A Meta-Learning Perspective on Cold-Start Recommendations for Items 1. M...
投稿
收录了6篇文章 · 1人关注
-
MetaLearningColdStart，NIPS17, Twitter基于元学习冷启动 -
MetaEmbedding, SIGIR19, 中科院计算所基于元学习的冷启动Warm Up Cold-start Advertisements: Improving CTR Predictions via Learnin...
-
MWUF, SIGIR21, 微信元学习冷启动Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation w...
-
Learning to learn, NIPS16, Google等元学习优化器Learning to learn by gradient descent by gradient descent 1. Motivation ...
-
NASRL, ICLR17, Google基于强化学习的NASNeural architecture search with reinforcement learning 1. Motivation 随着深...
-
MAML, ICML17, Google元学习参数初始化Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 1. Mot...
专题公告
Meta Learning
{var%20f='http://v.t.sina.com.cn/share/share.php?appkey=1881139527',u=z||d.location,p=['&url=',e(u),'&title=',e(t||d.title),'&source=',e(r),'&sourceUrl=',e(l),'&content=',c||'gb2312','&pic=',e(p||'')].join('');function%20a(){if(!window.open([f,p].join(''),'mb',['toolbar=0,status=0,resizable=1,width=440,height=430,left=',(s.width-440)/2,',top=',(s.height-430)/2].join('')))u.href=[f,p].join('');};if(/Firefox/.test(navigator.userAgent))setTimeout(a,0);else%20a();})(screen,document,encodeURIComponent,'','','https://upload.jianshu.io/collections/images/1963780/maml_algorithm.jpg', '推荐专题《元学习》（ 分享自 @简书 ）','https://jianshuapi.com/c/186be8313af5?utm_campaign=maleskine&utm_content=collection&utm_medium=reader_share&utm_source=weibo','页面编码gb2312|utf-8默认gb2312'));){kind=link}