[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-taskification":3},{"tag":4,"articles":9},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":8},"f74b35ab-fb57-49fe-849e-d9c659c214d8","taskification",2,null,[10],{"id":11,"slug":12,"title":13,"summary":14,"category":15,"image_url":16,"cover_image":16,"language":17,"created_at":18},"13b6551e-f990-4e6b-aa8d-e410b134df43","task-boundaries-can-skew-continual-learning-results-en","Task boundaries can skew continual learning results","A new paper shows that how you split a stream into tasks can change continual learning results, even when the data, model, and budget stay fixed.","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777010808102-k8tq.png","en","2026-04-24T06:06:31.283203+00:00"]