{"id":478009,"date":"2023-08-09T09:25:49","date_gmt":"2023-08-09T09:25:49","guid":{"rendered":""},"modified":"2023-09-05T11:15:52","modified_gmt":"2023-09-05T11:15:52","slug":"meta-learning","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/kr\/wiki\/meta-learning\/","title":{"rendered":"\uba54\ud0c0\ub7ec\ub2dd"},"content":{"rendered":"<p>&quot;\ud559\uc2b5\uc744 \uc704\ud55c \ud559\uc2b5&quot; \ub610\ub294 &quot;\uace0\ucc28 \ud559\uc2b5&quot;\uc73c\ub85c\ub3c4 \uc54c\ub824\uc9c4 \uba54\ud0c0 \ud559\uc2b5\uc740 \ud559\uc2b5 \ud504\ub85c\uc138\uc2a4 \uc790\uccb4\ub97c \uac1c\uc120\ud558\uae30 \uc704\ud55c \uc54c\uace0\ub9ac\uc998 \ubc0f \ubc29\ubc95\ub860 \uac1c\ubc1c\uc5d0 \ucd08\uc810\uc744 \ub9de\ucd98 \uae30\uacc4 \ud559\uc2b5\uc758 \ud558\uc704 \ubd84\uc57c\uc785\ub2c8\ub2e4. \uc5ec\uae30\uc5d0\ub294 \uacfc\uac70 \uacbd\ud5d8\uc744 \ud1b5\ud574 \ud559\uc2b5\ud558\uace0 \ud559\uc2b5 \uc804\ub7b5\uc744 \uc0c8\ub85c\uc6b4 \uc791\uc5c5\uc5d0 \ud6a8\uc728\uc801\uc73c\ub85c \uc801\uc6a9\ud560 \uc218 \uc788\ub294 \ubaa8\ub378\uc744 \ub9cc\ub4dc\ub294 \uac83\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4. \uba54\ud0c0\ub7ec\ub2dd\uc744 \ud1b5\ud574 \uae30\uacc4\ub294 \ub2e4\uc591\ud55c \uc601\uc5ed\uacfc \uc791\uc5c5\uc5d0 \uac78\uccd0 \uc9c0\uc2dd\uc744 \uc77c\ubc18\ud654\ud558\ub294 \ub370 \ub354\uc6b1 \ub2a5\uc219\ud574\uc9c0\uba70, \uc774\ub294 \uc778\uacf5\uc9c0\ub2a5(AI) \ubc0f \uae30\ud0c0 \ubd84\uc57c\uc5d0 \uc911\uc694\ud55c \uc601\ud5a5\uc744 \ubbf8\uce58\ub294 \uc720\ub9dd\ud55c \uc5f0\uad6c \ubd84\uc57c\uac00 \ub429\ub2c8\ub2e4.<\/p>\n<h2>\uba54\ud0c0\ub7ec\ub2dd\uc758 \uc720\ub798\uc640 \ucd5c\ucd08 \uc5b8\uae09\uc758 \uc5ed\uc0ac<\/h2>\n<p>\uba54\ud0c0 \ud559\uc2b5\uc758 \uac1c\ub150\uc740 \uc5f0\uad6c\uc6d0\ub4e4\uc774 \uae30\uacc4 \ud559\uc2b5 \uc2dc\uc2a4\ud15c\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\uae30 \uc704\ud574 \uba54\ud0c0 \uc218\uc900 \uc815\ubcf4\ub97c \uc0ac\uc6a9\ud558\ub294 \uc544\uc774\ub514\uc5b4\ub97c \uc870\uc0ac\ud558\uae30 \uc2dc\uc791\ud55c 1980\ub144\ub300 \ucd08\ubc18\uc73c\ub85c \uac70\uc2ac\ub7ec \uc62c\ub77c\uac11\ub2c8\ub2e4. &#039;\uba54\ud0c0 \ud559\uc2b5&#039;\uc774\ub77c\ub294 \uc6a9\uc5b4\ub294 1995\ub144 Donald Michie\uc758 &#039;Meta-Learning and Symbolic Data Analysis&#039;\ub77c\ub294 \ub17c\ubb38\uc5d0\uc11c \ucc98\uc74c \uc18c\uac1c\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uba54\ud0c0 \ud559\uc2b5\uc758 \uae30\ubcf8 \uc6d0\ub9ac\ub294 Herbert Simon\uc758 &#039; 1969\ub144 The Sciences of the Artificial&#039;\uc5d0\uc11c \uadf8\ub294 \uc778\uc9c0 \uc2dc\uc2a4\ud15c\uc758 \ub9e5\ub77d \ub0b4\uc5d0\uc11c &#039;\ud559\uc2b5\uc744 \uc704\ud55c \ud559\uc2b5&#039;\uc774\ub77c\ub294 \uac1c\ub150\uc744 \ub17c\uc758\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\uba54\ud0c0\ub7ec\ub2dd \uc0c1\uc138\uc815\ubcf4<\/h2>\n<p>\uba54\ud0c0\ub7ec\ub2dd\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \uace0\uc815\ub41c \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c \ud559\uc2b5\ud558\uace0 \ud2b9\uc815 \uc791\uc5c5\uc5d0 \ub300\ud55c \uc131\ub2a5\uc744 \ucd5c\uc801\ud654\ud558\ub294 \ub370 \uc911\uc810\uc744 \ub450\ub294 \uc804\ud1b5\uc801\uc778 \uae30\uacc4 \ud559\uc2b5 \ud328\ub7ec\ub2e4\uc784\uc744 \ub6f0\uc5b4\ub118\uc2b5\ub2c8\ub2e4. \ub300\uc2e0 \uba54\ud0c0\ub7ec\ub2dd\uc740 \uc81c\ud55c\ub41c \uc591\uc758 \ub370\uc774\ud130\ub098 \uc0c8\ub85c\uc6b4 \uc791\uc5c5\uc744 \ud1b5\ud574 \ubcf4\ub2e4 \ud6a8\uc728\uc801\uc73c\ub85c \uc801\uc751\ud558\uace0 \ud559\uc2b5\ud560 \uc218 \uc788\ub294 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \uac83\uc744 \ubaa9\ud45c\ub85c \ud569\ub2c8\ub2e4. \uba54\ud0c0 \ud559\uc2b5\uc758 \uc8fc\uc694 \ucd08\uc810\uc740 \ud559\uc2b5 \uacfc\uc815 \uc790\uccb4\uc5d0 \ub300\ud55c \uc9c0\uc2dd\uc778 &#039;\uba54\ud0c0 \uc9c0\uc2dd&#039;\uc744 \uc2b5\ub4dd\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<p>\uae30\uc874 \uae30\uacc4 \ud559\uc2b5\uc5d0\uc11c \uc54c\uace0\ub9ac\uc998\uc740 \ud2b9\uc815 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub300\ud574 \ud6c8\ub828\ub418\uba70 \uc131\ub2a5\uc740 \ud6c8\ub828 \ub370\uc774\ud130\uc758 \ud488\uc9c8\uacfc \ud06c\uae30\uc5d0 \ud06c\uac8c \uc88c\uc6b0\ub429\ub2c8\ub2e4. \uc0c8\ub85c\uc6b4 \uc791\uc5c5\uc774\ub098 \uc601\uc5ed\uc5d0 \uc9c1\uba74\ud588\uc744 \ub54c \uc774\ub7ec\ud55c \ubaa8\ub378\uc740 \uc77c\ubc18\ud654\ud558\ub294 \ub370 \uc5b4\ub824\uc6c0\uc744 \uacaa\uace0 \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130\uc5d0 \ub300\ud55c \uc7ac\uad50\uc721\uc774 \ud544\uc694\ud55c \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uba54\ud0c0 \ud559\uc2b5\uc740 \uc5ec\ub7ec \uc791\uc5c5\uacfc \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c \ud559\uc2b5\ud558\uace0, \uacf5\ud1b5 \ud328\ud134\uc744 \ucd94\ucd9c\ud558\uace0, \ub2e4\uc591\ud55c \ud559\uc2b5 \ubb38\uc81c\uc5d0 \ub300\ud55c \ub354 \ub192\uc740 \uc218\uc900\uc758 \uc774\ud574\ub97c \uad6c\ucd95\ud568\uc73c\ub85c\uc368 \uc774\ub7ec\ud55c \ud55c\uacc4\ub97c \ud574\uacb0\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ubaa8\ub378\uc740 \uc774\uc804 \ud559\uc2b5 \uacbd\ud5d8\uc5d0\uc11c \uc5bb\uc740 \uc9c0\uc2dd\uc744 \ud65c\uc6a9\ud558\uc5ec \ucd5c\uc18c\ud55c\uc758 \ub370\uc774\ud130\ub85c\ub3c4 \uc0c8\ub85c\uc6b4 \uc791\uc5c5\uc5d0 \ube60\ub974\uac8c \uc801\uc751\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\uba54\ud0c0\ub7ec\ub2dd\uc758 \ub0b4\ubd80 \uad6c\uc870: \uba54\ud0c0\ub7ec\ub2dd \uc791\ub3d9 \ubc29\uc2dd<\/h2>\n<p>\uba54\ud0c0 \ud559\uc2b5\uc5d0\ub294 \uc77c\ubc18\uc801\uc73c\ub85c &quot;\uba54\ud0c0 \ud559\uc2b5\uc790&quot;\uc640 &quot;\uae30\ubcf8 \ud559\uc2b5\uc790&quot;\ub77c\ub294 \ub450 \uac00\uc9c0 \uc8fc\uc694 \uad6c\uc131 \uc694\uc18c\uac00 \ud3ec\ud568\ub429\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uad6c\uc131\uc694\uc18c\uc640 \uc774\ub4e4\uc774 \uc5b4\ub5bb\uac8c \ud568\uaed8 \uc791\ub3d9\ud558\ub294\uc9c0 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\uba54\ud0c0 \ud559\uc2b5\uc790:<\/strong> \uba54\ud0c0 \ud559\uc2b5\uc790\ub294 \uc5ec\ub7ec \uc791\uc5c5\uacfc \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c \ud559\uc2b5\uc744 \ub2f4\ub2f9\ud558\ub294 \uc0c1\uc704 \uc218\uc900 \uc54c\uace0\ub9ac\uc998\uc785\ub2c8\ub2e4. \ub2e4\uc591\ud55c \uc791\uc5c5\uc5d0 \uac78\uccd0 \uae30\ubcf8 \ud559\uc2b5\uc790\uc758 \uacbd\ud5d8\uc5d0\uc11c \ud328\ud134, \uc804\ub7b5 \ubc0f \uc77c\ubc18\ud654\ub97c \ud3ec\ucc29\ud558\ub294 \uac83\uc744 \ubaa9\ud45c\ub85c \ud569\ub2c8\ub2e4. \uba54\ud0c0 \ud559\uc2b5\uc790\ub294 \uae30\ubcf8 \ud559\uc2b5\uc790\uac00 \ub2e4\uc591\ud55c \uc791\uc5c5\uc744 \uc5b4\ub5bb\uac8c \uc218\ud589\ud558\ub294\uc9c0 \uad00\ucc30\ud558\uace0 \ub9e4\uac1c\ubcc0\uc218\ub97c \uc870\uc815\ud558\uc5ec \uae30\ubcf8 \ud559\uc2b5\uc790\uc758 \ud559\uc2b5 \ub2a5\ub825\uc744 \ud5a5\uc0c1\uc2dc\ud0b5\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uba54\ud0c0 \ud559\uc2b5\uc790\ub294 \uc2e0\uacbd\ub9dd, \uac15\ud654 \ud559\uc2b5 \uc5d0\uc774\uc804\ud2b8 \ub610\ub294 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\ub85c \uad6c\ud604\ub429\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uae30\ubcf8 \ud559\uc2b5\uc790:<\/strong> \uae30\ubcf8 \ud559\uc2b5\uae30\ub294 \uac1c\ubcc4 \uc791\uc5c5\uc774\ub098 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub300\ud574 \ud6c8\ub828\ub418\ub294 \ud45c\uc900 \uae30\uacc4 \ud559\uc2b5 \uc54c\uace0\ub9ac\uc998\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \ud2b9\uc815 \ub370\uc774\ud130\uc5d0 \ub300\ud55c 1\ucc28 \ud559\uc2b5\uc744 \uc218\ud589\ud558\ub294 \uc5ed\ud560\uc744 \ub2f4\ub2f9\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uae30\ubcf8 \ud559\uc2b5\uae30\ub294 \uc774\ubbf8\uc9c0 \uc778\uc2dd\uc744 \uc704\ud55c \uc2e0\uacbd\ub9dd\uc774\uac70\ub098 \ubd84\ub958 \uc791\uc5c5\uc744 \uc704\ud55c \uc758\uc0ac\uacb0\uc815 \ud2b8\ub9ac\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<p>\uba54\ud0c0 \ud559\uc2b5\uae30\uc640 \uae30\ubcf8 \ud559\uc2b5\uae30\ub294 \ubc18\ubcf5\uc801\uc73c\ub85c \uc791\uc5c5\ud558\uba70, \uba54\ud0c0 \ud559\uc2b5\uae30\ub294 \uae30\ubcf8 \ud559\uc2b5\uae30 \uc131\ub2a5\uc758 \ud53c\ub4dc\ubc31\uc744 \uae30\ubc18\uc73c\ub85c \ub9e4\uac1c\ubcc0\uc218\ub97c \uc870\uc815\ud569\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc740 \uba54\ud0c0 \ud559\uc2b5\uc790\uac00 \uc0c8\ub85c\uc6b4 \uc791\uc5c5\uc5d0 \ud6a8\uc728\uc801\uc73c\ub85c \uc801\uc751\ud560 \uc218 \uc788\ub294 \uc758\ubbf8 \uc788\ub294 \uba54\ud0c0 \uc9c0\uc2dd\uc744 \uc131\uacf5\uc801\uc73c\ub85c \ud68d\ub4dd\ud560 \ub54c\uae4c\uc9c0 \uacc4\uc18d\ub429\ub2c8\ub2e4.<\/p>\n<h2>\uba54\ud0c0\ub7ec\ub2dd\uc758 \uc8fc\uc694 \ud2b9\uc9d5 \ubd84\uc11d<\/h2>\n<p>\uba54\ud0c0\ub7ec\ub2dd\uc740 \uae30\uc874\uc758 \uae30\uacc4 \ud559\uc2b5 \uc811\uadfc \ubc29\uc2dd\uacfc \uad6c\ubcc4\ub418\ub294 \uba87 \uac00\uc9c0 \uc8fc\uc694 \uae30\ub2a5\uc744 \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\ube60\ub978 \uc801\uc751:<\/strong> \uba54\ud0c0 \ud559\uc2b5\uc744 \ud1b5\ud574 \ubaa8\ub378\uc740 \uc81c\ud55c\ub41c \ub370\uc774\ud130\ub85c\ub3c4 \uc0c8\ub85c\uc6b4 \uc791\uc5c5\uc744 \ube60\ub974\uac8c \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ube60\ub978 \uc801\uc751 \ub2a5\ub825\uc740 \uc791\uc5c5\uc774 \uc790\uc8fc \ubcc0\uacbd\ub418\ub294 \ub3d9\uc801 \ud658\uacbd\uc5d0\uc11c \ub9e4\uc6b0 \uc911\uc694\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc804\uc774 \ud559\uc2b5:<\/strong> \uba54\ud0c0\ub7ec\ub2dd\uc740 \uc791\uc5c5 \uac04\uc758 \uc9c0\uc2dd \uc804\ub2ec\uc744 \ucd09\uc9c4\ud569\ub2c8\ub2e4. \uba54\ud0c0 \ud559\uc2b5\uc790\ub294 \uc791\uc5c5 \uc804\ubc18\uc5d0 \uac78\uccd0 \uacf5\ud1b5 \ud328\ud134\uacfc \uc6d0\uce59\uc744 \uc2dd\ubcc4\ud558\ub294 \ubc29\ubc95\uc744 \ud559\uc2b5\ud558\uc5ec \ub354 \ub098\uc740 \uc77c\ubc18\ud654\ub97c \ucd09\uc9c4\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ud4e8\uc0f7 \ub610\ub294 \uc81c\ub85c\uc0f7 \ud559\uc2b5:<\/strong> \uba54\ud0c0 \ud559\uc2b5\uc744 \uc0ac\uc6a9\ud558\uba74 \ubaa8\ub378\uc740 \uba87 \uac00\uc9c0 \uc608\ub9cc \uc0ac\uc6a9\ud558\uac70\ub098 \uc0c8 \uc791\uc5c5\uc758 \uc608\ub97c \uc804\ud600 \ubcf4\uc9c0 \uc54a\uace0\ub3c4 \uc0c8 \uc791\uc5c5\uc73c\ub85c \uc77c\ubc18\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4(\uc81c\ub85c\uc0f7 \ud559\uc2b5).<\/p>\n<\/li>\n<li>\n<p><strong>\ud5a5\uc0c1\ub41c \uc2dc\ub8cc \ud6a8\uc728\uc131:<\/strong> \uba54\ud0c0 \ud559\uc2b5\uc740 \uad11\ubc94\uc704\ud55c \ub370\uc774\ud130 \uc218\uc9d1\uc758 \ud544\uc694\uc131\uc744 \uc904\uc774\uace0 \ud559\uc2b5 \ud504\ub85c\uc138\uc2a4 \uc18d\ub3c4\ub97c \ub192\uc5ec \uc0d8\ud50c \ud6a8\uc728\uc131\uc744 \ub192\uc5ec\uc90d\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ub3c4\uba54\uc778 \uc801\uc751:<\/strong> \uba54\ud0c0 \ud559\uc2b5\uc740 \uc0c8\ub85c\uc6b4 \uc601\uc5ed\uc5d0 \uc801\uc751\ud560 \uc218 \uc788\uc73c\ubbc0\ub85c \ubaa8\ub378\uc774 \ud6c8\ub828 \ub370\uc774\ud130\uc640 \ub2e4\ub978 \ud658\uacbd\uc5d0\uc11c \ud6a8\uacfc\uc801\uc73c\ub85c \uc791\ub3d9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>\uba54\ud0c0\ub7ec\ub2dd\uc758 \uc885\ub958<\/h2>\n<p>\uba54\ud0c0\ub7ec\ub2dd\uc740 \uc0ac\uc6a9\ub418\ub294 \uc811\uadfc\ubc95\uacfc \ubc29\ubc95\ub860\uc5d0 \ub530\ub77c \uc5ec\ub7ec \uc720\ud615\uc73c\ub85c \ubd84\ub958\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \ud45c\ub294 \uc8fc\uc694 \uba54\ud0c0 \ud559\uc2b5 \uc720\ud615\uc5d0 \ub300\ud55c \uac1c\uc694\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n<table>\n<thead>\n<tr>\n<th>\uc720\ud615<\/th>\n<th>\uc124\uba85<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\ubaa8\ub378\uc5d0 \uad6c\uc560\ubc1b\uc9c0 \uc54a\ub294 \ubc29\ubc95<\/td>\n<td>\uc774\ub7ec\ud55c \ubc29\ubc95\uc740 \ubaa8\ub4e0 \uae30\ubcf8 \ud559\uc2b5\uae30\uc5d0 \uc801\uc6a9\ud560 \uc218 \uc788\uc73c\uba70 \uba54\ud0c0 \uae30\uc6b8\uae30\ub97c \uae30\ubc18\uc73c\ub85c \ubaa8\ub378 \ub9e4\uac1c\ubcc0\uc218\ub97c \uc5c5\ub370\uc774\ud2b8\ud558\ub294 \uc791\uc5c5\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc778 \ubaa8\ub378 \ub3c5\ub9bd\uc801 \ubc29\ubc95\uc5d0\ub294 MAML(Model-Agnostic Meta-Learning) \ubc0f Reptile\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td>\uba54\ud2b8\ub9ad \uae30\ubc18 \ubc29\ubc95<\/td>\n<td>\uc774\ub7ec\ud55c \ubc29\ubc95\uc740 \uc791\uc5c5 \uac04\uc758 \uc720\uc0ac\uc131\uc744 \ud3c9\uac00\ud558\uae30 \uc704\ud574 \uac70\ub9ac \uce21\uc815 \uae30\uc900\uc744 \ud559\uc2b5\ud558\uace0 \uc774 \uce21\uc815 \uae30\uc900\uc744 \uc801\uc751\uc5d0 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \ud504\ub85c\ud1a0\ud0c0\uc785 \ub124\ud2b8\uc6cc\ud06c\uc640 \ub9e4\uce6d \ub124\ud2b8\uc6cc\ud06c\ub294 \uba54\ud2b8\ub9ad \uae30\ubc18 \uba54\ud0c0 \ud559\uc2b5\uc758 \uc608\uc785\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td>\uba54\ubaa8\ub9ac \uc99d\uac15 \ubc29\ubc95<\/td>\n<td>\uba54\ubaa8\ub9ac \uc99d\uac15 \uba54\ud0c0 \ud559\uc2b5 \ubaa8\ub378\uc740 \uacfc\uac70 \uacbd\ud5d8\uc758 \uba54\ubaa8\ub9ac \ubc84\ud37c\ub97c \uc720\uc9c0\ud558\uace0 \uc774\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc0c8\ub85c\uc6b4 \uc791\uc5c5\uc5d0 \uc801\uc751\ud569\ub2c8\ub2e4. \uc2e0\uacbd \ud29c\ub9c1 \uba38\uc2e0\uacfc \uba54\ubaa8\ub9ac \ub124\ud2b8\uc6cc\ud06c\uac00 \uc774 \ubc94\uc8fc\uc5d0 \uc18d\ud569\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td>\ubca0\uc774\uc9c0\uc548 \ubc29\ubc95<\/td>\n<td>\ubca0\uc774\uc9c0\uc548 \uba54\ud0c0 \ud559\uc2b5\uc740 \ud655\ub960 \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \uc801\uc751 \uc911\uc5d0 \ubd88\ud655\uc2e4\uc131\uc744 \ud30c\uc545\ud558\uace0 \uc815\ubcf4\uc5d0 \uc785\uac01\ud55c \uacb0\uc815\uc744 \ub0b4\ub9bd\ub2c8\ub2e4. Variational Inference\uc640 Bayesian Optimization\uc740 \uc77c\ubc18\uc801\uc778 \ubca0\uc774\uc9c0\uc548 \uba54\ud0c0 \ud559\uc2b5 \uae30\uc220\uc785\ub2c8\ub2e4.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\uba54\ud0c0\ub7ec\ub2dd \ud65c\uc6a9\ubc29\ubc95\uacfc \ud65c\uc6a9\uc5d0 \ub530\ub978 \ubb38\uc81c\uc810 \ubc0f \ud574\uacb0\ubc29\ubc95<\/h2>\n<p>\uba54\ud0c0 \ud559\uc2b5\uc758 \uc801\uc6a9\uc740 \ub2e4\uc591\ud55c \ub3c4\uba54\uc778\uacfc \uc2dc\ub098\ub9ac\uc624\ub85c \ud655\uc7a5\ub418\uba70 \uac01\uac01\uc758 \uacfc\uc81c\uc640 \uc194\ub8e8\uc158\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\ud4e8\uc0f7 \ud559\uc2b5:<\/strong> \uc81c\ud55c\ub41c \ub808\uc774\ube14\uc774 \uc9c0\uc815\ub41c \ub370\uc774\ud130\uac00 \uc788\ub294 \ub3c4\uba54\uc778\uc5d0\uc11c\ub294 \ubaa8\ub378\uc774 \uc18c\uc218\uc758 \uc608\ub97c \ud1b5\ud574 \ud559\uc2b5\ud558\ub294 \uc18c\uc218 \ud559\uc2b5\uc744 \ud65c\uc131\ud654\ud558\uae30 \uc704\ud574 \uba54\ud0c0 \ud559\uc2b5\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ucd08\ub9e4\uac1c\ubcc0\uc218 \ucd5c\uc801\ud654:<\/strong> \uba54\ud0c0\ub7ec\ub2dd \uae30\uc220\uc740 \uae30\uacc4 \ud559\uc2b5 \ubaa8\ub378\uc744 \uc704\ud55c \ucd5c\uc801\uc758 \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \uc120\ud0dd\uc744 \uc790\ub3d9\ud654\ud558\uc5ec \uc131\ub2a5\uacfc \ud6a8\uc728\uc131\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uac15\ud654 \ud559\uc2b5:<\/strong> \uba54\ud0c0\ub7ec\ub2dd\uc740 \uac15\ud654\ud559\uc2b5 \uc5d0\uc774\uc804\ud2b8\uc758 \ud6c8\ub828\uc744 \uac00\uc18d\ud654\ud558\ub294 \ub370 \ud65c\uc6a9\ub418\uc5b4 \uac15\ud654\ud559\uc2b5 \uc5d0\uc774\uc804\ud2b8\uac00 \uc0c8\ub85c\uc6b4 \ud658\uacbd\uc5d0 \uc2e0\uc18d\ud558\uac8c \uc801\uc751\ud560 \uc218 \uc788\ub3c4\ub85d \ud574\uc90d\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc804\uc774 \ud559\uc2b5:<\/strong> \uba54\ud0c0 \ud559\uc2b5\uc740 \uad00\ub828 \uc791\uc5c5 \uac04\uc758 \uc9c0\uc2dd \uc774\uc804\uc744 \ucd09\uc9c4\ud558\uc5ec \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub300\ud55c \uad11\ubc94\uc704\ud55c \uc7ac\uad50\uc721\uc758 \ud544\uc694\uc131\uc744 \uc904\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uce58\uba85\uc801\uc778 \ub9dd\uac01:<\/strong> \ubaa8\ub378\uc774 \uc0c8\ub85c\uc6b4 \uc791\uc5c5\uc744 \ud559\uc2b5\ud560 \ub54c \uc774\uc804 \uc9c0\uc2dd\uc744 \uc78a\uc5b4\ubc84\ub9ac\ub294 \uc21c\ucc28 \ud559\uc2b5\uc758 \uc77c\ubc18\uc801\uc778 \ubb38\uc81c\uc785\ub2c8\ub2e4. \uba54\ud0c0\ub7ec\ub2dd\uc740 \ud559\uc2b5\ub41c \uc9c0\uc2dd\uc744 \ubcf4\uc874\ud558\uc5ec \uc774 \ubb38\uc81c\ub97c \uc644\ud654\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ub370\uc774\ud130 \ud655\ub300:<\/strong> \uba54\ud0c0\ub7ec\ub2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \ud655\ub300 \uc804\ub7b5\uc744 \ucd5c\uc801\ud654\ud558\uace0 \ubaa8\ub378 \uacac\uace0\uc131\uacfc \uc77c\ubc18\ud654\ub97c \ud5a5\uc0c1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>\uc8fc\uc694 \ud2b9\uc9d5 \ubc0f \uae30\ud0c0 \uc720\uc0ac \uc6a9\uc5b4\uc640\uc758 \ube44\uad50<\/h2>\n<p>\uba54\ud0c0\ub7ec\ub2dd\uc744 \uad00\ub828 \uc6a9\uc5b4\uc640 \uad6c\ubcc4\ud558\uace0 \uc8fc\uc694 \ud2b9\uc9d5\uc744 \uac15\uc870\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\uba54\ud0c0 \ud559\uc2b5\uacfc \uc804\uc774 \ud559\uc2b5:<\/strong> \uba54\ud0c0 \ud559\uc2b5\uacfc \uc804\uc774 \ud559\uc2b5 \ubaa8\ub450 \uc9c0\uc2dd \uc804\ub2ec\uc744 \ud3ec\ud568\ud558\uc9c0\ub9cc \uc804\uc774 \ud559\uc2b5\uc740 \ud2b9\uc815 \uc791\uc5c5\uc758 \uc9c0\uc2dd\uc744 \ub2e4\ub978 \uc791\uc5c5\uc5d0 \uc801\uc6a9\ud558\ub294 \ub370 \uc911\uc810\uc744 \ub461\ub2c8\ub2e4. \ub300\uc870\uc801\uc73c\ub85c, \uba54\ud0c0 \ud559\uc2b5\uc740 \ub2e4\uc591\ud55c \uc601\uc5ed\uc5d0 \uac78\uccd0 \ud559\uc2b5 \uacfc\uc81c\uc5d0 \ub300\ud55c \ub354 \ub192\uc740 \uc218\uc900\uc758 \uc774\ud574\ub97c \ud559\uc2b5\ud558\ub294 \ub370 \uc911\uc810\uc744 \ub461\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uba54\ud0c0 \ud559\uc2b5\uacfc \uac15\ud654 \ud559\uc2b5:<\/strong> \uac15\ud654 \ud559\uc2b5\uc5d0\ub294 \ud658\uacbd\uc5d0\uc11c \ud2b9\uc815 \ubaa9\ud45c\ub97c \ub2ec\uc131\ud558\uae30 \uc704\ud574 \uc2dc\ud589\ucc29\uc624\ub97c \ud1b5\ud574 \ud559\uc2b5\ud558\ub294 \uc5d0\uc774\uc804\ud2b8\uac00 \ud3ec\ud568\ub429\ub2c8\ub2e4. \uba54\ud0c0 \ud559\uc2b5\uc740 \uc0c8\ub85c\uc6b4 \uc791\uc5c5\uacfc \ud658\uacbd\uc5d0 \ube60\ub974\uac8c \uc801\uc751\ud558\ub294 \uc5d0\uc774\uc804\ud2b8\uc758 \ub2a5\ub825\uc744 \ud5a5\uc0c1\uc2dc\ucf1c \uac15\ud654 \ud559\uc2b5\uc744 \ubcf4\uc644\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uba54\ud0c0 \ud559\uc2b5\uacfc \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \ucd5c\uc801\ud654:<\/strong> \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \ucd5c\uc801\ud654\ub294 \ud2b9\uc815 \ubaa8\ub378\uc5d0 \ub300\ud55c \ucd5c\uc801\uc758 \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\ub97c \ucc3e\ub294 \uc791\uc5c5\uc744 \ub2e4\ub8f9\ub2c8\ub2e4. \uba54\ud0c0 \ud559\uc2b5\uc740 \ub2e4\uc591\ud55c \uc791\uc5c5\uc5d0 \uac78\uccd0 \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\ub97c \ud6a8\uc728\uc801\uc73c\ub85c \uc801\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ud559\uc2b5\ud558\uc5ec \uc774 \ud504\ub85c\uc138\uc2a4\ub97c \uc790\ub3d9\ud654\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uba54\ud0c0 \ud559\uc2b5\uacfc Few-shot \ud559\uc2b5:<\/strong> \ud4e8\uc0f7 \ud559\uc2b5(few-shot learning)\uc740 \uc81c\ud55c\ub41c \uc218\uc758 \uc0ac\ub840\ub85c\ubd80\ud130 \ud559\uc2b5\ud560 \uc218 \uc788\ub294 \ubaa8\ub378\uc758 \ub2a5\ub825\uc744 \ub9d0\ud569\ub2c8\ub2e4. \uba54\ud0c0\ub7ec\ub2dd\uc740 \uacfc\uac70\uc758 \uacbd\ud5d8\uc744 \ubc14\ud0d5\uc73c\ub85c \uc0c8\ub85c\uc6b4 \uacfc\uc81c\uc5d0 \uc801\uc751\ud558\ub294 \ubc29\ubc95\uc744 \ud559\uc2b5\ud568\uc73c\ub85c\uc368 Few-Shot \ud559\uc2b5\uc744 \ucd09\uc9c4\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>\uba54\ud0c0\ub7ec\ub2dd\uc5d0 \ub300\ud55c \ubbf8\ub798\uc758 \uad00\uc810\uacfc \uae30\uc220<\/h2>\n<p>\uba54\ud0c0\ub7ec\ub2dd\uc758 \ubbf8\ub798\uc5d0\ub294 \uc720\ub9dd\ud55c \ubc1c\uc804\uacfc \uc7a0\uc7ac\uc801\uc778 \uc751\uc6a9\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uae30\uc220\uc774 \ubc1c\uc804\ud568\uc5d0 \ub530\ub77c \ub2e4\uc74c\uacfc \uac19\uc740 \ubc1c\uc804\uc744 \uae30\ub300\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\uc790\uc728 \uc2dc\uc2a4\ud15c\uc744 \uc704\ud55c \uba54\ud0c0\ub7ec\ub2dd:<\/strong> \uba54\ud0c0\ub7ec\ub2dd\uc740 \uc778\uac04\uc758 \uac1c\uc785 \uc5c6\uc774 \uc0c8\ub85c\uc6b4 \uc0c1\ud669\uc5d0 \uc9c0\uc18d\uc801\uc73c\ub85c \ud559\uc2b5\ud558\uace0 \uc801\uc751\ud560 \uc218 \uc788\ub294 \uc9c0\ub2a5\ud615 \uc790\uc728 \uc2dc\uc2a4\ud15c\uc744 \uac1c\ubc1c\ud558\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud560 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>AI \ubaa8\ub378\uc758 \ud5a5\uc0c1\ub41c \uc77c\ubc18\ud654:<\/strong> \uba54\ud0c0 \ud559\uc2b5\uc758 \ub3c4\uc6c0\uc73c\ub85c AI \ubaa8\ub378\uc740 \ud5a5\uc0c1\ub41c \uc77c\ubc18\ud654 \ub2a5\ub825\uc744 \ubcf4\uc5ec\uc90c\uc73c\ub85c\uc368 \ub354\uc6b1 \uc548\uc815\uc801\uc774\uace0 \ub2e4\uc591\ud55c \uc2e4\uc81c \uc2dc\ub098\ub9ac\uc624\ub97c \ucc98\ub9ac\ud560 \uc218 \uc788\uac8c \ub429\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ub3c4\uba54\uc778 \uac04 AI \uc194\ub8e8\uc158:<\/strong> \uba54\ud0c0\ub7ec\ub2dd\uc744 \ud1b5\ud574 AI \ubaa8\ub378\uc740 \uc11c\ub85c \ub2e4\ub978 \uc601\uc5ed \uac04\uc5d0 \uc9c0\uc2dd\uc744 \uc804\ub2ec\ud560 \uc218 \uc788\uc5b4 \ub354\uc6b1 \ub2e4\uc591\ud558\uace0 \uc801\uc751 \uac00\ub2a5\ud55c \uc2dc\uc2a4\ud15c\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc758\ub8cc\ub97c \uc704\ud55c \uba54\ud0c0\ub7ec\ub2dd:<\/strong> \uba54\ud0c0\ub7ec\ub2dd\uc744 \uc801\uc6a9\ud558\uba74 \uc758\ub8cc \uc9c4\ub2e8 \ubc0f \uce58\ub8cc \uacc4\ud68d\uc744 \ucd5c\uc801\ud654\ud558\uc5ec \uac1c\uc778\ud654\ub418\uace0 \ub370\uc774\ud130 \ud6a8\uc728\uc801\uc778 \uc758\ub8cc \uc194\ub8e8\uc158\uc744 \uad6c\ud604\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>AI \ubaa8\ub378\uc744 \uc704\ud55c \ub354 \ube60\ub978 \ud6c8\ub828:<\/strong> \uba54\ud0c0\ub7ec\ub2dd \uae30\uc220\uc774 \ubc1c\uc804\ud568\uc5d0 \ub530\ub77c \ubcf5\uc7a1\ud55c AI \ubaa8\ub378\uc758 \ud6c8\ub828 \uc2dc\uac04\uc774 \ud06c\uac8c \uc904\uc5b4\ub4e4\uc5b4 \uac1c\ubc1c \ud504\ub85c\uc138\uc2a4\uac00 \ub354\uc6b1 \ud6a8\uc728\uc801\uc73c\ub85c \uc774\ub8e8\uc5b4\uc9c8 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>\ud504\ub85d\uc2dc \uc11c\ubc84\ub97c \uc0ac\uc6a9\ud558\uac70\ub098 \uba54\ud0c0 \ud559\uc2b5\uacfc \uc5f0\uacb0\ud558\ub294 \ubc29\ubc95<\/h2>\n<p>\ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \uba54\ud0c0 \ud559\uc2b5 \uc5f0\uad6c \ubc0f \uc2e4\uc81c \uc751\uc6a9\uc744 \ucd09\uc9c4\ud558\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud504\ub85d\uc2dc \uc11c\ubc84\ub97c \uba54\ud0c0 \ud559\uc2b5\uacfc \uc5f0\uacb0\ud560 \uc218 \uc788\ub294 \uba87 \uac00\uc9c0 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\ub370\uc774\ud130 \ud655\uc7a5 \ubc0f \uac1c\uc778\uc815\ubcf4 \ubcf4\ud638:<\/strong> \ud504\ub85d\uc2dc \uc11c\ubc84\ub97c \uc0ac\uc6a9\ud558\uba74 \uba54\ud0c0 \ud559\uc2b5 \uc791\uc5c5\uc744 \uc704\ud55c \ub2e4\uc591\ud55c \uac1c\uc778 \uc815\ubcf4 \ubcf4\ud638 \ub370\uc774\ud130\ub97c \uc0dd\uc131\ud560 \uc218 \uc788\uc73c\ubbc0\ub85c \ubaa8\ub378\uc774 \ubbfc\uac10\ud55c \uc815\ubcf4\ub97c \ubcf4\ud638\ud558\uba74\uc11c \ub354 \uad11\ubc94\uc704\ud55c \uacbd\ud5d8\uc744 \ud1b5\ud574 \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ub3c4\uba54\uc778 \uac04 \ud559\uc2b5:<\/strong> \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \ub2e4\uc591\ud55c \ub3c4\uba54\uc778\uc5d0\uc11c \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uace0 \uc774\ub97c \uba54\ud0c0 \ud559\uc2b5\uc790\uc5d0\uac8c \ubc30\ud3ec\ud558\uc5ec \ub3c4\uba54\uc778 \uac04 \ud559\uc2b5 \ubc0f \uc9c0\uc2dd \uc804\ub2ec\uc744 \ucd09\uc9c4\ud558\ub294 \uc911\uac1c\uc790 \uc5ed\ud560\uc744 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ubd84\uc0b0 \uba54\ud0c0 \ud559\uc2b5:<\/strong> \ud504\ub85d\uc2dc \uc11c\ubc84\ub97c \ud65c\uc6a9\ud558\uba74 \uc5ec\ub7ec \ub178\ub4dc\uc5d0 \uba54\ud0c0 \ud559\uc2b5 \uc791\uc5c5\uc744 \ubd84\uc0b0\ud560 \uc218 \uc788\uc5b4 \ud2b9\ud788 \ub300\uaddc\ubaa8 \uc2e4\ud5d8\uc5d0\uc11c \ub354\uc6b1 \ube60\ub974\uace0 \ubcd1\ub82c\ud654\ub41c \uacc4\uc0b0\uc774 \uac00\ub2a5\ud574\uc9d1\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uba54\ud0c0\ub370\uc774\ud130\uc138\ud2b8\ub97c \uc704\ud55c \ub370\uc774\ud130 \uc218\uc9d1:<\/strong> \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \uba54\ud0c0 \ud559\uc2b5 \ubaa8\ub378\uc744 \ud6c8\ub828\ud558\uace0 \ud3c9\uac00\ud558\ub294 \ub370 \uc911\uc694\ud55c \uba54\ud0c0 \ub370\uc774\ud130 \uc138\ud2b8 \uad6c\ucd95\uc744 \uc704\ud55c \ub370\uc774\ud130 \uc218\uc9d1 \ubc0f \uc804\ucc98\ub9ac\ub97c \uc9c0\uc6d0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uce90\uc2f1 \ubc0f \uac00\uc18d:<\/strong> \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \uc790\uc8fc \uc561\uc138\uc2a4\ud558\ub294 \ubaa8\ub378 \ub9e4\uac1c\ubcc0\uc218\uc640 \ub370\uc774\ud130\ub97c \uce90\uc2dc\ud558\uc5ec \uacc4\uc0b0 \ubd80\ub2f4\uc744 \uc904\uc774\uace0 \uba54\ud0c0 \ud559\uc2b5 \ud504\ub85c\uc138\uc2a4\uc758 \uc18d\ub3c4\ub97c \ub192\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>\uad00\ub828\ub41c \ub9c1\ud06c\ub4e4<\/h2>\n<p>\uba54\ud0c0 \ud559\uc2b5\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \ub0b4\uc6a9\uc744 \ubcf4\ub824\uba74 \ub2e4\uc74c \ub9ac\uc18c\uc2a4\ub97c \ud0d0\uc0c9\ud558\uc138\uc694.<\/p>\n<ol>\n<li>\n<p><a href=\"https:\/\/arxiv.org\/abs\/1810.03548\" target=\"_new\" rel=\"noopener nofollow\">\uba54\ud0c0 \ud559\uc2b5: \uc124\ubb38\uc870\uc0ac<\/a> \u2013 \uba54\ud0c0\ub7ec\ub2dd \uae30\ubc95\uacfc \uc751\uc6a9\uc5d0 \ub300\ud55c \uc885\ud569\uc801\uc778 \uc870\uc0ac.<\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/arxiv.org\/abs\/1703.03400\" target=\"_new\" rel=\"noopener nofollow\">\ubaa8\ub378\uc5d0 \uad6c\uc560\ubc1b\uc9c0 \uc54a\ub294 \uba54\ud0c0 \ud559\uc2b5(MAML)<\/a> \u2013 MAML(Model-Agnostic Meta-Learning) \uc811\uadfc \ubc29\uc2dd\uc744 \uc18c\uac1c\ud558\ub294 \uc6d0\ubcf8 \ub17c\ubb38.<\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/arxiv.org\/abs\/1606.04474\" target=\"_new\" rel=\"noopener nofollow\">\uacbd\uc0ac\ud558\uac15\ubc95\uc744 \ud1b5\ud55c \ud559\uc2b5 \ud559\uc2b5 by Gradient Descent<\/a> \u2013 \uacbd\uc0ac\ud558\uac15\ubc95\uc744 \ud1b5\ud574 \ud559\uc2b5\ud558\ub294 \ud559\uc2b5\uc758 \uac1c\ub150\uc744 \uc81c\uc548\ud55c \uc120\uad6c\uc801\uc778 \ub17c\ubb38.<\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/arxiv.org\/abs\/1703.05175\" target=\"_new\" rel=\"noopener nofollow\">\ud4e8\uc0f7 \ud559\uc2b5\uc744 \uc704\ud55c \ud504\ub85c\ud1a0\ud0c0\uc785 \ub124\ud2b8\uc6cc\ud06c<\/a> \u2013 \ud4e8\uc0f7 \ud559\uc2b5\uc744 \uc704\ud55c \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \uba54\ud2b8\ub9ad \uae30\ubc18 \uc811\uadfc \ubc29\uc2dd\uc778 \ud504\ub85c\ud1a0\ud0c0\uc785 \ub124\ud2b8\uc6cc\ud06c\ub97c \uc18c\uac1c\ud558\ub294 \ub17c\ubb38\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/oneproxy.pro\/kr\/\" target=\"_new\" rel=\"noopener\">OneProxy \uc6f9\uc0ac\uc774\ud2b8<\/a> \u2013 \uc120\ub3c4\uc801\uc778 \ud504\ub85d\uc2dc \uc11c\ubc84 \uc81c\uacf5\uc5c5\uccb4\uc778 OneProxy\uc758 \uacf5\uc2dd \uc6f9\uc0ac\uc774\ud2b8\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<p>\uacb0\ub860\uc801\uc73c\ub85c, \uba54\ud0c0\ub7ec\ub2dd\uc740 \uae30\uacc4 \ud559\uc2b5 \ubd84\uc57c\uc758 \uc911\uc694\ud55c \ubc1c\uc804\uc744 \ub098\ud0c0\ub0b4\uba70 \uc801\uc751\ub825\uc774 \ub6f0\uc5b4\ub098\uace0 \ud6a8\uc728\uc801\uc778 AI \ubaa8\ub378\uc744 \ub9cc\ub4e4 \uc218 \uc788\ub294 \uc7a0\uc7ac\ub825\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uacfc\uac70 \uacbd\ud5d8\uc73c\ub85c\ubd80\ud130 \ud559\uc2b5\ud558\uace0 \uc791\uc5c5 \uc804\ubc18\uc5d0 \uac78\uccd0 \uc9c0\uc2dd\uc744 \uc804\ub2ec\ud558\ub294 \ub2a5\ub825\uc740 AI \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc5d0 \ub300\ud55c \uc0c8\ub85c\uc6b4 \uac00\ub2a5\uc131\uc744 \uc5f4\uc5b4 \ubcf4\ub2e4 \uc9c0\ub2a5\uc801\uc774\uace0 \ub2e4\uc7ac\ub2e4\ub2a5\ud55c \uc2dc\uc2a4\ud15c\uc744 \ucd94\uad6c\ud558\ub294 \ud575\uc2ec \uc5f0\uad6c \uc601\uc5ed\uc774 \ub429\ub2c8\ub2e4. \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \uba54\ud0c0 \ud559\uc2b5\uacfc \ud568\uaed8 \ub370\uc774\ud130 \uc218\uc9d1, \uac1c\uc778 \uc815\ubcf4 \ubcf4\ud638 \ubc0f \uacc4\uc0b0 \ud6a8\uc728\uc131\uc744 \ub354\uc6b1 \ud5a5\uc0c1\uc2dc\ucf1c AI\uc758 \ubc1c\uc804\uacfc \uc2e4\uc81c \uc601\ud5a5\uc744 \uac00\uc18d\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>","protected":false},"featured_media":468898,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478009","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Meta-learning: Understanding the Science of Learning to Learn<\/mark>","faq_items":[{"question":"What is Meta-learning?","answer":"<p>Meta-learning, also known as \"learning to learn,\" is a subfield of machine learning that focuses on developing algorithms and methodologies to improve the learning process itself. It enables machines to learn from past experiences and adapt their learning strategies to new tasks efficiently. Meta-learning allows AI models to become more adept at generalizing knowledge across various domains and tasks.<\/p>"},{"question":"How did Meta-learning originate?","answer":"<p>The concept of meta-learning dates back to the early 1980s, with researchers exploring the idea of using meta-level information to enhance machine learning systems. The term \"Meta-learning\" was formally introduced in a paper by Donald Michie in 1995. However, the roots of learning to learn can be found in earlier works like Herbert Simon's \"The Sciences of the Artificial\" in 1969.<\/p>"},{"question":"How does Meta-learning work?","answer":"<p>Meta-learning involves two main components: the \"meta-learner\" and the \"base-learner.\" The meta-learner observes how base-learners perform on different tasks, captures patterns and generalizations, and adapts its parameters to improve the base-learners' learning capabilities. Base-learners are standard machine learning algorithms trained on specific tasks or datasets.<\/p>"},{"question":"What are the key features of Meta-learning?","answer":"<p>Meta-learning offers several key features that set it apart from traditional machine learning approaches. It enables fast adaptation to new tasks with limited data, facilitates knowledge transfer between tasks, supports few-shot or zero-shot learning, improves sample efficiency, and allows models to adapt to new domains.<\/p>"},{"question":"What types of Meta-learning exist?","answer":"<p>Meta-learning can be categorized into several types based on the approaches and methodologies used. These include model-agnostic methods, metric-based methods, memory-augmented methods, and Bayesian methods.<\/p>"},{"question":"How can Meta-learning be used?","answer":"<p>Meta-learning finds application in various domains and scenarios. It can enable few-shot learning, optimize hyperparameter selection, accelerate reinforcement learning, facilitate transfer learning, address catastrophic forgetting, and improve data augmentation strategies.<\/p>"},{"question":"How can proxy servers be associated with Meta-learning?","answer":"<p>Proxy servers can play a significant role in Meta-learning research and applications. They can aid in data augmentation and privacy protection, facilitate cross-domain learning, support distributed meta-learning, assist in data collection for meta-datasets, and enhance caching and acceleration.<\/p>"},{"question":"What are the future perspectives of Meta-learning?","answer":"<p>The future of Meta-learning looks promising with advancements in autonomous systems, enhanced generalization in AI models, cross-domain AI solutions, faster training for AI models, and potential applications in healthcare.<\/p>"},{"question":"Where can I find more information about Meta-learning?","answer":"<p>For more in-depth information about Meta-learning, you can explore the following resources:<\/p><ul><li><a href=\"https:\/\/arxiv.org\/abs\/1810.03548\" target=\"_new\">Meta-Learning: A Survey<\/a><\/li><li><a href=\"https:\/\/arxiv.org\/abs\/1703.03400\" target=\"_new\">Model-Agnostic Meta-Learning (MAML)<\/a><\/li><li><a href=\"https:\/\/arxiv.org\/abs\/1606.04474\" target=\"_new\">Learning to Learn by Gradient Descent by Gradient Descent<\/a><\/li><li><a href=\"https:\/\/arxiv.org\/abs\/1703.05175\" target=\"_new\">Prototypical Networks for Few-shot Learning<\/a><\/li><li><a href=\"https:\/\/oneproxy.pro\" target=\"_new\">OneProxy Website<\/a><\/li><\/ul>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/478009","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/478009\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media\/468898"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media?parent=478009"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}