From 482584966bf0d1065f3e78a6f5baf9225cca4125 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Val=C3=A9rian=20Rey?= Date: Thu, 28 May 2026 14:47:11 +0200 Subject: [PATCH] Stop talking about generalized weightings in docs --- docs/source/examples/index.rst | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/docs/source/examples/index.rst b/docs/source/examples/index.rst index 9d0c4884..603c8a3f 100644 --- a/docs/source/examples/index.rst +++ b/docs/source/examples/index.rst @@ -20,8 +20,7 @@ This section contains some usage examples for TorchJD. dedicated backpropagation function :doc:`mtl_backward <../docs/autojac/mtl_backward>`. - :doc:`Instance-Wise Multi-Task Learning (IWMTL) ` shows how to combine multi-task learning with instance-wise risk minimization: one loss per task and per element of the batch, using the - :doc:`autogram.Engine <../docs/autogram/engine>` and a :doc:`GeneralizedWeighting - <../docs/aggregation/index>`. + :doc:`autogram.Engine <../docs/autogram/engine>`. - :doc:`Recurrent Neural Network (RNN) ` shows how to apply Jacobian descent to RNN training, with one loss per output sequence element. - :doc:`Monitoring Aggregations ` shows how to monitor the aggregation performed by the