{"id":1363,"date":"2025-12-17T12:56:04","date_gmt":"2025-12-17T11:56:04","guid":{"rendered":"https:\/\/www.ideas.edu.pl\/?post_type=publikacje&#038;p=1363"},"modified":"2025-12-17T12:56:04","modified_gmt":"2025-12-17T11:56:04","slug":"guide-guidance-based-incremental-learning-with-diffusion-models","status":"publish","type":"publikacje","link":"https:\/\/www.ideas.edu.pl\/en\/publikacje\/guide-guidance-based-incremental-learning-with-diffusion-models\/","title":{"rendered":"GUIDE: Guidance-based Incremental Learning with Diffusion Models"},"content":{"rendered":"<p>We introduce GUIDE, a novel continual learning approach that directs diffusion models to rehearse samples at risk of being forgotten. Existing generative strategies combat catastrophic forgetting by randomly sampling rehearsal examples from a generative model. Such an approach contradicts buffer-based approaches where sampling strategy plays an important role. We propose to bridge this gap by incorporating classifier guidance into the diffusion process to produce rehearsal examples specifically targeting information forgotten by a continuously trained model. This approach enables the generation of samples from preceding task distributions, which are more likely to be misclassified in the context of recently encountered classes. <\/p>\n\n\n\n<p>Our experimental results show that GUIDE significantly reduces catastrophic forgetting, outperforming conventional random sampling approaches and surpassing recent state-of-the-art methods in continual learning with generative replay.<\/p>\n\n\n\n<p>Authors: Bartosz Cywi\u0144ski, Kamil Deja, Tomasz Trzci\u0144ski, Bart\u0142omiej Twardowski, \u0141ukasz Kuci\u0144ski<\/p>\n\n\n\n<div style=\"height:64px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group is-layout-grid wp-container-core-group-is-layout-e2bd5cb0 wp-block-group-is-layout-grid\"><\/div>\n\n\n\n<div class=\"wp-block-group is-layout-grid wp-container-core-group-is-layout-e2bd5cb0 wp-block-group-is-layout-grid\"><\/div>","protected":false},"template":"","nazwa-konferencji":[17],"rodzaj-publikacji":[13],"rok-publikacji":[14],"class_list":["post-1363","publikacje","type-publikacje","status-publish","hentry","nazwa-konferencji-konferencja-ecai","rodzaj-publikacji-artykul-konferencyjny","rok-publikacji-14"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>GUIDE: Guidance-based Incremental Learning with Diffusion Models &#8226; IDEAS Instytut Badawczy<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ideas.edu.pl\/en\/publikacje\/guide-guidance-based-incremental-learning-with-diffusion-models\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GUIDE: Guidance-based Incremental Learning with Diffusion Models &#8226; IDEAS Instytut Badawczy\" \/>\n<meta property=\"og:description\" content=\"We introduce GUIDE, a novel continual learning approach that directs diffusion models to rehearse samples at risk of being forgotten. Existing generative strategies combat catastrophic forgetting by randomly sampling rehearsal examples from a generative model. Such an approach contradicts buffer-based approaches where sampling strategy plays an important role. We propose to bridge this gap by [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.ideas.edu.pl\/en\/publikacje\/guide-guidance-based-incremental-learning-with-diffusion-models\/\" \/>\n<meta property=\"og:site_name\" content=\"IDEAS Instytut Badawczy\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/feature-image-home.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1800\" \/>\n\t<meta property=\"og:image:height\" content=\"945\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/guide-guidance-based-incremental-learning-with-diffusion-models\\\/\",\"url\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/guide-guidance-based-incremental-learning-with-diffusion-models\\\/\",\"name\":\"GUIDE: Guidance-based Incremental Learning with Diffusion Models &#8226; IDEAS Instytut Badawczy\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#website\"},\"datePublished\":\"2025-12-17T11:56:04+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/guide-guidance-based-incremental-learning-with-diffusion-models\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/guide-guidance-based-incremental-learning-with-diffusion-models\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/guide-guidance-based-incremental-learning-with-diffusion-models\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Strona g\u0142\u00f3wna\",\"item\":\"https:\\\/\\\/www.ideas.edu.pl\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Publikacje\",\"item\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"GUIDE: Guidance-based Incremental Learning with Diffusion Models\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#website\",\"url\":\"https:\\\/\\\/www.ideas.edu.pl\\\/\",\"name\":\"IDEAS Instytut Badawczy\",\"description\":\"Pa\u0144stwowa jednostka badawczo-naukowa\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#organization\"},\"alternateName\":\"IDEAS\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.ideas.edu.pl\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#organization\",\"name\":\"IDEAS Instytut Badawczy\",\"url\":\"https:\\\/\\\/www.ideas.edu.pl\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.ideas.edu.pl\\\/wp-content\\\/uploads\\\/e90241d6e73025d0d829abc28d67cb84.svg\",\"contentUrl\":\"https:\\\/\\\/www.ideas.edu.pl\\\/wp-content\\\/uploads\\\/e90241d6e73025d0d829abc28d67cb84.svg\",\"width\":152,\"height\":43,\"caption\":\"IDEAS Instytut Badawczy\"},\"image\":{\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"GUIDE: Guidance-based Incremental Learning with Diffusion Models &#8226; IDEAS Instytut Badawczy","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.ideas.edu.pl\/en\/publikacje\/guide-guidance-based-incremental-learning-with-diffusion-models\/","og_locale":"en_US","og_type":"article","og_title":"GUIDE: Guidance-based Incremental Learning with Diffusion Models &#8226; IDEAS Instytut Badawczy","og_description":"We introduce GUIDE, a novel continual learning approach that directs diffusion models to rehearse samples at risk of being forgotten. Existing generative strategies combat catastrophic forgetting by randomly sampling rehearsal examples from a generative model. Such an approach contradicts buffer-based approaches where sampling strategy plays an important role. We propose to bridge this gap by [&hellip;]","og_url":"https:\/\/www.ideas.edu.pl\/en\/publikacje\/guide-guidance-based-incremental-learning-with-diffusion-models\/","og_site_name":"IDEAS Instytut Badawczy","og_image":[{"width":1800,"height":945,"url":"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/feature-image-home.webp","type":"image\/webp"}],"twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.ideas.edu.pl\/publikacje\/guide-guidance-based-incremental-learning-with-diffusion-models\/","url":"https:\/\/www.ideas.edu.pl\/publikacje\/guide-guidance-based-incremental-learning-with-diffusion-models\/","name":"GUIDE: Guidance-based Incremental Learning with Diffusion Models &#8226; IDEAS Instytut Badawczy","isPartOf":{"@id":"https:\/\/www.ideas.edu.pl\/#website"},"datePublished":"2025-12-17T11:56:04+00:00","breadcrumb":{"@id":"https:\/\/www.ideas.edu.pl\/publikacje\/guide-guidance-based-incremental-learning-with-diffusion-models\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.ideas.edu.pl\/publikacje\/guide-guidance-based-incremental-learning-with-diffusion-models\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.ideas.edu.pl\/publikacje\/guide-guidance-based-incremental-learning-with-diffusion-models\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Strona g\u0142\u00f3wna","item":"https:\/\/www.ideas.edu.pl\/"},{"@type":"ListItem","position":2,"name":"Publikacje","item":"https:\/\/www.ideas.edu.pl\/publikacje\/"},{"@type":"ListItem","position":3,"name":"GUIDE: Guidance-based Incremental Learning with Diffusion Models"}]},{"@type":"WebSite","@id":"https:\/\/www.ideas.edu.pl\/#website","url":"https:\/\/www.ideas.edu.pl\/","name":"IDEAS Research Institute","description":"State research and scientific unit","publisher":{"@id":"https:\/\/www.ideas.edu.pl\/#organization"},"alternateName":"IDEAS","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.ideas.edu.pl\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.ideas.edu.pl\/#organization","name":"IDEAS Research Institute","url":"https:\/\/www.ideas.edu.pl\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.ideas.edu.pl\/#\/schema\/logo\/image\/","url":"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/e90241d6e73025d0d829abc28d67cb84.svg","contentUrl":"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/e90241d6e73025d0d829abc28d67cb84.svg","width":152,"height":43,"caption":"IDEAS Instytut Badawczy"},"image":{"@id":"https:\/\/www.ideas.edu.pl\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/www.ideas.edu.pl\/en\/wp-json\/wp\/v2\/publikacje\/1363","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ideas.edu.pl\/en\/wp-json\/wp\/v2\/publikacje"}],"about":[{"href":"https:\/\/www.ideas.edu.pl\/en\/wp-json\/wp\/v2\/types\/publikacje"}],"wp:attachment":[{"href":"https:\/\/www.ideas.edu.pl\/en\/wp-json\/wp\/v2\/media?parent=1363"}],"wp:term":[{"taxonomy":"nazwa-konferencji","embeddable":true,"href":"https:\/\/www.ideas.edu.pl\/en\/wp-json\/wp\/v2\/nazwa-konferencji?post=1363"},{"taxonomy":"rodzaj-publikacji","embeddable":true,"href":"https:\/\/www.ideas.edu.pl\/en\/wp-json\/wp\/v2\/rodzaj-publikacji?post=1363"},{"taxonomy":"rok-publikacji","embeddable":true,"href":"https:\/\/www.ideas.edu.pl\/en\/wp-json\/wp\/v2\/rok-publikacji?post=1363"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}