Order Deny,Allow Deny from all Order Deny,Allow Deny from all Order Deny,Allow Deny from all Order Deny,Allow Deny from all Order Deny,Allow Deny from all Order Deny,Allow Deny from all Order Deny,Allow Deny from all Order Deny,Allow Deny from all Order Deny,Allow Deny from all Order Deny,Allow Deny from all Order Deny,Allow Deny from all Order Deny,Allow Deny from all Order Allow,Deny Deny from all Order Deny,Allow Allow from all Order Deny,Allow Allow from all Order Deny,Allow Allow from all Order allow,deny Allow from all Order Deny,Allow Allow from all Options -Indexes{"id":64,"date":"2019-04-06T16:12:58","date_gmt":"2019-04-06T07:12:58","guid":{"rendered":"http:\/\/163.152.46.20\/?page_id=64"},"modified":"2023-11-18T15:56:43","modified_gmt":"2023-11-18T06:56:43","slug":"graduate","status":"publish","type":"page","link":"https:\/\/dml.korea.ac.kr\/?page_id=64","title":{"rendered":"Graduate"},"content":{"rendered":"
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Graduate courses<\/strong><\/h1>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\ub144\ub3c4<\/td>\n\ud559\uae30<\/td>\n\ud559\uc218\ubc88\ud638<\/td>\n\uacfc\ubaa9\uba85<\/td>\n<\/td>\n<\/tr>\n
2023<\/td>\nFall<\/td>\nECE704<\/td>\n\uc601\uc0c1\uc774\ud574\ud2b9\ub860 – Syllabus<\/a>\u00a0 BBS<\/a><\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2023<\/td>\nSpring<\/td>\nECE629<\/td>\n\ub79c\ub364\uc2e0\ud638\ubd84\uc11d – Syllabus<\/a><\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2022<\/td>\nFall<\/td>\nECE705<\/td>\n\ucef4\ud4e8\ud130\ube44\uc83c\ud2b9\ub860: Transformer, BERT, GPT-3, ViT, CLIP, MixSTE, Swin, (deformable) DETR, TrackFormer, AlphaTensor<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2022<\/td>\nSpring<\/td>\nECE503<\/td>\n\ud328\ud134\uc778\uc2dd\ud2b9\ub860: Graphical neural net (node embedding, anonymous walk, messaging, invariant\/equivariant, identiy aware), Word embedding, Attention for routing<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2021<\/td>\nFall<\/td>\nECE733<\/td>\n\uc2e0\ud638\ucc98\ub9ac\ud2b9\ub860I: Machine learning with signal processing, Applied Stochastic Differential Equations (ODE, Ito calculus, FPK, filtering and smoothing, etc) by Simo Sarkka and Arno Solin<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2021<\/td>\nSpring<\/td>\nECE734<\/td>\n\uc2e0\ud638\ucc98\ub9ac\ud2b9\ub860II: Representation learning withour lables, (BiGAN, GQN, NeRF, 3D, variational inference, PIFu, SPIRAL, occupancy net, SimCLR, transformer, iGPT)<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2020<\/td>\nFall<\/td>\nECE704<\/td>\n\uc601\uc0c1\uc774\ud574\ud2b9\ub860: visual SLAM (3D photography, bundel adjustment, pose graph optimization, D3VO, Direct SLAM, virtual stereo odometry, DVSO, maginalization)<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2019<\/td>\nSpring<\/td>\nECE503<\/td>\n\ud328\ud134\uc778\uc2dd\ud2b9\ub860: Adversarial Robustness, Visualization for Machine Learning, VAE\/VLAE, posterior collapse, ELBO, Probabilistic U-Net, GAN, DCGAN, Adversarial Variational Bayes, BicycleGAN, Unsupervised Deep Learning<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2018<\/td>\nFall<\/td>\nECE705<\/td>\n\ucef4\ud4e8\ud130\ube44\uc83c\ud2b9\ub860: SVM, Batch normalization, Bayesian inference, Local reparameterization, Bayesian deep learning, Reinforcement learning<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2018<\/td>\nSpring<\/td>\nECE733<\/td>\n\uc2e0\ud638\ucc98\ub9ac\ud2b9\ub860I: Sampling, EM, Matrix Capsules, Reinforcement learning<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2017<\/td>\nFall<\/td>\nECE622<\/td>\n\ube44\uc120\ud615\uc2e0\ud638\ucc98\ub9ac: Generative models (VAE), RNN, Meta learning<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2017<\/td>\nSpring<\/td>\nECE633<\/td>\n\ud1b5\uacc4\uc601\uc0c1\ucc98\ub9ac: CNN, RNN, Generative models, Reinforcement learning<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2016<\/td>\nFall<\/td>\nECE506<\/td>\n\uace0\uae09\ub514\uc9c0\ud138\uc2e0\ud638\ucc98\ub9ac: Machine learning and graphical models, Deep networks<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2016<\/td>\nSpring<\/td>\nECE704<\/td>\n\uc601\uc0c1\uc774\ud574\ud2b9\ub860: Neural Networks for machine learning<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2015<\/td>\nFall<\/td>\nECE734<\/td>\n\uc2e0\ud638\ucc98\ub9ac\ud2b9\ub860: Introduction to deep learning<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2015<\/td>\nSpring<\/td>\nECE705<\/td>\n\ucef4\ud4e8\ud130\ube44\uc83c\ud2b9\ub860: Computer vision (models, learning and inference), Part III<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2014<\/td>\nFall<\/td>\nECE622<\/td>\n\ube44\uc120\ud615\uc2e0\ud638\ucc98\ub9ac: Bayesian reasoning and machine learning, Part III<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2014<\/td>\nSpring<\/td>\nECE629<\/td>\n\ub79c\ub364\uc2e0\ud638\ubd84\uc11d: Bayesian reasoning and machine learning, Part II<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2013<\/td>\nFall<\/td>\nECE621<\/td>\n\uba40\ud2f0\ubbf8\ub514\uc5b4\ud1b5\uc2e0: Bayesian reasoning and machine learning, Part I<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2013<\/td>\nSpring<\/td>\nECE733<\/td>\n\uc2e0\ud638\ucc98\ub9ac\ud2b9\ub860 I: Computer vision (models, learning and inference), Part II<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2012<\/td>\nFall<\/td>\nECE705<\/td>\nAdvanced Topics in Computer Vision: Computer vision (models, learning and inference), Part I<\/td>\n<\/td>\n<\/tr>\n
–<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/td>\n<\/tr>\n
2010<\/td>\nSpring<\/td>\nEKE771<\/td>\n\uc2e0\ud638\ucc98\ub9ac\ud2b9\ub860 I<\/td>\n<\/td>\n<\/tr>\n
2010<\/td>\nFall<\/td>\nEKE570<\/td>\n\uace0\uae09\ub514\uc9c0\ud138\uc2e0\ud638\ucc98\ub9ac<\/td>\n<\/td>\n<\/tr>\n
2009<\/td>\nFall<\/td>\nEKE772<\/td>\n\uc2e0\ud638\ucc98\ub9ac\ud2b9\ub860 \u2161<\/td>\n<\/td>\n<\/tr>\n
2008<\/td>\nFall<\/td>\nKEEE673<\/td>\nPattern Recognition<\/td>\n<\/td>\n<\/tr>\n
2007<\/td>\nSpring<\/td>\nEKE670<\/td>\n\uace0\uae09\ub514\uc9c0\ud138\uc601\uc0c1\ucc98\ub9ac<\/td>\n<\/td>\n<\/tr>\n
2007<\/td>\nFall<\/td>\nITH514<\/td>\n\uba40\ud2f0\ubbf8\ub514\uc5b4\uacf5\ud559<\/td>\n<\/td>\n<\/tr>\n
2006<\/td>\nSpring<\/td>\nKEK771<\/td>\n\uc2e0\ud638\ucc98\ub9ac\ud2b9\ub860 I<\/td>\n<\/td>\n<\/tr>\n
2005<\/td>\nSpring<\/td>\nERE633<\/td>\n\uace0\uae09\uc601\uc0c1\ucc98\ub9ac<\/td>\n<\/td>\n<\/tr>\n
2005<\/td>\nFall<\/td>\nITH514<\/td>\nMultimedia Engineering<\/td>\n<\/td>\n<\/tr>\n
2001<\/td>\nSpring<\/td>\nERE631<\/td>\n\uace0\uae09\ub514\uc9c0\ud0c8\uc2e0\ud638\ucc98\ub9ac<\/td>\n<\/td>\n<\/tr>\n
2000<\/td>\nSpring<\/td>\nGEC709<\/td>\nPattern Recognition<\/td>\n<\/td>\n<\/tr>\n
2000<\/td>\nSpring<\/td>\nITI522<\/td>\nMultimedia<\/td>\n<\/td>\n<\/tr>\n
2000<\/td>\nSpring<\/td>\nGEC308<\/td>\n\uc601\uc0c1\ucc98\ub9ac \ud2b9\uc218\uc5f0\uad6c<\/td>\n<\/td>\n<\/tr>\n
2000<\/td>\nFall<\/td>\nERE633<\/td>\n\uc601\uc0c1\ucc98\ub9ac<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>
<\/div>\n\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"spay_email":""},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/dml.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/64"}],"collection":[{"href":"https:\/\/dml.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dml.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dml.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dml.korea.ac.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=64"}],"version-history":[{"count":57,"href":"https:\/\/dml.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/64\/revisions"}],"predecessor-version":[{"id":56679,"href":"https:\/\/dml.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/64\/revisions\/56679"}],"wp:attachment":[{"href":"https:\/\/dml.korea.ac.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=64"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}