{"action":"created","issue":{"url":"https://api.github.com/repos/arXivTimes/arXivTimes/issues/568","repository_url":"https://api.github.com/repos/arXivTimes/arXivTimes","labels_url":"https://api.github.com/repos/arXivTimes/arXivTimes/issues/568/labels{/name}","comments_url":"https://api.github.com/repos/arXivTimes/arXivTimes/issues/568/comments","events_url":"https://api.github.com/repos/arXivTimes/arXivTimes/issues/568/events","html_url":"https://github.com/arXivTimes/arXivTimes/issues/568","id":284051806,"number":568,"title":"Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples","user":{"login":"ryutaro-albert2005","id":19339415,"avatar_url":"https://avatars1.githubusercontent.com/u/19339415?v=4","gravatar_id":"","url":"https://api.github.com/users/ryutaro-albert2005","html_url":"https://github.com/ryutaro-albert2005","followers_url":"https://api.github.com/users/ryutaro-albert2005/followers","following_url":"https://api.github.com/users/ryutaro-albert2005/following{/other_user}","gists_url":"https://api.github.com/users/ryutaro-albert2005/gists{/gist_id}","starred_url":"https://api.github.com/users/ryutaro-albert2005/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ryutaro-albert2005/subscriptions","organizations_url":"https://api.github.com/users/ryutaro-albert2005/orgs","repos_url":"https://api.github.com/users/ryutaro-albert2005/repos","events_url":"https://api.github.com/users/ryutaro-albert2005/events{/privacy}","received_events_url":"https://api.github.com/users/ryutaro-albert2005/received_events","type":"User","site_admin":false},"labels":[{"id":480472580,"url":"https://api.github.com/repos/arXivTimes/arXivTimes/labels/Optimization","name":"Optimization","color":"deb887","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2017-12-22T01:47:28Z","updated_at":"2017-12-22T04:13:42Z","closed_at":null,"author_association":"NONE","body":"## 一言でいうと\r\nそれぞれのサンプルの難易度に合わせてサンプリング確率およびLossに掛けるweightを調整する研究。既存の研究を概観しつつ、SGD-WPV、SGD-WTC, SGD-SPV、SGD-STCという新しい手法を提案している。\r\nSGD-*PV：これまでの予測の分散を基準にする。\r\nSGD-*TC：p_i(1-p_i)を基準にする。(p_iはサンプルiのこれまでの正解率)\r\n\r\n### 論文リンク\r\nhttps://arxiv.org/abs/1704.07433\r\n\r\n### 著者/所属機関\r\nHaw-Shiuan Chang, Erik Learned-Miller, Andrew McCallum\r\n\r\n### 投稿日付(yyyy/MM/dd)\r\n2017/04/24\r\n\r\n## 概要\r\n\r\n## 新規性・差分\r\n\r\n## 手法\r\n\r\n## 結果\r\n\r\n## コメント\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/arXivTimes/arXivTimes/issues/comments/353518105","html_url":"https://github.com/arXivTimes/arXivTimes/issues/568#issuecomment-353518105","issue_url":"https://api.github.com/repos/arXivTimes/arXivTimes/issues/568","id":353518105,"user":{"login":"icoxfog417","id":544269,"avatar_url":"https://avatars0.githubusercontent.com/u/544269?v=4","gravatar_id":"","url":"https://api.github.com/users/icoxfog417","html_url":"https://github.com/icoxfog417","followers_url":"https://api.github.com/users/icoxfog417/followers","following_url":"https://api.github.com/users/icoxfog417/following{/other_user}","gists_url":"https://api.github.com/users/icoxfog417/gists{/gist_id}","starred_url":"https://api.github.com/users/icoxfog417/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/icoxfog417/subscriptions","organizations_url":"https://api.github.com/users/icoxfog417/orgs","repos_url":"https://api.github.com/users/icoxfog417/repos","events_url":"https://api.github.com/users/icoxfog417/events{/privacy}","received_events_url":"https://api.github.com/users/icoxfog417/received_events","type":"User","site_admin":false},"created_at":"2017-12-22T04:13:42Z","updated_at":"2017-12-22T04:13:42Z","author_association":"OWNER","body":"アイデアは #566 にも似てますね。こちらの方が省エネでよさそうな印象。"}}
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