http://bjlkeng.github.io/enTue, 10 Mar 2026 20:54:59 GMTNikola (getnikola.com)http://blogs.law.harvard.edu/tech/rsshttp://bjlkeng.github.io/posts/label-refinery/Brian Keng<div><p>This post is going to be about a really simple idea that is surprisingly effective from a paper by Bagherinezhad et al. called <a class="reference external" href="https://arxiv.org/abs/1805.02641">Label Refinery: Improving ImageNet Classification through Label Progression</a>. The title pretty much says it all but I'll also discuss some intuition and show some experiments on the CIFAR10 and SVHN datasets. The idea is both simple and surprising, my favourite kind of idea! Let's take a look.</p> <p><a href="http://bjlkeng.github.io/posts/label-refinery/">Read more…</a> (10 min remaining to read)</p></div>CIFAR10label refinerymathjaxresidual networkssvhnhttp://bjlkeng.github.io/posts/label-refinery/Tue, 04 Sep 2018 11:26:02 GMT