Norio; Kim, Kyung-Min; Lim, Joseph Jaewhan, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, ICLR, 2022-04 |
| Knowledge Corpus Error in Question Answering Lee, Yejoon; Oh, Philhoon; Thorne, James, Empirical Methods in Natural Language Processing, EMNLP 2023, Association for Computational Linguistics, 2023-12-08 |
| Knowledge Unlearning for Mitigating Privacy Risks in Language Models Jang, Joel; Yoon, Dongkeun; Yang, Sohee; Cha, Sungmin; Lee, Moontae; Logeswaran, Lajanugen; Seo, Minjoon, ACL 2023, pp.14389 - 14408, Association for Computational Linguistics (ACL), 2023-07 |
| Knowledge-Augmented Language Model Verification Baek, Jinheon; Jeong, Soyeong; Kang, Minki; Park, Jong-Cheol; Hwang, Sung Ju, The 2023 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics (ACL), 2023-12-07 |
| Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks Kang, Minki; Lee, Seanie; Baek, Jinheon; Kenji, Kawaguchi; Hwang, Sung Ju, 37th Conference on Neural Information Processing Systems, NeurIPS 2023, Neural Information Processing Systems Foundatio, 2023-12-14 |
| L0-compressed sensing for parallel dynamic MRI using sparse Bayesian learning Jung, H; Yoon, HS; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, 2011-03 |
| Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Kim, Junsu; Seo, Younggyo; Shin, Jinwoo, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems, 2021-12-07 |
| Language Detoxification with Attribute-Discriminative Latent Space Kwak, Jin Myung; Kim, Minseon; Hwang, Sung Ju, 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023, pp.10149 - 10171, Association for Computational Linguistics (ACL), 2023-07-11 |
| Large Language Models Are Reasoning Teachers Ho, Namgyu; Schmid, Laura; Yun, Seyoung, 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023, pp.14852 - 14882, Association for Computational Linguistics (ACL), 2023-07-10 |
| Large-scale log-determinant computation through stochastic Chebyshev expansions Han, Insu; Malioutov, Dmitry; Shin, Jinwoo, ICML 2015, International Machine Learning Society (IMLS), 2015-07-07 |
| Large-Scale Meta-Learning with Continual Trajectory Shifting Shin, Jae Woong; Lee, Hae Beom; Gong, Boqing; Hwang, Sung Ju, 38th International Conference on Machine Learning, ICML 2021, International Machine Learning Society, 2021-07-18 |
| Learning based utility maximization for multi-resource management Lee, DongHoon; Chong, Song, 13th International Conference on Future Internet Technologies, CFI 2018, Association for Computing Machinery, 2018-06 |
| Learning Bounds for Risk-sensitive Learning Lee, Jaeho; Park, Sejun; Shin, Jinwoo, 34th Conference on Neural Information Processing Systems (NeurIPS) 2020, Neural Information Processing Systems, 2020-12-07 |
| Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior Tong, Anh; Tran, Toan; Bui, Hung; Choi, Jaesik, AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2021-02-05 |
| Learning Fractional White Noises in Neural Stochastic Differential Equations Tong, Anh Hoan; Nguyen-Tang, Thanh; Tran, Toan; Choi, Jaesik, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural Information Processing Systems Foundation, 2022-12-01 |
| Learning from Better Supervision: Self-distillation for Learning with Noisy Labels Baek, Kyungjune; Lee, Seungho; Shim, Hyunjung, 26th International Conference on Pattern Recognition / 8th International Workshop on Image Mining - Theory and Applications (IMTA), pp.1829 - 1835, IEEE, 2022-08-23 |
| Learning How Long to Wait: Adaptively-Constrained Monotonic Multihead Attention for Streaming ASR Song, Jaeyun; Shim, Hajin; Yang, Eunho, 2021 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2021, pp.441 - 448, Institute of Electrical and Electronics Engineers Inc., 2021-12-15 |
| Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance Kim, Yoonjeon; Kim, Hyunsu; Kim, Junho; Choi, Yunjey; Yang, Eunho, The Eleventh International Conference on Learning Representations, ICLR 2023, The International Conference on Learning Representations, 2023-05-03 |
| Learning Task Clusters via Sparsity Grouped Multitask Learning Kshirsagar, Meghana; Yang, Eunho; Lozano, Aurélie C, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2017, pp.673 - 689, Springer Verlag, 2017-09 |
| Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction Baek, Jinheon; Lee, Dong Bok; Hwang, Sung Ju, Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS 2020, NeurIPS, 2020-12-06 |
| Learning to Generate Inversion-Resistant Model Explanations Jeong, Hoyong; Lee, Suyoung; Hwang, Sung Ju; Son, Sooel, 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), NeurIPS, 2022-11-30 |
| Learning to Generate Questions by Learning to Recover Answer-containing Sentences Back, Seohyun; Keida, Akhil; Chinthakindi, Sai Chetan; Lee, Haejun; Choo, Jaegul, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association for Computational Linguistics (ACL), 2021-08-02 |
| Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss Jung Sang Gil; Son, Cahng Tong; Lee, Seo Hyung; Son, Jin Woo; Kwak, Young Jun; Han, Jae Joon; Hwang, Sung Ju; et al, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.1 - 10, Conference on Computer Vision and Pattern Recognition(CVPR), 2019-06-16 |
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