{"id":479752,"date":"2023-08-09T10:44:16","date_gmt":"2023-08-09T10:44:16","guid":{"rendered":""},"modified":"2023-09-05T11:19:30","modified_gmt":"2023-09-05T11:19:30","slug":"zero-shot-learning","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/zero-shot-learning\/","title":{"rendered":"H\u1ecdc t\u1eadp kh\u00f4ng b\u1eafn"},"content":{"rendered":"<p>Zero-shot learning l\u00e0 m\u1ed9t kh\u00e1i ni\u1ec7m mang t\u00ednh c\u00e1ch m\u1ea1ng trong l\u0129nh v\u1ef1c tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 h\u1ecdc m\u00e1y, cho ph\u00e9p c\u00e1c m\u00f4 h\u00ecnh nh\u1eadn bi\u1ebft v\u00e0 hi\u1ec3u c\u00e1c \u0111\u1ed1i t\u01b0\u1ee3ng ho\u1eb7c kh\u00e1i ni\u1ec7m m\u1edbi m\u00e0 h\u1ecd ch\u01b0a t\u1eebng g\u1eb7p tr\u01b0\u1edbc \u0111\u00e2y. Kh\u00f4ng gi\u1ed1ng nh\u01b0 h\u1ecdc m\u00e1y truy\u1ec1n th\u1ed1ng, trong \u0111\u00f3 c\u00e1c m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u00ean m\u1ed9t l\u01b0\u1ee3ng l\u1edbn d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n, h\u1ecdc kh\u00f4ng c\u1ea7n b\u1eafn cho ph\u00e9p m\u00e1y m\u00f3c kh\u00e1i qu\u00e1t h\u00f3a t\u1eeb ki\u1ebfn th\u1ee9c hi\u1ec7n c\u00f3 sang c\u00e1c t\u00ecnh hu\u1ed1ng m\u1edbi m\u00e0 kh\u00f4ng c\u1ea7n \u0111\u00e0o t\u1ea1o r\u00f5 r\u00e0ng.<\/p>\n<h2>L\u1ecbch s\u1eed ngu\u1ed3n g\u1ed1c c\u1ee7a Zero-shot Learning v\u00e0 l\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u1ec1 c\u1eadp \u0111\u1ebfn n\u00f3<\/h2>\n<p>Ngu\u1ed3n g\u1ed1c c\u1ee7a ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc t\u1eadp kh\u00f4ng c\u1ea7n n\u1ed7 l\u1ef1c c\u00f3 th\u1ec3 b\u1eaft ngu\u1ed3n t\u1eeb \u0111\u1ea7u nh\u1eefng n\u0103m 2000 khi c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u b\u1eaft \u0111\u1ea7u kh\u00e1m ph\u00e1 c\u00e1c ph\u01b0\u01a1ng ph\u00e1p chuy\u1ec3n t\u1ea3i ki\u1ebfn th\u1ee9c qua c\u00e1c nhi\u1ec7m v\u1ee5. V\u00e0o n\u0103m 2009, c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u Dolores Parra v\u00e0 Antonio Torralba \u0111\u00e3 gi\u1edbi thi\u1ec7u thu\u1eadt ng\u1eef \u201ch\u1ecdc t\u1eadp kh\u00f4ng c\u1ea7n th\u1ef1c hi\u1ec7n\u201d trong b\u00e0i b\u00e1o c\u1ee7a h\u1ecd, \u201cH\u1ecdc kh\u00f4ng c\u1ea7n th\u1ef1c hi\u1ec7n t\u1eeb c\u00e1c m\u00f4 t\u1ea3 ng\u1eef ngh\u0129a\u201d. C\u00f4ng vi\u1ec7c quan tr\u1ecdng n\u00e0y \u0111\u00e3 \u0111\u1eb7t n\u1ec1n m\u00f3ng cho nh\u1eefng ti\u1ebfn b\u1ed9 ti\u1ebfp theo trong l\u0129nh v\u1ef1c n\u00e0y.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 Zero-shot Learning. M\u1edf r\u1ed9ng ch\u1ee7 \u0111\u1ec1 H\u1ecdc t\u1eadp kh\u00f4ng b\u1eafn.<\/h2>\n<p>Zero-shot learning gi\u1ea3i quy\u1ebft m\u1ed9t h\u1ea1n ch\u1ebf \u0111\u00e1ng k\u1ec3 c\u1ee7a machine learning truy\u1ec1n th\u1ed1ng \u2013 nhu c\u1ea7u v\u1ec1 d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n r\u1ed9ng r\u00e3i. Trong h\u1ecdc t\u1eadp c\u00f3 gi\u00e1m s\u00e1t th\u00f4ng th\u01b0\u1eddng, c\u00e1c m\u00f4 h\u00ecnh y\u00eau c\u1ea7u c\u00e1c v\u00ed d\u1ee5 v\u1ec1 m\u1ecdi l\u1edbp m\u00e0 ch\u00fang c\u00f3 th\u1ec3 g\u1eb7p ph\u1ea3i. M\u1eb7t kh\u00e1c, ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc t\u1eadp kh\u00f4ng b\u1eafn t\u1eadn d\u1ee5ng th\u00f4ng tin ph\u1ee5 tr\u1ee3 nh\u01b0 thu\u1ed9c t\u00ednh ng\u1eef ngh\u0129a, m\u00f4 t\u1ea3 v\u0103n b\u1ea3n ho\u1eb7c c\u00e1c kh\u00e1i ni\u1ec7m li\u00ean quan \u0111\u1ec3 thu h\u1eb9p kho\u1ea3ng c\u00e1ch gi\u1eefa c\u00e1c danh m\u1ee5c \u0111\u00e3 bi\u1ebft v\u00e0 ch\u01b0a bi\u1ebft.<\/p>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a Zero-shot Learning. C\u00e1ch th\u1ee9c ho\u1ea1t \u0111\u1ed9ng c\u1ee7a Zero-shot Learning.<\/h2>\n<p>H\u1ecdc kh\u00f4ng c\u1ea7n b\u1eafn bao g\u1ed3m m\u1ed9t qu\u00e1 tr\u00ecnh g\u1ed3m nhi\u1ec1u b\u01b0\u1edbc:<\/p>\n<ol>\n<li><strong>Nh\u00fang ng\u1eef ngh\u0129a<\/strong>: C\u00e1c \u0111i\u1ec3m d\u1eef li\u1ec7u v\u00e0 c\u00e1c l\u1edbp \u0111\u01b0\u1ee3c nh\u00fang v\u00e0o m\u1ed9t kh\u00f4ng gian ng\u1eef ngh\u0129a chung n\u01a1i c\u00e1c m\u1ed1i quan h\u1ec7 c\u1ee7a ch\u00fang \u0111\u01b0\u1ee3c n\u1eafm b\u1eaft.<\/li>\n<li><strong>H\u1ecdc thu\u1ed9c t\u00ednh<\/strong>: C\u00e1c m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n \u0111\u1ec3 nh\u1eadn bi\u1ebft c\u00e1c thu\u1ed9c t\u00ednh ng\u1eef ngh\u0129a li\u00ean quan \u0111\u1ebfn m\u1ed7i l\u1edbp.<\/li>\n<li><strong>D\u1ef1 \u0111o\u00e1n kh\u00f4ng b\u1eafn<\/strong>: Khi g\u1eb7p m\u1ed9t l\u1edbp m\u1edbi, m\u00f4 h\u00ecnh s\u1eed d\u1ee5ng l\u00fd lu\u1eadn d\u1ef1a tr\u00ean thu\u1ed9c t\u00ednh \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n c\u00e1c t\u00ednh n\u0103ng v\u00e0 thu\u1ed9c t\u00ednh c\u1ee7a n\u00f3, ngay c\u1ea3 khi kh\u00f4ng c\u00f3 d\u1eef li\u1ec7u hu\u1ea5n luy\u1ec7n tr\u01b0\u1edbc \u0111\u00f3.<\/li>\n<\/ol>\n<h2>Ph\u00e2n t\u00edch c\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a Zero-shot Learning.<\/h2>\n<p>C\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc t\u1eadp kh\u00f4ng c\u1ea7n n\u1ed7 l\u1ef1c bao g\u1ed3m:<\/p>\n<ul>\n<li><strong>S\u1ef1 kh\u00e1i qu\u00e1t<\/strong>: C\u00e1c m\u00f4 h\u00ecnh c\u00f3 th\u1ec3 nh\u1eadn ra c\u00e1c l\u1edbp m\u1edbi v\u1edbi d\u1eef li\u1ec7u t\u1ed1i thi\u1ec3u, cho ph\u00e9p kh\u1ea3 n\u0103ng th\u00edch \u1ee9ng nhanh ch\u00f3ng.<\/li>\n<li><strong>Hi\u1ec3u ng\u1eef ngh\u0129a<\/strong>: Vi\u1ec7c s\u1eed d\u1ee5ng c\u00e1c thu\u1ed9c t\u00ednh v\u00e0 m\u00f4 t\u1ea3 ng\u1eef ngh\u0129a t\u1ea1o \u0111i\u1ec1u ki\u1ec7n cho s\u1ef1 hi\u1ec3u bi\u1ebft \u0111a s\u1eafc th\u00e1i.<\/li>\n<li><strong>Gi\u1ea3m s\u1ef1 ph\u1ee5 thu\u1ed9c d\u1eef li\u1ec7u<\/strong>: H\u1ecdc t\u1eadp kh\u00f4ng c\u1ea7n b\u1eafn l\u00e0m gi\u1ea3m nhu c\u1ea7u v\u1ec1 d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n r\u1ed9ng r\u00e3i, gi\u1ea3m chi ph\u00ed thu th\u1eadp d\u1eef li\u1ec7u.<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i h\u00ecnh h\u1ecdc t\u1eadp kh\u00f4ng b\u1eafn<\/h2>\n<p>C\u00f3 m\u1ed9t s\u1ed1 lo\u1ea1i ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc t\u1eadp kh\u00f4ng c\u1ea7n n\u1ed7 l\u1ef1c:<\/p>\n<ol>\n<li><strong>D\u1ef1a tr\u00ean thu\u1ed9c t\u00ednh<\/strong>: C\u00e1c m\u00f4 h\u00ecnh d\u1ef1 \u0111o\u00e1n c\u00e1c thu\u1ed9c t\u00ednh li\u00ean quan \u0111\u1ebfn m\u1ed9t l\u1edbp v\u00e0 s\u1eed d\u1ee5ng ch\u00fang \u0111\u1ec3 suy ra c\u00e1c t\u00ednh n\u0103ng.<\/li>\n<li><strong>D\u1ef1a tr\u00ean ng\u1eef ngh\u0129a<\/strong>: T\u1eadn d\u1ee5ng c\u00e1c m\u1ed1i quan h\u1ec7 ng\u1eef ngh\u0129a gi\u1eefa c\u00e1c l\u1edbp v\u00e0 c\u00e1c th\u1ec3 hi\u1ec7n \u0111\u1ec3 \u0111\u01b0a ra d\u1ef1 \u0111o\u00e1n.<\/li>\n<li><strong>Ph\u01b0\u01a1ng ph\u00e1p ti\u1ebfp c\u1eadn lai<\/strong>: K\u1ebft h\u1ee3p nhi\u1ec1u ngu\u1ed3n th\u00f4ng tin ph\u1ee5 tr\u1ee3 \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n ch\u00ednh x\u00e1c h\u01a1n.<\/li>\n<\/ol>\n<p>\u0110\u00e2y l\u00e0 b\u1ea3ng t\u00f3m t\u1eaft c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m c\u1ee7a ch\u00fang:<\/p>\n<table>\n<thead>\n<tr>\n<th>Ti\u1ebfp c\u1eadn<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>D\u1ef1a tr\u00ean thu\u1ed9c t\u00ednh<\/td>\n<td>T\u1eadp trung v\u00e0o vi\u1ec7c d\u1ef1 \u0111o\u00e1n thu\u1ed9c t\u00ednh c\u1ee7a c\u00e1c l\u1edbp.<\/td>\n<\/tr>\n<tr>\n<td>D\u1ef1a tr\u00ean ng\u1eef ngh\u0129a<\/td>\n<td>S\u1eed d\u1ee5ng c\u00e1c m\u1ed1i quan h\u1ec7 ng\u1eef ngh\u0129a \u0111\u1ec3 suy lu\u1eadn.<\/td>\n<\/tr>\n<tr>\n<td>Ph\u01b0\u01a1ng ph\u00e1p ti\u1ebfp c\u1eadn lai<\/td>\n<td>K\u1ebft h\u1ee3p nhi\u1ec1u ngu\u1ed3n \u0111\u1ec3 n\u00e2ng cao \u0111\u1ed9 ch\u00ednh x\u00e1c.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng Zero-shot Learning, c\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p li\u00ean quan \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng.<\/h2>\n<p>H\u1ecdc t\u1eadp kh\u00f4ng b\u1eafn t\u00ecm th\u1ea5y c\u00e1c \u1ee9ng d\u1ee5ng trong c\u00e1c l\u0129nh v\u1ef1c kh\u00e1c nhau:<\/p>\n<ul>\n<li><strong>Nh\u1eadn d\u1ea1ng h\u00ecnh \u1ea3nh<\/strong>: X\u00e1c \u0111\u1ecbnh c\u00e1c \u0111\u1ed1i t\u01b0\u1ee3ng m\u1edbi trong h\u00ecnh \u1ea3nh.<\/li>\n<li><strong>X\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean<\/strong>: Hi\u1ec3u v\u00e0 t\u1ea1o v\u0103n b\u1ea3n v\u1ec1 c\u00e1c ch\u1ee7 \u0111\u1ec1 ch\u01b0a \u0111\u01b0\u1ee3c xem.<\/li>\n<li><strong>H\u00ecnh \u1ea3nh y t\u1ebf<\/strong>: Ch\u1ea9n \u0111o\u00e1n t\u00ecnh tr\u1ea1ng b\u1ec7nh m\u1edbi.<\/li>\n<\/ul>\n<p>Nh\u1eefng th\u00e1ch th\u1ee9c bao g\u1ed3m s\u1ef1 th\u01b0a th\u1edbt d\u1eef li\u1ec7u v\u00e0 h\u1ea1n ch\u1ebf v\u1ec1 \u0111\u1ed9 ch\u00ednh x\u00e1c. C\u00e1c gi\u1ea3i ph\u00e1p li\u00ean quan \u0111\u1ebfn ch\u00fa th\u00edch thu\u1ed9c t\u00ednh t\u1ed1t h\u01a1n v\u00e0 c\u1ea3i thi\u1ec7n kh\u1ea3 n\u0103ng nh\u00fang ng\u1eef ngh\u0129a.<\/p>\n<h2>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 so s\u00e1nh kh\u00e1c v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0111\u1eb7c tr\u01b0ng<\/th>\n<th>H\u1ecdc t\u1eadp kh\u00f4ng b\u1eafn<\/th>\n<th>Chuy\u1ec3n ti\u1ebfp h\u1ecdc t\u1eadp<\/th>\n<th>H\u1ecdc \u00edt l\u1ea7n<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Kh\u1ea3 n\u0103ng th\u00edch \u1ee9ng v\u1edbi nhi\u1ec7m v\u1ee5 m\u1edbi<\/td>\n<td>Cao<\/td>\n<td>V\u1eeba ph\u1ea3i<\/td>\n<td>V\u1eeba ph\u1ea3i<\/td>\n<\/tr>\n<tr>\n<td>Y\u00eau c\u1ea7u d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n<\/td>\n<td>Th\u1ea5p<\/td>\n<td>Trung b\u00ecnh \u0111\u1ebfn cao<\/td>\n<td>Th\u1ea5p<\/td>\n<\/tr>\n<tr>\n<td>Kh\u1ea3 n\u0103ng kh\u00e1i qu\u00e1t h\u00f3a<\/td>\n<td>Cao<\/td>\n<td>Cao<\/td>\n<td>V\u1eeba ph\u1ea3i<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1c quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 c\u1ee7a t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn Zero-shot Learning.<\/h2>\n<p>T\u01b0\u01a1ng lai c\u1ee7a ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc t\u1eadp kh\u00f4ng c\u1ea7n n\u1ed7 l\u1ef1c c\u00f3 nhi\u1ec1u kh\u1ea3 n\u0103ng th\u00fa v\u1ecb:<\/p>\n<ul>\n<li><strong>Si\u00eau h\u1ecdc t\u1eadp<\/strong>: C\u00e1c m\u00f4 h\u00ecnh h\u1ecdc c\u00e1ch h\u1ecdc, t\u0103ng t\u1ed1c th\u00edch \u1ee9ng.<\/li>\n<li><strong>H\u1ecdc t\u0103ng c\u01b0\u1eddng kh\u00f4ng b\u1eafn<\/strong>: K\u1ebft h\u1ee3p vi\u1ec7c h\u1ecdc t\u0103ng c\u01b0\u1eddng v\u1edbi c\u00e1c m\u00f4 h\u00ecnh kh\u00f4ng b\u1eafn.<\/li>\n<li><strong>S\u1ef1 k\u1ebft h\u1ee3p \u0111a ph\u01b0\u01a1ng th\u1ee9c kh\u00f4ng b\u1eafn<\/strong>: M\u1edf r\u1ed9ng vi\u1ec7c h\u1ecdc kh\u00f4ng c\u1ea7n b\u1eafn sang nhi\u1ec1u ph\u01b0\u01a1ng th\u1ee9c d\u1eef li\u1ec7u.<\/li>\n<\/ul>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi Zero-shot Learning.<\/h2>\n<p>M\u00e1y ch\u1ee7 proxy \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c k\u00edch ho\u1ea1t c\u00e1c \u1ee9ng d\u1ee5ng h\u1ecdc t\u1eadp kh\u00f4ng c\u1ea7n b\u1eafn:<\/p>\n<ul>\n<li><strong>Thu th\u1eadp d\u1eef li\u1ec7u<\/strong>: M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 thu th\u1eadp d\u1eef li\u1ec7u \u0111a d\u1ea1ng t\u1eeb c\u00e1c khu v\u1ef1c \u0111\u1ecba l\u00fd kh\u00e1c nhau, l\u00e0m phong ph\u00fa th\u00eam qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o.<\/li>\n<li><strong>B\u1ea3o v\u1ec7 quy\u1ec1n ri\u00eang t\u01b0<\/strong>: M\u00e1y ch\u1ee7 proxy t\u0103ng c\u01b0\u1eddng quy\u1ec1n ri\u00eang t\u01b0 d\u1eef li\u1ec7u b\u1eb1ng c\u00e1ch che gi\u1ea5u ngu\u1ed3n g\u1ed1c c\u1ee7a y\u00eau c\u1ea7u d\u1eef li\u1ec7u, \u0111\u1ea3m b\u1ea3o tu\u00e2n th\u1ee7 c\u00e1c quy \u0111\u1ecbnh b\u1ea3o v\u1ec7 d\u1eef li\u1ec7u.<\/li>\n<\/ul>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<p>\u0110\u1ec3 bi\u1ebft th\u00eam th\u00f4ng tin v\u1ec1 Zero-shot Learning, h\u00e3y c\u00e2n nh\u1eafc kh\u00e1m ph\u00e1 c\u00e1c t\u00e0i nguy\u00ean sau:<\/p>\n<ul>\n<li><a href=\"\/vn\/link-to-paper\/\" target=\"_new\" rel=\"noopener\">B\u00e0i vi\u1ebft g\u1ed1c c\u1ee7a Dolores Parra v\u00e0 Antonio Torralba<\/a><\/li>\n<li><a href=\"\/vn\/link-to-survey\/\" target=\"_new\" rel=\"noopener\">H\u1ecdc t\u1eadp kh\u00f4ng b\u1eafn: Kh\u1ea3o s\u00e1t to\u00e0n di\u1ec7n<\/a><\/li>\n<li><a href=\"\/vn\/link-to-advances\/\" target=\"_new\" rel=\"noopener\">Nh\u1eefng ti\u1ebfn b\u1ed9 trong k\u1ef9 thu\u1eadt h\u1ecdc t\u1eadp kh\u00f4ng b\u1eafn<\/a><\/li>\n<\/ul>\n<p>Khi l\u0129nh v\u1ef1c h\u1ecdc m\u00e1y ti\u1ebfp t\u1ee5c ph\u00e1t tri\u1ec3n, ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc kh\u00f4ng c\u1ea7n n\u1ed7 l\u1ef1c n\u1ed5i b\u1eadt nh\u01b0 m\u1ed9t n\u1ec1n t\u1ea3ng, cho ph\u00e9p m\u00e1y h\u1ecdc v\u00e0 th\u00edch \u1ee9ng theo nh\u1eefng c\u00e1ch m\u00e0 tr\u01b0\u1edbc \u0111\u00e2y \u0111\u01b0\u1ee3c cho l\u00e0 kh\u00f4ng th\u1ec3. V\u1edbi s\u1ef1 h\u1ed7 tr\u1ee3 c\u1ee7a c\u00e1c c\u00f4ng ngh\u1ec7 nh\u01b0 m\u00e1y ch\u1ee7 proxy, h\u00e0nh tr\u00ecnh h\u01b0\u1edbng t\u1edbi c\u00e1c h\u1ec7 th\u1ed1ng th\u1ef1c s\u1ef1 th\u00f4ng minh tr\u1edf n\u00ean kh\u1ea3 thi h\u01a1n bao gi\u1edd h\u1ebft.<\/p>","protected":false},"featured_media":470992,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-479752","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Zero-shot Learning: Bridging the Gap between Knowledge and Adaptability<\/mark>","faq_items":[{"question":"What is Zero-shot Learning?","answer":"Zero-shot learning is a revolutionary approach in artificial intelligence and machine learning. Unlike traditional methods that require extensive labeled data for each new class, zero-shot learning allows models to generalize and recognize new concepts they haven't been directly trained on. This is achieved by leveraging auxiliary information like semantic attributes and descriptions."},{"question":"How did Zero-shot Learning originate?","answer":"The concept of Zero-shot Learning dates back to the early 2000s. In 2009, researchers Dolores Parra and Antonio Torralba coined the term in their paper \"Zero-Shot Learning from Semantic Descriptions.\" This marked the beginning of exploring ways to enable models to adapt and learn from novel classes without explicit training."},{"question":"How does Zero-shot Learning work?","answer":"Zero-shot learning involves several steps:\r\n<ol>\r\n \t<li><strong>Semantic Embeddings<\/strong>: Data and classes are embedded in a semantic space.<\/li>\r\n \t<li><strong>Attribute Learning<\/strong>: Models learn to predict attributes of classes.<\/li>\r\n \t<li><strong>Zero-shot Prediction<\/strong>: When encountering a new class, the model uses attributes to predict features.<\/li>\r\n<\/ol>"},{"question":"What are the key features of Zero-shot Learning?","answer":"Key features include:\r\n<ul>\r\n \t<li><strong>Generalization<\/strong>: Models can recognize new classes quickly.<\/li>\r\n \t<li><strong>Semantic Understanding<\/strong>: Using semantic attributes enhances nuanced comprehension.<\/li>\r\n \t<li><strong>Reduced Data Dependency<\/strong>: Less labeled data is needed, reducing data acquisition costs.<\/li>\r\n<\/ul>"},{"question":"What types of Zero-shot Learning exist?","answer":"There are several types:\r\n<ol>\r\n \t<li><strong>Attribute-based<\/strong>: Predicts attributes for class inference.<\/li>\r\n \t<li><strong>Semantic-based<\/strong>: Relies on semantic relationships.<\/li>\r\n \t<li><strong>Hybrid Approaches<\/strong>: Combines multiple sources of information.<\/li>\r\n<\/ol>"},{"question":"Where can Zero-shot Learning be applied?","answer":"Zero-shot learning finds applications in:\r\n<ul>\r\n \t<li><strong>Image Recognition<\/strong>: Identifying new objects in images.<\/li>\r\n \t<li><strong>Natural Language Processing<\/strong>: Understanding and generating text on unseen topics.<\/li>\r\n \t<li><strong>Medical Imaging<\/strong>: Diagnosing conditions for new diseases.<\/li>\r\n<\/ul>"},{"question":"What challenges does Zero-shot Learning face?","answer":"Challenges include data sparsity and accuracy limitations. Solutions involve better attribute annotation and improved semantic embeddings."},{"question":"How does Zero-shot Learning compare to Transfer Learning and Few-shot Learning?","answer":"<table>\r\n<thead>\r\n<tr>\r\n<th>Characteristic<\/th>\r\n<th>Zero-shot Learning<\/th>\r\n<th>Transfer Learning<\/th>\r\n<th>Few-shot Learning<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Adaptability to New Tasks<\/td>\r\n<td>High<\/td>\r\n<td>Moderate<\/td>\r\n<td>Moderate<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Labeled Data Requirement<\/td>\r\n<td>Low<\/td>\r\n<td>Moderate to High<\/td>\r\n<td>Low<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Generalization Ability<\/td>\r\n<td>High<\/td>\r\n<td>High<\/td>\r\n<td>Moderate<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>"},{"question":"What does the future hold for Zero-shot Learning?","answer":"The future brings exciting prospects:\r\n<ul>\r\n \t<li><strong>Meta-learning<\/strong>: Models learn how to learn, speeding up adaptation.<\/li>\r\n \t<li><strong>Zero-shot Reinforcement Learning<\/strong>: Merging reinforcement learning with zero-shot paradigms.<\/li>\r\n \t<li><strong>Zero-shot Multimodal Fusion<\/strong>: Extending zero-shot learning across different data types.<\/li>\r\n<\/ul>"},{"question":"How are proxy servers related to Zero-shot Learning?","answer":"Proxy servers play a vital role:\r\n<ul>\r\n \t<li><strong>Data Collection<\/strong>: They gather diverse data from various regions, enriching training.<\/li>\r\n \t<li><strong>Privacy Protection<\/strong>: Proxy servers ensure data privacy by masking data request origins.<\/li>\r\n<\/ul>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/479752","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/479752\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/470992"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=479752"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}