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ValerianRey merged 3 commits into from
May 28, 2026
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docs: Stop talking about generalized weightings in docs #713

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Stop talking about generalized weightings in docs
ValerianRey May 28, 2026
1964a0c
Merge branch 'main' into stop-talking-about-generalized-weighting
ValerianRey May 28, 2026
34a5cbe
Merge branch 'main' into stop-talking-about-generalized-weighting
ValerianRey May 28, 2026
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3 changes: 1 addition & 2 deletions docs/source/examples/index.rst
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Expand Up @@ -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) <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) <rnn>` shows how to apply Jacobian descent to RNN training,
with one loss per output sequence element.
- :doc:`Monitoring Aggregations <monitoring>` shows how to monitor the aggregation performed by the
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