diff --git a/README.md b/README.md index ded97e7e..22a4bd25 100644 --- a/README.md +++ b/README.md @@ -283,6 +283,7 @@ TorchJD provides many existing aggregators from the literature, listed in the fo | [Constant](https://torchjd.org/stable/docs/aggregation/constant#torchjd.aggregation.Constant) | [ConstantWeighting](https://torchjd.org/stable/docs/aggregation/constant#torchjd.aggregation.ConstantWeighting) | - | | - | [CRMOGMWeighting](https://torchjd.org/stable/docs/aggregation/cr_mogm/#torchjd.aggregation.CRMOGMWeighting) | [On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond](https://proceedings.neurips.cc/paper_files/paper/2022/file/f91bd64a3620aad8e70a27ad9cb3ca57-Paper-Conference.pdf) | | [DualProj](https://torchjd.org/stable/docs/aggregation/dualproj#torchjd.aggregation.DualProj) | [DualProjWeighting](https://torchjd.org/stable/docs/aggregation/dualproj#torchjd.aggregation.DualProjWeighting) | [Gradient Episodic Memory for Continual Learning](https://arxiv.org/pdf/1706.08840) | +| [FairGrad](https://torchjd.org/stable/docs/aggregation/fairgrad#torchjd.aggregation.FairGrad) | [FairGradWeighting](https://torchjd.org/stable/docs/aggregation/fairgrad#torchjd.aggregation.FairGradWeighting) | [Fair Resource Allocation in Multi-Task Learning](https://arxiv.org/pdf/2402.15638) | | [GradDrop](https://torchjd.org/stable/docs/aggregation/graddrop#torchjd.aggregation.GradDrop) | - | [Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout](https://arxiv.org/pdf/2010.06808) | | [GradVac](https://torchjd.org/stable/docs/aggregation/gradvac#torchjd.aggregation.GradVac) | [GradVacWeighting](https://torchjd.org/stable/docs/aggregation/gradvac#torchjd.aggregation.GradVacWeighting) | [Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models](https://arxiv.org/pdf/2010.05874) | | [IMTLG](https://torchjd.org/stable/docs/aggregation/imtl_g#torchjd.aggregation.IMTLG) | [IMTLGWeighting](https://torchjd.org/stable/docs/aggregation/imtl_g#torchjd.aggregation.IMTLGWeighting) | [Towards Impartial Multi-task Learning](https://discovery.ucl.ac.uk/id/eprint/10120667/) |