ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/1711.11443/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases — mentioned by aaron-santoshttps://news.ycombinator.com/item?id=23697360urn:hackerpapers:mention:1711.11443:23697360Wed, 01 Jul 2020 03:10:33 GMT<p>The discussion mentioned the Tutorial on Fairness Accountability Transparency and Ethics in Computer Vision at CVPR 2020. The tutorial was recorded in three parts. The third part[1] includes solutions. These are either direct quotes or paraphrases of the bullet points contained therein. 1. Disaggregated Evaluations[2][3], Counterfactual Testing[4], Interpretability Methods[5] 2. Recognize [l]imitations(sic) of technical approaches (this discussion) 3. Model documentation frameworks[2] 4. Standardized framework for transparent dataset documentation [6] 5. Positionality awareness [7] 6.…</p><p><a href="https://hackerpaper.kaipfister.de/p/1711.11443/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LG