Browse "College of Engineering(공과대학)" by Type Conference
Showing results 44641 to 44660 of 90910
| Message from the International Advisory Committee chair Mittra, R.; Ziolkowski, R.W.; Bird, T.S.; Chan, C.-H.; Chang, D.-C.; Eom, Hyo Joon; Fang, D.G.; et al, IWAT 2005, v.2005, 2005 |
| Message from the technical program co-chairs Narasimhan, P.; Russo, S.; Youn, H.-Y.; Kim, Daeyoung, Third IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, SEUS 2005, v.2005, IEEE, 2005 |
| Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning Kim, Woojun; Cho, Myungsik; Sung, Youngchul, 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, pp.6079 - 6086, Assoc Advancement Artificial Intelligence, 2019-01-31 |
| Messaging beyond texts with real-time image suggestions Kim, Joongyum; Gong, Taesik; Han, Kyungsik; Kim, Juho; Ko, Jeonggil; Lee, Sung-Ju, 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services: Expanding the Horizon of Mobile Interaction, MobileHCI 2020, Association for Computing Machinery, Inc, 2020-10-07 |
| Meta Batch-Instance Normalization for Generalizable Person Re-Identification Choi, Seokeon; Kim, Taekyung; Jeong, Minki; Park, Hyoungseob; Kim, Changick, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.3424 - 3434, IEEE Conference on Computer Vision and Pattern Recognition, 2021-06-22 |
| Meta BCI : Hippocampus-Striatum Network Inspired Architecture Towards Flexible BCI Song, MR; Lee, Sang Wan, The 6th international winter conference on Brain-computer interface (IEEE BCI 2018), pp.28 - 30, IEEE, 2018-01 |
| Meta criterion for expected uncertainty reduction of reliability under Kriging model 김민직; 이익진, 2021년도 대한기계학회 춘계학술대회 CAE 및 응용역학부문, pp.246 - 247, 대한기계학회, 2021-08 |
| 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-FusionNet: Multi-network Fusion Framework based on Network Calibration 윤성훈; 정희찬; 윤국진, 제32회 영상 처리 및 이해에 관한 워크샵(IPIU), 한국컴퓨터비전학회, 2020-02-05 |
| 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 for personalized golf swing monitoring to overcome motion variability between users Kim, Myeongsub; Kim, Jung; Park, Su-Kyung, ISB 2021, International Society of Biomechanics, 2021-07-26 |
| Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs Kye, Seong Min; Jung, Youngmoon; Lee, Hae Beom; Hwang, Sung Ju; Kim, Hoi-Rin, Interspeech 2020, pp.2982 - 2986, ISCA, 2020-10-28 |
| Meta-learning to communicate: Fast end-to-end training for fading channels Park, Sangwoo; Simeone, Osvaldo; Kang, Joonhyuk, 45th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, Institute of Electrical and Electronics Engineers Inc., 2020-05-04 |
| 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-Path-based Fake News Detection Leveraging Multi-level Social Context Information Cui, Jian; Kim, Kwanwoo; Na, Seung Ho; Shin, Seungwon, 31st ACM International Conference on Information and Knowledge Management, CIKM 2022, pp.325 - 334, Association for Computing Machinery, 2022-10 |
| 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 |
| Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Park, Dongmin; Shin, Yooju; Bang, Jihwan; Lee, Youngjun; Song, Hwanjun; Lee, Jae-Gil, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural Information Processing Systems, 2022-12-01 |
| Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels Raviv,Tomer; Park, Sangwoo; Shlezinger, Nir; Simeone, Osvaldo; Eldar,Yonina C; Kang, Joonhyuk, 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021, Institute of Electrical and Electronics Engineers Inc., 2021-06 |
| MetaAnalyzer: A software tool for analyzing GC-MS data Park, Inho; Lee, KiYoung; Ha, Kiryong; Lee, Doheon; Lee, Kwang-Hyung, Proceedings of Int'l Conference on Systems Biology, 2006 |
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