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| MET-LDPC Code Ensembles of Low Code Rates With Exponentially Few Small Weight Codewords Jeong, Suhwang; Ha, Jeongseok, IEEE TRANSACTIONS ON COMMUNICATIONS, v.69, no.6, pp.3517 - 3527, 2021-06 |
| 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 distillation for reinforcement learning = 강화 학습을 위한 메타 디스틸레이션link Nam, Taewook; Hwang, Sung Ju; et al, 한국과학기술원, 2020 |
| Meta Dropout: Learning to Perturb Latent Features for Generalization Lee, Hae Beom; Nam, Taewook; Yang, Eunho; Hwang, Sung Ju, Eighth International Conference on Learning Representations, ICLR 2020, International Conference on Learning Representations, 2020-04-27 |
| Meta Learning for the representation change in task-specific update = 과제별 학습을 통한 특징 변화를 위한 메타 학습link Yoo, Hyungjun; Yun, Se-Young; et al, 한국과학기술원, 2021 |
| 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-activated nucleophilic aromatic substitution reaction: Poly(biphenylene oxide)s with trifluoromethyl pendent groups via nitro displacement Chung, Im Sik; Kim, Sang Youl, JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, v.123, no.44, pp.11071 - 11072, 2001-11 |
| Meta-analysis method for discovering reliable biomarkers by integrating statistical and biological approaches: An application to liver toxicity Cho, Hye Young; Kim, Hyosil; Na, Dokyun; Kim, So Youn; Jo, Deokyeon; Lee, Doheon, BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, v.471, no.2, pp.274 - 281, 2016-03 |
| Meta-analysis method using integration of different effect sizes = 이종 효과크기의 조합을 이용한 바이오마커 메타분석법 개발link Cho, Hyeyoung; 조혜영; et al, 한국과학기술원, 2016 |
| Meta-analysis of Evolutionarily Conserved Transcriptome Changes in Aging Lee, Gee-Yoon; Lee, Seung Jae V; Ham, Seokjin, KSMCB International Conference 2022, KSMCB, 2022-09-28 |
| Meta-analysis of evolutionarily conserved transcriptome changes in aging 이기윤; 이승재; 함석진, 16회 대한미토콘드리아연구의학회 연례학술대회, 대한미토콘드리아연구의학회, 2022-08-26 |
| Meta-Bank: 지능형 저축투자시스템의 개발 이재규, 한국전문가시스템학회 추계학술대회 '95, 1995 |
| Meta-BCI: Perspectives on a role of self-supervised learning in meta brain computer interface Kang, Young Ho; Kim, Dongjae; Lee, Sang Wan, 10th International Winter Conference on Brain-Computer Interface (BCI), IEEE, 2022-02 |
| Meta-control of social learning strategies Yaman, Anil; Bredeche, Nicolas; Caylak, Onur; Leibo, Joel Z.; Lee, Sang Wan, PLOS COMPUTATIONAL BIOLOGY, v.18, no.2, 2022-02 |
| 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-GMVAE: Mixture of Gaussian VAEs for unsupervised meta-learning = 비지도 메타학습을 위한 가우시안 혼합 모델 기반의 생성 모델link Lee, Dong Bok; Hwang, Sung Ju; et al, 한국과학기술원, 2021 |
| Meta-GMVAE: Mixture of Gaussin VAE for Unsupervised Meta-Learning Lee, Dong Bok; Min, Dongchan; Lee, Seanie; Hwang, Sung Ju, Ninth International Conference on Learning Representation, ICLR 2021, The International Conference on Learning Representations, 2021-05-03 |
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