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## 一言でいうと
マルチタスク学習で発生する勾配の対立(Task1とTask2とで進む勾配が逆方向)を解消する手法の提案。逆方向になる場合、勾配を相手勾配の直行平面(Normal plane)に射影することで計算した競合要素を差し引く(競合要素のみ減衰し他は活かす)。シンプルな手法ながらマルチタスク強化学習の性能を大幅に改善
![image](https://user-images.…
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The purpose of this issue is to track the progress related to the migration of the datasets historically associated with the server `http://insight-journal.org/midas`
The associated MIDAS communiti…
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@majosm shared this view of what's being communicated in a specific computation (help?) by mirgecom:
https://gist.githubusercontent.com/majosm/4e847cd82a5dc9918e6c8f2984cb0c76/raw/87d41902543dde4de…
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### 🚀 The feature, motivation and pitch
PyTorch makes it unnecessarily difficult to work with [Deep Implicit Models](https://implicit-layers-tutorial.org/). Deep Implicit Layers/Models are characteri…
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Hi, after training 1.5million steps with setting in issue:https://github.com/prajdabre/yanmtt/issues/39
I check the loss in tensorboard, and the image is as following
and refer to the run_train.…
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It's nice that we can intervene on a model's state PyTree, which in Feedbax is an `equinox.Module` object that is modified out-of-place by the model itself, which is an instance of [`AbstractStagedMod…
mlprt updated
2 months ago
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Hi Paul,
Thank you for introducing this interesting idea of poisoning the tranformers with trigger words.
I'm trying to run your model based on the example_manifesto.yaml with a change of trigg…
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Hello all,
I have a very simple question. How to compute gradients w.r.t. a subset of parameters. Let's say I have a model like:
```swift
struct Model: Layer {
var a = Tensor(1.0)
var…
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### Expected behavior
Creating a tape should initialize the `trainable_params` property according to the parameters received:
```py
weights = [0.1, 0.2]
with qml.tape.QuantumTape() as tape:
q…
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Hi,
Thanks for open sourcing the code, this is great!
Could you share your json parameter file for cityscapes?
Also, I think it is is missing the file `depth_mean.npy` to be able to run it.
Than…