Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2007.00808/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTApproximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval — mentioned by blingteamhttps://news.ycombinator.com/item?id=26663250urn:hackerpapers:mention:2007.00808:26663250Thu, 01 Apr 2021 17:06:24 GMT<p>Microsoft | Sr. Data &amp; Applied Scientist | Bellevue, WA | Full-time At the Web Data team we&#x27;re looking for a passionate Applied Scientist to help us on our mission of employing deep learning to understand all the data on the web; the largest store of information in human history. With this understanding we power end-user experiences across a variety of areas, including: • Relevance of search results on Bing.com • Question answering • Recommender systems As a team, we play a central role in document understanding and aggregation of data across documents leveraging the web graph. Work in our…</p><p><a href="https://hackerpaper.kaipfister.de/p/2007.00808/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.IRApproximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval — mentioned by blingteamhttps://news.ycombinator.com/item?id=26352375urn:hackerpapers:mention:2007.00808:26352375Fri, 05 Mar 2021 03:46:47 GMT<p>Microsoft | Sr. Data &amp; Applied Scientist | Bellevue, WA | Full-time At the Web Data team we&#x27;re looking for a passionate Applied Scientist to help us on our mission of employing deep learning to understand all the data on the web; the largest store of information in human history. With this understanding we power end-user experiences across a variety of areas, including: • Relevance of search results on Bing.com • Question answering • Recommender systems As a team, we play a central role in document understanding and aggregation of data across documents leveraging the web graph. Work in our…</p><p><a href="https://hackerpaper.kaipfister.de/p/2007.00808/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.IR