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| Learning quadrupedal locomotion on deformable terrain Choi, Suyoung; Ji, Gwanghyeon; Park, Jeongsoo; Kim, Hyeongjun; Mun, Juhyeok; Lee, Jeong Hyun; Hwangbo, Jemin, SCIENCE ROBOTICS, v.8, no.74, 2023-01 |
Learning quadrupedal locomotion over challenging terrain Lee, Joonho; Hwangbo, Jemin; Wellhausen, Lorenz; Koltun, Vladlen; Hutter, Marco, SCIENCE ROBOTICS, v.5, no.47, 2020-10 |
| Learning Relational Kalman Filtering Choi, Jaesik; Amir, Eyal; Valocchi, Albert; Xu, Tianfan, The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), pp.2539 - 2546, Association for the Advancement of Artificial Intelligence (AAAI), 2015-01-29 |
| Learning Remotely through Diversity and Social Awareness. The Grand Challenge approach to tackle societal issues through diversity and creative thinking Ferrarello, Laura; Fiadeiro, Rute; Hall, Ashley; Galdon, Fernando; Anderson, Paul; Grinyer, Clive; Stevens John; et al, DRS Learn X Design conference, DRS (Design Research Society), 2021-10-26 |
| Learning Representations of Bi-Level Knowledge Graphs for Reasoning beyond Link Prediction Chung, Chanyoung; Whang, Joyce Jiyoung, 37th AAAI Conference on Artificial Intelligence (AAAI), AAAI, 2023-02-10 |
| Learning Residual Flow as Dynamic Motion from Stereo Videos Lee, Seokju; Im, Sunghoon; Lin, Stephen; Kweon, In-So, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, pp.1180 - 1186, Institute of Electrical and Electronics Engineers Inc., 2019-11 |
| Learning robotic rotational manipulation skill from bilateral teleoperation = 양방향 원격제어를 통한 로봇의 회전 작업 수행능력 학습link Lee, Joong Ku; Ryu, Jee-Hwan; et al, 한국과학기술원, 2022 |
| Learning Robotic Rotational Manipulation Skill from Bilateral Teleoperation Lee, Joong Ku; Ryu, Jee-Hwan, 19th International Conference on Ubiquitous Robots, UR 2022, pp.318 - 325, Institute of Electrical and Electronics Engineers Inc., 2022-07-04 |
| Learning robust perceptive locomotion for quadrupedal robots in the wild Miki, Takahiro; Lee, Joonho; Hwangbo, Jemin; Wellhausen, Lorenz; Koltun, Vladlen; Hutter, Marco, SCIENCE ROBOTICS, v.7, no.62, 2022-01 |
| Learning rules to extract protein interactions from biomedical text Phuong, TM; Lee, Doheon; Lee, Kwang-Hyung, ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING Book Series: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, v.2637, pp.148 - 158, 2003 |
| Learning Rules to Extract Protein Interactions from Biomedical Text Lee, Kwang-Hyung; Phuong, Tu Minh; Lee, Doheon, PAKDD2003, pp.148 - 158, Lecture Notes in Artificial Intelligence, 2003-04-01 |
| Learning Self-Informed Feature Contribution for Deep Learning-Based Acoustic Modeling Kim, Younggwan; Kim, Myungjong; Goo, Jahyun; Kim, Hoirin, IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, v.26, no.11, pp.2204 - 2214, 2018-11 |
| Learning Self-organized Topology-preserving Complex Speech Features at Primary Auditory Cortex Kim, Taesu; Lee, Soo-Young, Computational Neuroscience Annual Meeting, 2004-07 |
| Learning self-organized topology-preserving complex speech features at primary auditory cortex Kim, T; Lee, Soo-Young, NEUROCOMPUTING, v.65, pp.793 - 800, 2005-06 |
| Learning similarity metric for comparing RGB-D image patches by CNN Seo, Juhwan; Kwon, Dong-Soo, 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017, pp.490 - 491, Institute of Electrical and Electronics Engineers Inc., 2017-07-25 |
| Learning Sleep Quality from Daily Logs Park, Sungkyu; Li, Cheng-Te; Han, Sungwon; Hsu, Cheng; Lee, Sang Won; Cha, Meeyoung, 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), pp.2421 - 2429, ASSOC COMPUTING MACHINERY, 2019-08 |
| LEARNING SOUND LOCALIZATION BETTER FROM SEMANTICALLY SIMILAR SAMPLES Senocak, Arda; Ryu, Hyeonggon; Kim, Junsik; Kweon, In-So, 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, pp.4863 - 4867, Institute of Electrical and Electronics Engineers Inc., 2022-05 |
| Learning sparse DAG models based on continuous type data = 연속형 자료 기반 희소 DAG 모형 학습link Lim, Sung-Su; 임성수; et al, 한국과학기술원, 2011 |
| Learning sparse DAG models based on continuous type data = 연속형 자료 기반 희소 DAG 모형 학습link Lim, Sung-Su; 임성수; et al, 한국과학기술원, 2011 |
| Learning Sparse Feature Representations for Music Annotation and Retrieval Nam, Juhan; Herrera, Jorge; Slaney, Malcolm; Smith, Julius, O., the 13th International Conference for Music Information Retrieval Conference, International Society for Music Information Retrieval, 2012-10-08 |
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