{"id":1638,"date":"2019-07-24T13:47:00","date_gmt":"2019-07-24T04:47:00","guid":{"rendered":"http:\/\/cinetjp-static3.nict.go.jp\/japanese\/?p=1638"},"modified":"2022-09-19T21:06:03","modified_gmt":"2022-09-19T12:06:03","slug":"20190722_4202","status":"publish","type":"event","link":"http:\/\/cinetjp-static3.nict.go.jp\/japanese\/event\/20190722_4202\/","title":{"rendered":"Wenjun Bai: \u201cPriors for affective representation learning\u201d"},"content":{"rendered":"\n

2019\u5e747\u670824\u65e5\uff08\u6c34\uff09
14:00
\u4f1a\u5834\uff1a CiNet\u30001F\u3000\u5927\u4f1a\u8b70\u5ba4<\/p>\n\n\n\n

\u201cPriors for affective representation learning\u201d<\/p>\n\n\n\n

\u795e\u6238\u5927\u5b66 \u52a9\u6559
Wenjun Bai<\/p>\n\n\n\n

\u62c5\u5f53\uff1a\u6625\u91ce\u96c5\u5f66<\/a>\u3000\uff08PI\uff09<\/p>\n\n\n\n

Abstract:
Learning an optimal affective representation is at the root of affective computing. However, the discussion on priors for affective representation learning receives limited research attention. Here, I propose that an optimal affective representation should be continuous and reward orientated. Through deriving a computational model with constraints on early visual learning, I will argue that it is possible to learn continuous affective representations without human-curated labels. One step further, I will share my thoughts on how to implement other biological constraints under the information-theoretic framework, and to recast affective representation learning under the reward based reinforcement learning.<\/p>\n","protected":false},"featured_media":0,"template":"","acf":[],"_links":{"self":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/japanese\/wp-json\/wp\/v2\/event\/1638"}],"collection":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/japanese\/wp-json\/wp\/v2\/event"}],"about":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/japanese\/wp-json\/wp\/v2\/types\/event"}],"wp:attachment":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/japanese\/wp-json\/wp\/v2\/media?parent=1638"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}