# jingtaozhan/RepCONC

<https://repo.masters-masters.com/en/repos/jingtaozhan/RepCONC>

[Home](https://repo.masters-masters.com/en) › [jingtaozhan](https://repo.masters-masters.com/en/owners/jingtaozhan) › [RepCONC](https://repo.masters-masters.com/en/repos/jingtaozhan/RepCONC)

jingtaozhan/RepCONC has 119 stars on GitHub. Its RepoMasters card: Prototype tier. WSDM'22 Best Paper: Learning Discrete Representations via Constrained…

| Field | Value |
| --- | --- |
| Owner | [jingtaozhan](https://repo.masters-masters.com/en/owners/jingtaozhan) |
| Stars | 119 |
| Forks | 12 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | dense-retrieval, product-quantization, efficiency, neural-ranking, information-retrieval |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jingtaozhan/RepCONC](https://github.com/jingtaozhan/RepCONC) |

## Repository

WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.