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### Problem statement
I don't believe Flair currently supports training a single task using multiple GPUs. Would it be easier to support Multi GPU training for Multi Task Learning?
### Solution
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Can lassonet be extended to multitask learning neural networks? If so, how do I go about implementing it? TIA
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**Submitting author:** @samvanstroud (Samuel Van Stroud)
**Repository:** https://github.com/umami-hep/salt
**Branch with paper.md** (empty if default branch):
**Version:** v0.5
**Editor:** Pending
**…
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**Describe the bug**
I was testing abess on the multitask learning problem below (deconvolution of a multichannel signal using a known point spread function / blur kernel by regressing the multichann…
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https://arxiv.org/abs/1707.04175
- Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu
- Submitted on 13 Jul 2017
TMats updated
6 years ago
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Hi, thanks for your nice work. how to train the mode on cross dataset as the label scores range from different dataset are different?
some values are less than 10, while some are larger than 50.
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# 論文リンク
http://jmlr.org/papers/v17/15-242.html
# どんなもの?
Multi-task learning (MTL)とLearning to learn (LTL)の設定において汎化誤差の上界を導出した。
# 先行研究と比べてどこがすごい?
タスク数をT、各タスクのデータ数をnとしたときに先行研究 [Baxter(2000)](htt…
MAEA2 updated
5 years ago
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The current behavior of Nkululeko only supports a single target (e.g., `target = emotion`). Given that [scikit-learn supports multiouput labels](https://scikit-learn.org/stable/modules/multiclass.html…