[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-neurips":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"a45e1360-3d46-4267-a7d4-2d14acff67a0","NeurIPS","neurips",4,"NeurIPS 是機器學習領域最重要的年度會議之一，聚焦深度學習、最佳化、強化學習、生成模型與理論方法。對研究者與工程團隊來說，它不只代表論文發表，也反映當前模型設計、評測與實驗趨勢的變化。","NeurIPS is one of the key annual meetings in machine learning, covering deep learning, optimization, reinforcement learning, generative models, and theory. For researchers and engineering teams, it signals where model design, evaluation, and experimental practice are heading.",[12],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"5af4a470-24d3-4ff7-8dee-9f9449a32730","ml-conferences-tracker-deadlines-papers-en","ML Conferences Tracker for Deadlines and Papers","A GitHub notebook tracks ML conference dates, deadlines, and accepted papers for ICML, NeurIPS, ICLR, CVPR, ACL, and more.","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Fcover-1774617054017-p2t3pl.png","en","2026-03-27T13:10:54.807049+00:00"]