{"version":"1.0","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/f/fltech/20211209/20211209095819.png","width":"100%","author_name":"fltech","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog-en.fltech.dev%2Fentry%2F2023%2F01%2F13%2Fiisc-neurips2022-paper-en\" title=\"&quot;Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics&quot; presented on NeurIPS 2022 - fltech - Technology Blog of Fujitsu Research\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","published":"2023-01-13 07:00:00","type":"rich","categories":["AI"],"blog_url":"https://blog-en.fltech.dev/","author_url":"https://blog.hatena.ne.jp/fltech/","url":"https://blog-en.fltech.dev/entry/2023/01/13/iisc-neurips2022-paper-en","provider_url":"https://hatena.blog","blog_title":"fltech - Technology Blog of Fujitsu Research","height":"190","provider_name":"Hatena Blog","title":"\"Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics\" presented on NeurIPS 2022","description":"Recently, in our joint research with the Indian Institute of Science, we have developed an AI technology called cost-sensitive self-training that can optimize practical real-world metrics which are complex and present it at NeurIPS 2022. In this blog post, we introduce our joint research. Paper Titl\u2026"}