{"id":"2110.05789","title":"Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval","url":"https://codeofpaper.com/paper/2110.05789","arxiv_url":"https://arxiv.org/abs/2110.05789","published":"2021-10-12","code":"official","best":{"full_name":"jingtaozhan/RepCONC","url":"https://github.com/jingtaozhan/RepCONC","tier":"official","stars":119,"license":"MIT","framework":null,"language":"Python","last_commit":"2024-08-07T03:17:36"},"most_starred_community":null,"implementations":[{"full_name":"jingtaozhan/RepCONC","url":"https://github.com/jingtaozhan/RepCONC","tier":"official","stars":119,"license":"MIT","framework":null,"language":"Python","last_commit":"2024-08-07T03:17:36"}],"possible_matches":0}