# jeromerony/dml\_cross\_entropy

<https://repo.masters-masters.com/en/repos/jeromerony/dml_cross_entropy>

[Home](https://repo.masters-masters.com/en) › [jeromerony](https://repo.masters-masters.com/en/owners/jeromerony) › [dml\_cross\_entropy](https://repo.masters-masters.com/en/repos/jeromerony/dml_cross_entropy)

jeromerony/dml\_cross\_entropy has 168 stars on GitHub. Its RepoMasters card: Prototype tier. Code for the paper "A unifying mutual information view of metric…

| Field | Value |
| --- | --- |
| Owner | [jeromerony](https://repo.masters-masters.com/en/owners/jeromerony) |
| Stars | 168 |
| Forks | 19 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-3-Clause |
| Created | 2020 |
| Topics | metric-learning, deep-learning, cross-entropy |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jeromerony/dml\_cross\_entropy](https://github.com/jeromerony/dml_cross_entropy) |

## Repository

Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)

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.