https://hackerpaper.kaipfister.de/p/2304.03757/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=39169694urn:hackerpapers:mention:2304.03757:39169694Sun, 28 Jan 2024 20:54:18 GMT<p>TLDR: Take an automated vehicle reading a road sign as an example. If someone has placed a sticker on the sign, this will not distract a human driver. But a machine may easily be put off because the sign is now different from the ones it was trained on. “We would like algorithms to be stable in the sense, that if the input is changed slightly the output will remain almost the same. Real life involves all kinds of noise which humans are used to ignore, while machines can get confused,” says Professor Amir Yehudayoff, heading the group. As the first in the world, the group together with…</p><p><a href="https://hackerpaper.kaipfister.de/p/2304.03757/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LGhttps://news.ycombinator.com/item?id=39155448urn:hackerpapers:submission:2304.03757:39155448Sat, 27 Jan 2024 13:39:15 GMT<p>Replicability and Stability in Learning</p><p></p><p>1 point; 1 discussion reply on HN. <a href="https://hackerpaper.kaipfister.de/p/2304.03757/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LG