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chore: Move SDMGrad to [Unreleased] in changelog #742

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ValerianRey merged 1 commit into from
Jun 15, 2026
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chore: Move SDMGrad to [Unreleased] in changelog #742

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8 changes: 7 additions & 1 deletion CHANGELOG.md
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Expand Up @@ -10,6 +10,13 @@ changelog does not include internal changes that do not affect the user.

### Added

- Added `SDMGradWeighting` from
[Direction-oriented Multi-objective Learning: Simple and Provable Stochastic
Algorithms](https://arxiv.org/pdf/2305.18409)
(NeurIPS 2023). It is a stateful `Weighting` that solves for task weights via a simplex-projected
inner loop on a cross-batch matrix `A = J_1 @ J_2.T` (computed from two independent mini-batches
using `autojac.jac`), with a direction-oriented regularizer pulling the descent direction toward
a preference direction.
- Added `DWA` (Dynamic Weight Average) from [End-to-End Multi-Task Learning with
Attention](https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_End-To-End_Multi-Task_Learning_With_Attention_CVPR_2019_paper.pdf)
(CVPR 2019), a stateful `Scalarizer` that weights each value by the relative rate at which its
Expand All @@ -25,7 +32,6 @@ changelog does not include internal changes that do not affect the user.

### Added

- Added `SDMGradWeighting` from [Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms](https://arxiv.org/pdf/2305.18409) (NeurIPS 2023). It is a stateful `Weighting` that solves for task weights via a simplex-projected inner loop on a cross-batch matrix `A = J_1 @ J_2.T` (computed from two independent mini-batches using `autojac.jac`), with a direction-oriented regularizer pulling the descent direction toward a preference direction.
- Added `IMTL-L` (the loss-balancing variant of Impartial Multi-Task Learning) from [Towards
Impartial Multi-Task Learning](https://openreview.net/pdf?id=IMPnRXEWpvr) (ICLR 2021), a stateful
`Scalarizer` that learns a per-task scale `s_i` and combines the values as
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