{"id":11654,"date":"2024-12-26T13:33:55","date_gmt":"2024-12-26T04:33:55","guid":{"rendered":"https:\/\/nairl.kr\/research\/"},"modified":"2026-04-04T14:29:00","modified_gmt":"2026-04-04T05:29:00","slug":"research","status":"publish","type":"page","link":"https:\/\/nairl.kr\/ko\/research\/","title":{"rendered":"\uc5f0\uad6c"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"11654\" class=\"elementor elementor-11654 elementor-9862\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a51ed21 e-flex e-con-boxed wcf-starter-animations-none e-con e-parent\" data-id=\"a51ed21\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-59ca190 wcf-starter-animations-none elementor-widget elementor-widget-wcf--title\" data-id=\"59ca190\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;wcf_starter_animations&quot;:&quot;none&quot;,&quot;wcf_anim_duration&quot;:1000,&quot;wcf_anim_delay&quot;:0,&quot;wcf_anim_ease&quot;:&quot;ease&quot;}\" data-widget_type=\"wcf--title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"wcf--title\">Research Archive<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0f97dc2 e-con-full e-flex wcf-starter-animations-none e-con e-child\" data-id=\"0f97dc2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4bd999b elementor-widget__width-inherit elementor-widget-widescreen__width-inherit wcf-starter-animations-none elementor-widget elementor-widget-wcf--title\" data-id=\"4bd999b\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;wcf_starter_animations&quot;:&quot;none&quot;,&quot;wcf_anim_duration&quot;:1000,&quot;wcf_anim_delay&quot;:0,&quot;wcf_anim_ease&quot;:&quot;ease&quot;}\" data-widget_type=\"wcf--title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"wcf--title\">\uc911\uc810 \uc5f0\uad6c \ubd84\uc57c<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4d591b15 e-flex e-con-boxed wcf-starter-animations-none e-con e-child\" data-id=\"4d591b15\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-56ea7611 e-con-full e-flex wcf-starter-animations-none e-con e-child\" data-id=\"56ea7611\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-3497ccbb e-con-full e-flex wcf-starter-animations-none e-con e-child\" data-id=\"3497ccbb\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5f8ad8ed title elementor-widget elementor-widget-wcf--arolax-button\" data-id=\"5f8ad8ed\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"wcf--arolax-button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t        <div class=\"wc-btn-wrapper style-3\">\r\n\t\t\t                <a href=\"https:\/\/nairl.kr\/ko\/neural-scaling\/\" class=\"wc-btn-primary btn-text-flip\">\r\n                    <span data-text=\"Breakthrough in Neural Scaling Law\">\r\n                        Breakthrough in Neural Scaling Law                    <\/span>\r\n\t\t\t\t\t                <\/a>\r\n\t\t\t        <\/div>\r\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5f5177b0 e-con-full e-flex wcf-starter-animations-none e-con e-child\" data-id=\"5f5177b0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-66bbbfa4 title elementor-widget elementor-widget-wcf--arolax-button\" data-id=\"66bbbfa4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"wcf--arolax-button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t        <div class=\"wc-btn-wrapper style-3\">\r\n\t\t\t                <a href=\"https:\/\/nairl.kr\/ko\/robotic-foundation-model\/\" class=\"wc-btn-primary btn-text-flip\">\r\n                    <span data-text=\"Foundation Model for Robotics\">\r\n                        Foundation Model for Robotics                    <\/span>\r\n\t\t\t\t\t                <\/a>\r\n\t\t\t        <\/div>\r\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9592a4c e-con-full e-flex wcf-starter-animations-none e-con e-child\" data-id=\"9592a4c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6fdb1bd2 title elementor-widget elementor-widget-wcf--arolax-button\" data-id=\"6fdb1bd2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"wcf--arolax-button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t        <div class=\"wc-btn-wrapper style-3\">\r\n\t\t\t                <a href=\"https:\/\/nairl.kr\/research-highlight-placeholder-3\" class=\"wc-btn-primary btn-text-flip\">\r\n                    <span data-text=\"High-dimensional Generative Foundation Models\">\r\n                        High-dimensional Generative Foundation Models                    <\/span>\r\n\t\t\t\t\t                <\/a>\r\n\t\t\t        <\/div>\r\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2bd0696f e-flex e-con-boxed wcf-starter-animations-none e-con e-parent\" data-id=\"2bd0696f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-701bff8 elementor-widget__width-inherit wcf-starter-animations-none elementor-widget elementor-widget-wcf--title\" data-id=\"701bff8\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;wcf_starter_animations&quot;:&quot;none&quot;,&quot;wcf_anim_duration&quot;:1000,&quot;wcf_anim_delay&quot;:0,&quot;wcf_anim_ease&quot;:&quot;ease&quot;}\" data-widget_type=\"wcf--title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"wcf--title\">\uc5f0\uad6c \ub17c\ubb38<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5946ef2 e-con-full e-flex wcf-starter-animations-none e-con e-child\" data-id=\"5946ef2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fea487f elementor-widget elementor-widget-html\" data-id=\"fea487f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"default-search__again-form\">\n  <form method=\"get\" action=\"https:\/\/nairl.kr\/ko\/category\/%eb%85%bc%eb%ac%b8\/\" class=\"joya-search-form\">\n    <input name=\"s\" type=\"text\" placeholder=\"Search here\" value=\"\">\n    <input type=\"hidden\" name=\"category_name\" value=\"\ub17c\ubb38\">\n    <button type=\"submit\" aria-label=\"Search Button\">\n      <i class=\"icon-wcf-search\"><\/i>\n    <\/button>\n  <\/form>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b173e56 elementor-widget-widescreen__width-initial wcf--image-effect-zoom-in elementor-widget elementor-widget-wcf--posts\" data-id=\"b173e56\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"wcf--posts.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t        <div class=\"wcf__posts style-4\">        <div class=\"wcf-posts\">\r\n\t\t        <article class=\"wcf-post post-21232 post type-post status-publish format-standard hentry category-121 tag-breakthrough-in-neural-scaling-law\">\r\n\t\t\t        <div class=\"thumb\">\r\n            <a href=\"https:\/\/nairl.kr\/ko\/active-prompt-learning-with-vision-language-model-priors-2\/\" aria-label=\"Active Prompt Learning with Vision-Language Model Priors\">\r\n\t\t\t\t            <\/a>\r\n        <\/div>\r\n\t\t\r\n            <div class=\"content\">\r\n\t\t\t\t        <ul class=\"wcf-taxonomy\">\r\n\t\t\t<li><a href=\"https:\/\/nairl.kr\/ko\/tag\/breakthrough-in-neural-scaling-law\/\">#Breakthrough in Neural Scaling Law<\/a><\/li>        <\/ul>\r\n\t\t        <ul class=\"wcf-meta\">\r\n\t\t\t        <\/ul>\r\n\t\t        <h3 class=\"title\">\r\n        <a href=\"https:\/\/nairl.kr\/ko\/active-prompt-learning-with-vision-language-model-priors-2\/\">\r\n\t\t\t<span class=\"highlight\"><\/span> Active Prompt Learning with Vision-Language Model Priors        <\/a>\r\n        <\/h3>\r\n\t\t        <div class=\"desc\">\r\n\t\t\t<p>\uc5f0\ub3c4: 2025 \/ \uc800\uc790: \uae40\ud638\uc601, \uc9c4\uc11d\ud76c, \uc131\ucc3d\ud658, \uae40\uc7ac\ucc3d, \uc625\uc815\uc2ac \u00a0\/ \ud559\uc220\uc9c0: TMLR\u00a0<\/p>\n        <\/div>\r\n\t\t            <\/div>\r\n        <\/article>\r\n\t\t        <article class=\"wcf-post post-21217 post type-post status-publish format-standard hentry category-121 tag-foundation-model-for-robotics\">\r\n\t\t\t        <div class=\"thumb\">\r\n            <a href=\"https:\/\/nairl.kr\/ko\/membench-memorized-image-trigger-prompt-dataset-for-diffusion-models-2\/\" aria-label=\"MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models\">\r\n\t\t\t\t            <\/a>\r\n        <\/div>\r\n\t\t\r\n            <div class=\"content\">\r\n\t\t\t\t        <ul class=\"wcf-taxonomy\">\r\n\t\t\t<li><a href=\"https:\/\/nairl.kr\/ko\/tag\/foundation-model-for-robotics\/\">#Foundation Model for Robotics<\/a><\/li>        <\/ul>\r\n\t\t        <ul class=\"wcf-meta\">\r\n\t\t\t        <\/ul>\r\n\t\t        <h3 class=\"title\">\r\n        <a href=\"https:\/\/nairl.kr\/ko\/membench-memorized-image-trigger-prompt-dataset-for-diffusion-models-2\/\">\r\n\t\t\t<span class=\"highlight\"><\/span> MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models        <\/a>\r\n        <\/h3>\r\n\t\t        <div class=\"desc\">\r\n\t\t\t<p>\uc5f0\ub3c4: 2025 \/ \uc800\uc790: \ud64d\ucd98\uc0b0, \uc624\ud0dc\ud604, \uc131\ubbfc\ud601 \u00a0\/ \ud559\uc220\uc9c0: TMLR<\/p>\n        <\/div>\r\n\t\t            <\/div>\r\n        <\/article>\r\n\t\t        <article class=\"wcf-post post-21197 post type-post status-publish format-standard hentry category-121 tag-foundation-model-for-robotics\">\r\n\t\t\t        <div class=\"thumb\">\r\n            <a href=\"https:\/\/nairl.kr\/ko\/vlms-eye-examination-instruct-and-inspect-visual-competency-of-vision-language-models\/\" aria-label=\"VLM\u2019s Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models\">\r\n\t\t\t\t            <\/a>\r\n        <\/div>\r\n\t\t\r\n            <div class=\"content\">\r\n\t\t\t\t        <ul class=\"wcf-taxonomy\">\r\n\t\t\t<li><a href=\"https:\/\/nairl.kr\/ko\/tag\/foundation-model-for-robotics\/\">#Foundation Model for Robotics<\/a><\/li>        <\/ul>\r\n\t\t        <ul class=\"wcf-meta\">\r\n\t\t\t        <\/ul>\r\n\t\t        <h3 class=\"title\">\r\n        <a href=\"https:\/\/nairl.kr\/ko\/vlms-eye-examination-instruct-and-inspect-visual-competency-of-vision-language-models\/\">\r\n\t\t\t<span class=\"highlight\"><\/span> VLM\u2019s Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models        <\/a>\r\n        <\/h3>\r\n\t\t        <div class=\"desc\">\r\n\t\t\t<p>\uc5f0\ub3c4: 2025 \/ \uc800\uc790: \ub0a8\ud604\uc6b0, \ubb38\uc608\ube48, \ucd5c\uc6d0\uc11d, \uc774\ud604, \uc624\ud0dc\ud604 \u00a0\/ \ud559\uc220\uc9c0: TMLR<\/p>\n        <\/div>\r\n\t\t            <\/div>\r\n        <\/article>\r\n\t\t        <article class=\"wcf-post post-21169 post type-post status-publish format-standard hentry category-121 tag-foundation-model-for-robotics\">\r\n\t\t\t        <div class=\"thumb\">\r\n            <a href=\"https:\/\/nairl.kr\/ko\/enhancing-cost-efficiency-in-active-learning-with-candidate-set-query\/\" aria-label=\"Enhancing Cost Efficiency in Active Learning with Candidate Set Query\">\r\n\t\t\t\t            <\/a>\r\n        <\/div>\r\n\t\t\r\n            <div class=\"content\">\r\n\t\t\t\t        <ul class=\"wcf-taxonomy\">\r\n\t\t\t<li><a href=\"https:\/\/nairl.kr\/ko\/tag\/foundation-model-for-robotics\/\">#Foundation Model for Robotics<\/a><\/li>        <\/ul>\r\n\t\t        <ul class=\"wcf-meta\">\r\n\t\t\t        <\/ul>\r\n\t\t        <h3 class=\"title\">\r\n        <a href=\"https:\/\/nairl.kr\/ko\/enhancing-cost-efficiency-in-active-learning-with-candidate-set-query\/\">\r\n\t\t\t<span class=\"highlight\"><\/span> Enhancing Cost Efficiency in Active Learning with Candidate Set Query        <\/a>\r\n        <\/h3>\r\n\t\t        <div class=\"desc\">\r\n\t\t\t<p>\uc5f0\ub3c4: 2025 \/ \uc800\uc790: \uad8c\uc608\ud638, \ud669\uc138\ud604, \uae40\ud638\uc601, \uc625\uc815\uc2ac, \uacfd\uc218\ud558 \u00a0\/ \ud559\uc220\uc9c0: TMLR<\/p>\n        <\/div>\r\n\t\t            <\/div>\r\n        <\/article>\r\n\t\t        <article class=\"wcf-post post-21104 post type-post status-publish format-standard hentry category-121 tag-high-dimensional-generative-foundation-models\">\r\n\t\t\t        <div class=\"thumb\">\r\n            <a href=\"https:\/\/nairl.kr\/ko\/am-adapter-appearance-matching-adapter-for-exemplar-based-semantic-image-synthesis\/\" aria-label=\"AM-Adapter: Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis\">\r\n\t\t\t\t            <\/a>\r\n        <\/div>\r\n\t\t\r\n            <div class=\"content\">\r\n\t\t\t\t        <ul class=\"wcf-taxonomy\">\r\n\t\t\t<li><a href=\"https:\/\/nairl.kr\/ko\/tag\/high-dimensional-generative-foundation-models\/\">#High-dimensional Generative Foundation Models<\/a><\/li>        <\/ul>\r\n\t\t        <ul class=\"wcf-meta\">\r\n\t\t\t        <\/ul>\r\n\t\t        <h3 class=\"title\">\r\n        <a href=\"https:\/\/nairl.kr\/ko\/am-adapter-appearance-matching-adapter-for-exemplar-based-semantic-image-synthesis\/\">\r\n\t\t\t<span class=\"highlight\"><\/span> AM-Adapter: Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis        <\/a>\r\n        <\/h3>\r\n\t\t        <div class=\"desc\">\r\n\t\t\t<p>\uc5f0\ub3c4: 2025 \/ \uc800\uc790: \uc9c4\uc2dc\uc724, \ub0a8\uc9c0\uc218, \uae40\uc9c0\uc601, \uc815\ub2e4\ud604, \uae40\uc601\uc11d, \ubc15\uc900\ud615, \ucd94\ud5cc\uc815, \uae40\uc2b9\ub8e1 \/ \ud559\uc220\ub300\ud68c\uba85: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)\u00a0<\/p>\n        <\/div>\r\n\t\t            <\/div>\r\n        <\/article>\r\n\t\t        <article class=\"wcf-post post-20736 post type-post status-publish format-standard hentry category-121 tag-high-dimensional-generative-foundation-models\">\r\n\t\t\t        <div class=\"thumb\">\r\n            <a href=\"https:\/\/nairl.kr\/ko\/sparsely-labeled-fmri-data-denoising-with-meta-learning-based-semi-supervised-domain-adaptation\/\" aria-label=\"Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation\">\r\n\t\t\t\t            <\/a>\r\n        <\/div>\r\n\t\t\r\n            <div class=\"content\">\r\n\t\t\t\t        <ul class=\"wcf-taxonomy\">\r\n\t\t\t<li><a href=\"https:\/\/nairl.kr\/ko\/tag\/high-dimensional-generative-foundation-models\/\">#High-dimensional Generative Foundation Models<\/a><\/li>        <\/ul>\r\n\t\t        <ul class=\"wcf-meta\">\r\n\t\t\t        <\/ul>\r\n\t\t        <h3 class=\"title\">\r\n        <a href=\"https:\/\/nairl.kr\/ko\/sparsely-labeled-fmri-data-denoising-with-meta-learning-based-semi-supervised-domain-adaptation\/\">\r\n\t\t\t<span class=\"highlight\"><\/span> Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation        <\/a>\r\n        <\/h3>\r\n\t\t        <div class=\"desc\">\r\n\t\t\t<p>\uc5f0\ub3c4: 2025 \/ \uc800\uc790: \ud5c8\uadfc\uc218, \ud55c\uc9c0\uc6c5, \ubc15\uc18c\uc5f0, \uc784\ubbfc\uc8fc, \uac15\ubcf4\uacbd, \ubc15\uc0c1\uc900, Weili Lin, Han Zhang, Dinggang Shen, \uac10\ud0dc\uc758 \/ \ud559\uc220\ub300\ud68c\uba85: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)<\/p>\n        <\/div>\r\n\t\t            <\/div>\r\n        <\/article>\r\n\t\t<\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-302731c elementor-align-end elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"302731c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/nairl.kr\/ko\/publications\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"arolax-theme arolax-wcf-icon icon-wcf-arrow-up\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\"> \ub354 \ubcf4\uae30<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Research Archive\uc911\uc810 \uc5f0\uad6c \ubd84\uc57c Breakthrough in Neural Scaling Law Foundation Model for Robotics High-dimensional Generative Foundation Models \uc5f0\uad6c \ub17c\ubb38 #Breakthrough in Neural Scaling Law MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models \u00a0\uc5f0\ub3c4:\u00a0 2025 \/ \uc800\uc790: \ud64d\ucd98\uc0b0\u00a0,\u00a0\uc624\ud0dc\ud604\u00a0,\u00a0\uc131\ubbfc\ud601 \u00a0\/ \ud559\uc220\uc9c0: TMLR #Breakthrough in Neural Scaling Law Active Prompt Learning with Vision-Language Model Priors \uc5f0\ub3c4: 2025 [&hellip;]<\/p>\n","protected":false},"author":256446466,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_crdt_document":"","footnotes":""},"class_list":["post-11654","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ 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