{"id":678,"date":"2017-03-31T15:04:58","date_gmt":"2017-03-31T06:04:58","guid":{"rendered":"https:\/\/deeplearning.jp\/?page_id=678"},"modified":"2019-01-29T15:57:26","modified_gmt":"2019-01-29T06:57:26","slug":"suzuki","status":"publish","type":"page","link":"https:\/\/deeplearning.jp\/en\/suzuki\/","title":{"rendered":"Masahiro Suzuki&#8217;s Page"},"content":{"rendered":"<p><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1500614697279\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"wpb_text_column wpb_content_element\"><div class=\"wpb_wrapper\"><ul>\n<li>\u540d\u524d\n<ul>\n<li>\u9234\u6728\u96c5\u5927\uff08Masahiro Suzuki\uff09<\/li>\n<\/ul>\n<\/li>\n<li>\u7d4c\u6b74\n<ul>\n<li>2013\u5e743\u6708 \u5317\u6d77\u9053\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d<\/li>\n<li>2015\u5e743\u6708 \u5317\u6d77\u9053\u5927\u5b66\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u5352\u696d<\/li>\n<li>2015\u5e744\u6708~ \u6771\u4eac\u5927\u5b66\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1<\/li>\n<\/ul>\n<\/li>\n<li>\u7814\u7a76\u5185\u5bb9\n<ul>\n<li>\u8ee2\u79fb\u5b66\u7fd2\uff08\u30bc\u30ed\u30b7\u30e7\u30c3\u30c8\u5b66\u7fd2\uff09\u30fb\u6df1\u5c64\u751f\u6210\u30e2\u30c7\u30eb\uff08VAE\uff09<\/li>\n<li>\u6c4e\u7528\u7684\u306aAI\u306e\u5b9f\u73fe\u306b\u8208\u5473\u304c\u3042\u308a\u307e\u3059\uff0e<\/li>\n<li>\u6700\u8fd1\u306f\u4e3b\u306b\u6b21\u306e\u3088\u3046\u306a\u7814\u7a76\u3092\u3057\u3066\u3044\u307e\u3059\uff0e\n<ul>\n<li>\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u6df1\u5c64\u751f\u6210\u30e2\u30c7\u30eb\u306e\u7814\u7a76<\/li>\n<li>\u6df1\u5c64\u751f\u6210\u30e2\u30c7\u30eb\u306b\u3088\u308b\u6761\u4ef6\u4ed8\u7570\u5e38\u691c\u77e5<\/li>\n<li>\u5c5e\u6027\u4e88\u6e2c\u4ed8\u9854\u751f\u6210\u30b7\u30b9\u30c6\u30e0\uff08<a href=\"http:\/\/fvae.ail.tokyo\/\">Demo<\/a>\uff0c<a href=\"https:\/\/deeplearning.jp\/cvae\/\">Conditional Variational Autoencoder (CVAE)<\/a>\uff09<\/li>\n<li>\u751f\u6210\u30e2\u30c7\u30eb\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u300c<a href=\"https:\/\/github.com\/masa-su\/Tars\">Tars<\/a>\u300d\u306e\u958b\u767a\uff08<a href=\"https:\/\/github.com\/masa-su\/Tars\">\u516c\u958b\u3057\u307e\u3057\u305f\uff01<\/a>\uff09<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li>\u696d\u7e3e\n<ul>\n<li>\u5b66\u4f1a\u8a8c\u8ad6\u6587\n<ul>\n<li><u>\u9234\u6728\u96c5\u5927<\/u>\u30fb\u4f50\u85e4\u6674\u5f66\u30fb\u5c0f\u5c71\u8061\u30fb\u6817\u539f\u6b63\u4ec1\u30fb\u677e\u5c3e\u8c4a,\u3000\u5c5e\u6027\u3054\u3068\u306e\u89b3\u6e2c\u78ba\u7387\u3092\u8003\u616e\u3057\u305f\u30bc\u30ed\u30b7\u30e7\u30c3\u30c8\u5b66\u7fd2\uff0c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u8ad6\u6587\u8a8c, Vol. 57, No. 5 , pp. 1-15, 2016.<\/li>\n<\/ul>\n<\/li>\n<li>\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587\n<ul>\n<li><u>Masahiro Suzuki<\/u>, Haruhiko Sato,Satoshi Oyama, Masahito Kurihara, Transfer Learning Based on the Observation Probability of Each Attribute, IEEE SMC 2014, 2014.<\/li>\n<li>Keiki\u00a0 Zen, <u>Masahiro Suzuki<\/u>, Haruhiko Sato,Satoshi Oyama, Masahito Kurihara, Monophonic Sound Source Separation by Non-negative Sparse Autoencoders, IEEE SMC 2014, 2014.<\/li>\n<li><u>Masahiro Suzuki<\/u>, Haruhiko Sato,Satoshi Oyama, Masahito Kurihara, Image Classification by Transfer Learning Based on the Predictive Ability of Each Attribute,Proceedings of the International MultiConference of Engineers and Computer Scientists 2014,Vol I, pp.75-78, 2014.<\/li>\n<\/ul>\n<\/li>\n<li>\u56fd\u969b\u4f1a\u8b70\u767a\u8868\n<ul>\n<li><u>Masahiro Suzuki<\/u>, Kotaro Nakayama, Yutaka Matsuo,\u00a0Joint Multimodal Learning with Deep Generative Models, ICLR workshop, 2017.<\/li>\n<li>Masatoshi Uehara, Issei Sato, <u>Masahiro Suzuki<\/u>, Kotaro Nakayama and Yutaka Matsuo,<b>\u00a0<\/b>b-GAN: New Framework of Generative Adversarial Networks, NIPS workshop, 2016.<\/li>\n<li>Takeshi Itoh, Jumpei Ukita, Ayaka Kato, Takaaki Kaneko, <u>Masahiro Suzuki<\/u>, Yusuke Iwasawa, Modeling the development of place cells in hippocampus, BICA, \u00a02015.<\/li>\n<\/ul>\n<\/li>\n<li>Preprint papers\n<ul>\n<li><u>Masahiro Suzuki<\/u>, Kotaro Nakayama, Yutaka Matsuo,\u00a0Joint Multimodal Learning with Deep Generative Models, arXiv, 2016.<\/li>\n<li>Joji Toyama, Masanori Misono, <u>Masahiro Suzuki<\/u>, Kotaro Nakayama, Yutaka Matsuo,\u00a0Neural Machine Translation with Latent Semantic of Image and Text, arXiv, 2016.<\/li>\n<li>Masatoshi Uehara, Issei Sato, <u>Masahiro Suzuki<\/u>, Kotaro Nakayama, Yutaka Matsuo, Generative Adversarial Nets from a Density Ratio Estimation Perspective, arXiv, 2016.<\/li>\n<\/ul>\n<\/li>\n<li>\u00a0\u56fd\u5185\u4f1a\u8b70\u767a\u8868\n<ul>\n<li>\u4e0a\u539f\u96c5\u4fca\u30fb\u4f50\u85e4\u4e00\u8aa0\u30fb<u>\u9234\u6728\u96c5\u5927<\/u>\u30fb\u4e2d\u5c71\u6d69\u592a\u90ce\u30fb\u677e\u5c3e\u8c4a,\u3000b-GAN: \u5bc6\u5ea6\u6bd4\u63a8\u5b9a\u306e\u8996\u70b9\u304b\u3089\u898b\u305fGenerative Adversarial Nets, \u7b2c19\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7, 2016.<\/li>\n<li><u>\u9234\u6728\u96c5\u5927<\/u>\u30fb\u677e\u5c3e\u8c4a,\u3000\u6df1\u5c64\u751f\u6210\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u5b66\u7fd2,2016 \u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2016.<\/li>\n<li><u>\u9234\u6728\u96c5\u5927<\/u>\u30fb\u4f50\u85e4\u6674\u5f66\u30fb\u5c0f\u5c71\u8061\u30fb\u6817\u539f\u6b63\u4ec1,\u3000\u5c5e\u6027\u3054\u3068\u306e\u89b3\u6e2c\u78ba\u7387\u3092\u8003\u616e\u3057\u305f\u8ee2\u79fb\u5b66\u7fd2,2014 \u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2014.<\/li>\n<li>\u6570\u539f\u826f\u5f66\u30fb<u>\u9234\u6728\u96c5\u5927<\/u>\u30fb\u6238\u7530\u6d69\u4e4b\u30fb\u9df2\u5d0e\u8aa0\u53f8,\u5c11\u6570\u306e\u6b63\u89e3\u30e9\u30d9\u30eb\u3092\u7528\u3044\u305f\u79fb\u52d5\u5c65\u6b74\u304b\u3089\u306e\u79fb\u52d5\u624b\u6bb5\u5224\u5b9a,2014 \u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2014.<\/li>\n<li><u>\u9234\u6728\u96c5\u5927<\/u>\u30fb\u4f50\u85e4\u6674\u5f66\u30fb\u5c0f\u5c71\u8061\u30fb\u6817\u539f\u6b63\u4ec1,\u3000\u5c5e\u6027\u3054\u3068\u306e\u4e88\u6e2c\u80fd\u529b\u3092\u8003\u616e\u3057\u305f\u5c5e\u6027\u30d9\u30fc\u30b9\u8ee2\u79fb\u5b66\u7fd2, \u60c5\u5831\u51e6\u7406\u5317\u6d77\u9053\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 2013 \u8b1b\u6f14\u8ad6\u6587\u96c6, pp. 43-46, 2013.<\/li>\n<li><u>\u9234\u6728<\/u><u>\u96c5\u5927<\/u>\u30fb\u4f50\u85e4\u6674\u5f66\u30fb\u5c0f\u5c71\u8061\u30fb\u6817\u539f\u6b63\u4ec1,\u3000\u5c5e\u6027\u3054\u3068\u306e\u4e88\u6e2c\u80fd\u529b\u306b\u57fa\u3065\u304f\u5c5e\u6027\u30d9\u30fc\u30b9\u8ee2\u79fb\u5b66\u7fd2, \u7b2c 12 \u56de\u60c5\u5831\u79d1\u5b66\u6280\u8853\u30d5\u30a9\u30fc\u30e9\u30e0\u8b1b\u6f14\u8ad6\u6587\u96c6, Vol.2, pp. 371-372, 2013.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li>\u53d7\u8cde\n<ul>\n<li>2016\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\u3000\u5b66\u751f\u5968\u52b1\u8cde<\/li>\n<li>\u5e73\u621024\u5e74\u5ea6\u5317\u6d77\u9053\u5927\u5b66\u5de5\u5b66\u90e8\u3000\u5b66\u696d\u512a\u79c0\u8cde<\/li>\n<\/ul>\n<\/li>\n<li>\u00a0\u8b1b\u6f14\n<ul>\n<li><u>\u9234\u6728<\/u><u>\u96c5\u5927<\/u>, \u6a5f\u68b0\u5b66\u7fd2\u3068\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u7406\u8ad6\u7684\u67a0\u7d44\u307f, \u7b2c2\u56de\u300c\u4eba\u5de5\u77e5\u80fd\u7b49\u304c\u7d4c\u6e08\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u7814\u7a76\u300d\u7814\u7a76\u4f1a, 2016.<\/li>\n<\/ul>\n<\/li>\n<li>\u8b1b\u7fa9\n<ul>\n<li>2016\u5e74\u5ea6Deep Learning\u57fa\u790e\u8b1b\u5ea7\u3000\u6280\u8853\u8b1b\u5e2b<\/li>\n<\/ul>\n<ul>\n<li>2016\u5e74\u5ea6\u5148\u7aef\u4eba\u5de5\u77e5\u80fd\u8ad6\u2160\u3000\u6280\u8853\u8b1b\u5e2b<\/li>\n<li>2015\u5e74\u5ea6Deep Learning\u57fa\u790e\u8b1b\u5ea7\u3000\u6280\u8853\u8b1b\u5e2b<\/li>\n<\/ul>\n<\/li>\n<li>\u30e1\u30c7\u30a3\u30a2\u53d6\u6750\u30fb\u51fa\u6f14\n<ul>\n<li>\u671d\u65e5\u65b0\u805eGLOBE\u3000\u53d6\u6750\u5354\u529b\u00a0<a href=\"http:\/\/globe.asahi.com\/news\/2017010700002.html\">link<\/a><\/li>\n<li>\u30ef\u30fc\u30eb\u30c9\u30d3\u30b8\u30cd\u30b9\u30b5\u30c6\u30e9\u30a4\u30c8(WBS)\u00a0<a href=\"http:\/\/txbiz.tv-tokyo.co.jp\/wbssp\/vod\/post_117430\/\">link<\/a><\/li>\n<li>Crimson FM\u00a0Rakuten\u30af\u30e9\u30d6\u00a0\u30c7\u30b8\u30bf\u30eb\u90e8\u3000\u30b2\u30b9\u30c8\u51fa\u6f14<\/li>\n<\/ul>\n<\/li>\n<li>\u9023\u7d61\u5148\n<ul>\n<li>masa(at)weblab.t.u-tokyo.ac.jp<\/li>\n<\/ul>\n<\/li>\n<li>\u305d\u306e\u4ed6\n<ul>\n<li>Slideshare\uff1ahttp:\/\/www.slideshare.net\/masa_s<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/p>","protected":false},"excerpt":{"rendered":"","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[],"class_list":["post-678","page","type-page","status-publish","hentry"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u540d\u524d \u9234\u6728\u96c5\u5927\uff08Masahiro Suzuki\uff09 \u7d4c\u6b74 2013\u5e743\u6708 \u5317\u6d77\u9053\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d 2015\u5e743\u6708\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<link rel=\"canonical\" href=\"https:\/\/deeplearning.jp\/en\/suzuki\/\" \/>\n\t\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.4\" \/>\n\n\t\t<!-- Google tag (gtag.js) -->\n<script async src=\"https:\/\/www.googletagmanager.com\/gtag\/js?id=G-S7YG337LDD\"><\/script>\n<script>\n  window.dataLayer = window.dataLayer || [];\n  function gtag(){dataLayer.push(arguments);}\n  gtag('js', new Date());\n\n  gtag('config', 'G-S7YG337LDD');\n<\/script>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"Deep Learning JP\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"Masahiro Suzuki\u2019s Page | Deep Learning JP\" \/>\n\t\t<meta property=\"og:description\" content=\"\u540d\u524d \u9234\u6728\u96c5\u5927\uff08Masahiro Suzuki\uff09 \u7d4c\u6b74 2013\u5e743\u6708 \u5317\u6d77\u9053\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d 2015\u5e743\u6708\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/deeplearning.jp\/en\/suzuki\/\" \/>\n\t\t<meta property=\"og:image\" content=\"https:\/\/deeplearning.jp\/wp-content\/uploads\/2018\/06\/img_DLapplied-1.jpg\" \/>\n\t\t<meta property=\"og:image:secure_url\" content=\"https:\/\/deeplearning.jp\/wp-content\/uploads\/2018\/06\/img_DLapplied-1.jpg\" \/>\n\t\t<meta property=\"og:image:width\" content=\"450\" \/>\n\t\t<meta property=\"og:image:height\" content=\"300\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2017-03-31T06:04:58+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2019-01-29T06:57:26+00:00\" \/>\n\t\t<meta name=\"twitter:card\" content=\"summary\" \/>\n\t\t<meta name=\"twitter:title\" content=\"Masahiro Suzuki\u2019s Page | Deep Learning JP\" \/>\n\t\t<meta name=\"twitter:description\" content=\"\u540d\u524d \u9234\u6728\u96c5\u5927\uff08Masahiro Suzuki\uff09 \u7d4c\u6b74 2013\u5e743\u6708 \u5317\u6d77\u9053\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d 2015\u5e743\u6708\" \/>\n\t\t<meta name=\"twitter:image\" content=\"https:\/\/deeplearning.jp\/wp-content\/uploads\/2018\/06\/img_DLapplied-1.jpg\" \/>\n\t\t<script type=\"application\/ld+json\" class=\"aioseo-schema\">\n\t\t\t{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/deeplearning.jp\\\/en\\\/suzuki\\\/#breadcrumblist\",\"itemListElement\":[{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/deeplearning.jp\\\/en\\\/#listItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/deeplearning.jp\\\/en\\\/\",\"nextItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/deeplearning.jp\\\/en\\\/suzuki\\\/#listItem\",\"name\":\"Masahiro Suzuki&#8217;s Page\"}},{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/deeplearning.jp\\\/en\\\/suzuki\\\/#listItem\",\"position\":2,\"name\":\"Masahiro Suzuki&#8217;s 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