{"height":"190","image_url":"https://cdn.blog.st-hatena.com/images/theme/og-image-1500.png","published":"2019-12-17 22:51:25","url":"https://cookie-box.hatenablog.com/entry/2019/12/17/225125","width":"100%","blog_title":"\u30af\u30c3\u30ad\u30fc\u306e\u65e5\u8a18","author_name":"cookie-box","version":"1.0","provider_name":"Hatena Blog","type":"rich","provider_url":"https://hatena.blog","blog_url":"https://cookie-box.hatenablog.com/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fcookie-box.hatenablog.com%2Fentry%2F2019%2F12%2F17%2F225125\" title=\"\u96d1\u8a18\uff1a NeurIPS 2019 Proceedings \u306e\u300c\u4e0d\u78ba\u304b\u300d\u3092\u542b\u3080\u30bf\u30a4\u30c8\u30eb - \u30af\u30c3\u30ad\u30fc\u306e\u65e5\u8a18\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","title":"\u96d1\u8a18\uff1a NeurIPS 2019 Proceedings \u306e\u300c\u4e0d\u78ba\u304b\u300d\u3092\u542b\u3080\u30bf\u30a4\u30c8\u30eb","categories":["\u96d1\u8a18"],"description":"\u30ad\u30e3\u30e9\u30af\u30bf\u30fc\u306f\u67b6\u7a7a\u306e\u3082\u306e\u3067\u3059\u3002\u4f55\u304b\u3042\u308a\u307e\u3057\u305f\u3089\u3054\u6307\u6458\u3044\u305f\u3060\u3051\u307e\u3059\u3068\u5e78\u3044\u3067\u3059\u3002\u53c2\u8003\u6587\u732e NeurIPS 2019 Proceedings NeurIPS 2019 Proceedings \u306e\u30b5\u30a4\u30c8\u3092\u307f\u308b\u3068\u30bf\u30a4\u30c8\u30eb\u306b uncertain \u3092\u542b\u3080\u767a\u8868\u304c\u202617\u4ef6\u3082\u3042\u308a\u307e\u3059\u306d\u3002\u4e0a\u304b\u3089\u9806\u306b\u30e1\u30e2\u3057\u3066\u3044\u304d\u307e\u3059\u304b\u2026\u9762\u5012\u3067\u3059\u304c\u2026\u3002\u306a\u304a\u3001\u73fe\u6642\u70b9\u3067\u30af\u30ea\u30c3\u30af\u5148\u3067\u95b2\u89a7\u3067\u304d\u308b\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u3092\u4e00\u901a\u308a\u8aad\u3093\u3060\u306e\u307f\u306e\u76f4\u611f\u7684\u306a\u7406\u89e3\u3067\u3042\u308b\u3053\u3068\u306b\u7559\u610f\u304f\u3060\u3055\u3044\u3002 Correlated Uncertainty for Learning Dense Correspondences from Noisy LabelsNatalia Nevero\u2026","author_url":"https://blog.hatena.ne.jp/cookie-box/"}