# mit-gfx/ContinuousParetoMTL

<https://repo.masters-masters.com/en/repos/mit-gfx/ContinuousParetoMTL>

[Home](https://repo.masters-masters.com/en) › [mit-gfx](https://repo.masters-masters.com/en/owners/mit-gfx) › [ContinuousParetoMTL](https://repo.masters-masters.com/en/repos/mit-gfx/ContinuousParetoMTL)

mit-gfx/ContinuousParetoMTL has 147 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICML 2020\] Efficient Continuous Pareto Exploration in Multi-Task…

| Field | Value |
| --- | --- |
| Owner | [mit-gfx](https://repo.masters-masters.com/en/owners/mit-gfx) |
| Stars | 147 |
| Forks | 27 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2020 |
| Topics | multiobjective-optimization, pareto-front, multitask-learning, pareto-optimality, pareto-optimal-solutions, machine-learning, deep-learning, neural-network |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [mit-gfx/ContinuousParetoMTL](https://github.com/mit-gfx/ContinuousParetoMTL) |

## Repository

\[ICML 2020\] Efficient Continuous Pareto Exploration in Multi-Task Learning

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.
