Browse "Kim Jaechul Graduate School of AI(김재철AI대학원)" by Type Conference
Showing results 310 to 369 of 578
| Making 802.11 DCF Near-Optimal: Design, Implementation, and Evaluation Lee, Jinsung; Lee, Hojin; Yi, Yung; Chong, Song; Nardelli, Bruno; Chaing, Mung, IEEE SECON 2013, pp.86 - 94, IEEE, 2013-06-25 |
| MAP inference for Bayesian inverse reinforcement learning Choi, Jae-Deug; Kim, Kee-Eung, 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011, Neural Information Processing Systems Foundation, 2011-12 |
| Margin-based Neural Network Watermarking Kim, Byungjoo; Lee, Suyoung; Lee, Seanie; Son, Sooel; Hwang, Sung Ju, 40th International Conference on Machine Learning (ICML 2023), Proceedings of Machine Learning Research, 2023-07-23 |
| MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation Kim, Taeri; Lee, Yeon-Chang; Shin, Kijung; Kim, Sang-Wook, 31st ACM International Conference on Information and Knowledge Management, CIKM 2022, pp.993 - 1002, Association for Computing Machinery, 2022-10-18 |
| Martingale posterior neural processes Lee, Hyungi; Yun, Eunggu; Nam, Giung; Fong, E; Lee, Juho, The Eleventh International Conference on Learning Representations, International Conference on Learning Representations, 2023-05-01 |
| Masked World Models for Visual Control Seo, Younggyo; Hafner, Danijar; Liu, Hao; Liu, Fangchen; James, Stephen; Lee, Kimin; Abbeel, Pieter, 6th Conference on Robot Learning, CoRL 2022, pp.1332 - 1344, ML Research Press, 2022-12-17 |
| MASKER: Masked Keyword Regularization for Reliable Text Classification Moon, Seung Jun; Mo, Sangwoo; Lee, Kimin; Lee, Jaeho; Shin, Jinwoo, 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, pp.13578 - 13586, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2021-02-06 |
| Max-contribution: On optimal resource allocation in delay tolerant networks Lee, Kyunghan; Yi, Yung; Jeong, Jaeseong; Won, Hyungsuk; Rhee, Injong; Chong, Song, IEEE INFOCOM 2010, pp.1 - 9, IEEE, 2010-03-14 |
| Max-min resource allocation in a network processor Yi, Sang-Yoon; Shin, Minsu; Kim, Junsung; Shrestha Sachin Lal; Chong, Song, IEEE GLOBECOM 2004, pp.582 - 588, IEEE, 2004-11-29 |
| Max-Product Belief Propagation for Linear Programming: Applications to Combinatorial Optimization Shin, Jinwoo; Park, Sejun, UAI 2015, Association for Uncertainty in Artificial Intelligence, 2015-07-14 |
| Memory Heat Map: Anomaly Detection in Real-Time Embedded Systems Using Memory Behavior Yoon, Man-Ki; Mohan, Sibin; Choi, Jaesik; Sha, Lui, The 52nd ACM/EDAC/IEEE Design Automation Conference (DAC 2015), pp.1 - 6, ACM Special Interest Group on Design Automation (SIGDA), 2015-06-09 |
| Meta learning low rank covariance factors for energy-based deterministic uncertainty Willette, Jeffrey Ryan; Lee, Hae Beom; Lee, Juho; Hwang, Sung Ju, Tenth International Conference on Learning Representations, International Conference on Learning Representations, 2022-04-27 |
| Meta Variance Transfer: Learning to Augment from The Others Park, Seong-Jin; Han, Seungju; Baek, Jiwon; Kim, Insoo; Song, Juhwan; Lee, Hae Beom; Han, Jae-Joon; et al, 37th International Conference on Machine Learning, ICML 2020, pp.7466 - 7476, ICML, 2020-07-13 |
| Meta-Learning for Online Update of Recommender Systems Kim, MinSeok; Song, Hwanjun; Shin, Yooju; Park, Dongmin; Shin, Kijung; Lee, Jae-Gil, 36th AAAI Conference on Artificial Intelligence, AAAI 2022, pp.4065 - 4074, Association for the Advancement of Artificial Intelligence, 2022-02-25 |
| Meta-Learning with Self-Improving Momentum Target Tack, Jihoon; Park, Jongjin; Lee, Hankook; Lee, Jaeho; Shin, Jinwoo, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation, 2022-11 |
| Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets Lee, Hayeon; An, Sohyung; Kim, Minseon; Hwang, Sung Ju, The Eleventh International Conference on Learning Representations, ICLR 2023, International Conference on Learning Representations, 2023-05-01 |
| MGGAN: Solving Mode Collapse Using Manifold-Guided Training Bang, Duhyeon; Shim, Hyunjung, 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, pp.2347 - 2356, Institute of Electrical and Electronics Engineers Inc., 2021-10 |
| MiDaS: Representative Sampling from Real-world Hypergraphs Choe, Min Young; Yoo, Jaemin; Lee, Geon; Baek, Woonsung; Kang, U; Shin, Kijung, 31st ACM World Wide Web Conference, WWW 2022, pp.1080 - 1092, Association for Computing Machinery, Inc, 2022-04-25 |
| Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond Yun, Chulhee; Rajput, Shashank; Sra, Suvrit, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations (ICLR), 2022-04-26 |
| Minimizing Trajectory Curvature of ODE-based Generative Models Lee, Sangyun; Kim, Beomsu; Ye, Jong Chul, 40th International Conference on Machine Learning, ICML 2023, International Machine Learning Society (IMLS), 2023-07 |
| Minimum Weight Perfect Matching via Blossom Belief Propagation Ahn, Sungsoo; Park, Sejun; Misha Chertkov; Shin, Jinwoo, NIPS 2015, Neural Information Processing Systems Foundation, 2015-12-08 |
| Mining GOLD Samples for Conditional GANs Mo, Sangwoo; Kim, Chiheon; Kim, Sungwoong; Cho, Minsu; Shin, Jinwoo, 33rd Conference on Neural Information Processing Systems (NeurIPS), NIPS committee, 2019-12-10 |
| Mining of Real-world Hypergraphs: Patterns, Tools, and Generators Lee, Geon; Yoo, Jaemin; Shin, Kijung, 31st ACM International Conference on Information and Knowledge Management, CIKM 2022, pp.5144 - 5147, Association for Computing Machinery, 2022-10-19 |
| Mining of Real-world Hypergraphs: Patterns, Tools, and Generators Lee, Geon; Yoo, Jaemin; Shin, Kijung, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, pp.5811 - 5812, Association for Computing Machinery, 2023-08-06 |
| Mitigating Dataset Bias by Using Per-Sample Gradient Ahn, Sumyeong; Kim, SeongYoon; Yun, Seyoung, Eleventh International Conference on Learning Representations, ICLR 2023, International Conference on Learning Representations, 2023-05-02 |
| MMSE optimal non-local motion compensated k-t FOCUSS for compressed sensing cardiac cine imaging Yoon, Huisu; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging (ISBI), IEEE EMBS, 2012-05 |
| Model-augmented Prioritized Experience Replay Oh, Youngmin; Shin, Jinwoo; Yang, Eunho; Hwang, Sung Ju, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, ICLR, 2022-04-25 |
| Morphology-Aware Interactive Keypoint Estimation Kim, Jinhee; Kim, Taesung; Kim, Taewoo; Choo, Jaegul; Kim, Dong-Wook; Ahn, Byungduk; Song, In-Seok; et al, 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, pp.675 - 685, Springer Science and Business Media Deutschland GmbH, 2022-09 |
| Mosaic: Extremely Low-resolution RFID Vision for Visually-anonymized Action Recognition Shim, Seungwoo; Shin, Hyeonho; Cho, Myeongkyun; Lee, Youngki; Shin, Jinwoo; Kim, SongMin, 22nd ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2023, pp.247 - 260, Association for Computing Machinery, Inc, 2023-05-12 |
| Motion compensated compressed sensing dynamic MRI with low-rank patch-based residual reconstruction Yoon, Huisu; Kim, Kyung Sang; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging (ISBI), pp.314 - 317, IEEE, 2013-04 |
| Motion Estimation/CompensatedCompressed
Sensing using Patch- Based Low Rank Penalty Yoon, Huisu; Ye, Jong Chul, Wavelets and Sparsity XV, SPIE, 2013-08 |
| MPViT: Multi-Path Vision Transformer for Dense Prediction Lee, Youngwan; Kim, Jonghee; Willette, Jeffrey Ryan; Hwang, Sung Ju, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp.7277 - 7286, IEEE Computer Society, 2022-06-21 |
| MULTI-DOMAIN UNPAIRED ULTRASOUND IMAGE ARTIFACT REMOVAL USING A SINGLE CONVOLUTIONAL NEURAL NETWORK Huh, Jaeyoung; Khan, Shujaat; Ye, Jong Chul, 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, pp.1206 - 1210, Institute of Electrical and Electronics Engineers Inc., 2022-05 |
| Multi-flow Rate Control in Delayed Wi-Fi Offloading Systems Kim, Yeongjin; Lee, Joohyun; Jeong, Jaeseong; Chong, Song, The 30th International Conference on Information Networking 2016 (ICOIN 2016), Korea Institute of Information Scientists and Engineers (KIISE), 2016-01-14 |
| Multi-path aggregate flow control for real-time traffic engineering Yun, Junghoon; Lee, Anseok; Chong, Song, IEEE GLOBECOM 2008, pp.1411 - 1415, IEEE, 2008-11-30 |
| Multi-View Automatic Lip-Reading using Neural Network Lee, Daehyun; Lee, Jongmin; Kim, Kee-Eung, 13th Asian Conference on Computer Vision (ACCV), pp.290 - 302, Asian Federation of Computer Vision (AFCV), 2016-11-20 |
| Multi-View Masked World Models for Visual Robotic Manipulation Seo, Younggyo; Kim, Junsu; James, Stephen; Lee, Kimin; Shin, Jinwoo; Abbeel, Pieter, 40th International Conference on Machine Learning, ICML 2023, International Machine Learning Society (IMLS), 2023-07-25 |
| Multi-view optical tomography using L1 data fidelity and sparsity constraint Jang, J.; Ye, Jong Chul, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XV, 123, 2008-01-21 |
| Multiband Dynamic Compressed Sensing Yoon, Huisu; Lee, Dong-wook; Lee, Juyoung; Choi, Seung Hong; Park, Sung-Hong; Ye, Jong-Chul, 12th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2015, IEEE, 2015-04-18 |
| Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts Park, Song; Chun, Sanghyuk; Cha, Junbum; Lee, Bado; Shim, Hyunjung, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, pp.13880 - 13889, Institute of Electrical and Electronics Engineers Inc., 2021-10-12 |
| Nearly Optimal Latent State Decoding in Block MDPs Jedra, Yassir; Lee, Junghyun; Proutière, Alexandre; Yun, Seyoung, 26th International Conference on Artificial Intelligence and Statistics, AISTATS 2023, pp.2805 - 2904, ML Research Press, 2023-04-26 |
| Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning Lee, Kimin; Lee, Kibok; Shin, Jinwoo; Lee, Honglak, Eighth International Conference on Learning Representations, ICLR 2020, International Conference on Learning Representations, 2020-04-27 |
| NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors Kwon, Taehyung; Ko, Jihoon; Jung, Jinhong; Shin, Kijung, WWW '23: The ACM Web Conference 2023, pp.71 - 81, Association for Computing Machinery, Inc, 2023-05-02 |
| Neural Adaptive Content-aware Internet Video Delivery Yeo, Hyunho; Jun, Youngmok; Kim, Jaehong; Shin, Jinwoo; Han, Dongsu, 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI), pp.645 - 661, USENIX, 2018-10-10 |
| Neural complexity measures Lee, Yoonho; Lee, Juho; Hwang, Sung Ju; Yang, Eunho; Choi, Seungjin, Advances in Neural Information Processing Systems, NeurIPS 2020, Neural Information Processing Systems, 2020-12-10 |
| Neural Dialog State Tracker for Large Ontologies by Attention Mechanism Jang, Youngsoo; Ham, Jiyeon; Lee, Byung-Jun; Chang, Youngjae; Kim, Kee-Eung, IEEE Workshop on Spoken Language Technology, IEEE, 2016-12-15 |
| Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation Kang, Minki; Han, Moonsu; Hwang, Sung Ju, Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.6102 - 6120, ACL, 2020-11-16 |
| Neural Processes with Stochastic Attention: Paying More Attention to the Context Dataset Kim, Mingyu; Kyeongryeol Go; Yun, Seyoung, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations (ICLR), 2022-04-26 |
| Neuroelectromagnetic Imaging of correlated sources using a novel Subspace Penalized Sparse Learning Yoo, Jae Jun; Kim, Jongmin; Im, Chang-Hwan; Ye, Jong Chul, 2013 13th International Conference on Control, Automation and Systems (ICCAS 2013), pp.1628 - 1629, ICROS, 2013-04 |
| NIRS-SPM: statistical parametric mapping for near infrared spectroscopy Tak, Sung-Ho; Jang, Kwang Eun; Jung, Jin-Wook; Jang, Jae-Duck; Jeong, Yong; Ye, Jong Chul, Multimodal Biomedical Imaging III, pp.6850, SPIE, 2008-01-14 |
| Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching Kim, Kwanyoung; Kwon, Taesung; Ye, Jong Chul, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp.1998 - 2006, IEEE Computer Society, 2022-06 |
| Noise Variance Analysis of an Optimal Spatio-Temporal Encoding Scheme for Dynamic MRI using Phase Array Coils Ye, Jong Chul; Kim, JH; Yoo, JH, World Congress on Medical Physics and Biomedical Engineering, 123, 2006-08 |
| Non-iterative exact inverse scattering using simultaneous orthogonal matching pursuit (S-OMP) Ye, Jong Chul; Lee, S.Y., 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pp.2457 - 2460, 123, 2008-03-31 |
| Nonparametric Decoding for Generative Retrieval Lee, Hyunji; Kim, Jaeyoung; Chang, Hoyeon; Oh, Hanseok; Yang, Sohee; Karpukhin, Vlad; Lu, Yi; et al, ACL 2023, pp.12642 - 12661, Association for Computational Linguistics (ACL), 2023-07 |
| Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction Ki, Daejin; Khan, Mohammad Azam; Choo, Jaegul, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.6505 - 6514, IEEE Computer Vision and Pattern Recognition, 2021-06-19 |
| NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation Gong, Taesik; Jeong, Jongheon; Kim, Taewon; Kim, Yewon; Shin, Jinwoo; Lee, Sung-Ju, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation, 2022-11 |
| Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning Park, Jongjin; Seo, Younggyo; Liu, Chang; Zhao, Li; Qin, Tao; Shin, Jinwoo; Liu, Tie-Yan, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems, 2021-12-07 |
| Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Lee, Seunghyun; Seo, Younggyo; Lee, Kimin; Abbeel, Pieter; Shin, Jinwoo, 5th Annual Conference on Robot Learning(coRL 2021), CoRL Conference Chair, 2021-11 |
| On divergence measures for Bayesian pseudocoresets Kim, Balhae; Choi, Jungwon; Lee, Seanie; Lee, Yoonho; Ha, Jung-Woo; Lee, Juho, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural Information Processing Systems, 2022-11-30 |
| On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms Bu, Fanchen; Shin, Kijung, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, pp.117 - 129, Association for Computing Machinery, 2023-08-08 |
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