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hello，
i'm very interested in the paper. I have some questions about the execution of the entire process.
1."python train.py --machine ws --config configs/cityscapes_monodepth_highres_dec5_crop.yml
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the example [examples/training/quora_duplicate_questions/training_multi-task-learning.py](https://github.com/UKPLab/sentence-transformers/blob/master/examples/training/quora_duplicate_questions/traini…
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Good evening. I would like to use a U-Net with a pre-trained ResNet encoder as a multi-task learning neural network with a multi-task weighted loss function. Could you please guide me through this pro…
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Create global model that gets specialised for each subject
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### What feature would you like to be added?
Implement a system for dynamically composing and optimizing agent workflows using reinforcement learning (RL) techniques
(this feature can be integrated…
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Great work!!!
Can you give some examples for multi-task.
I think the examples in 'experiments' are all single tasks.
Is there anything wrong with my understanding?
DuckJ updated
5 years ago
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[KorNLUDatasets](https://github.com/kakaobrain/KorNLUDatasets) 를 참고하여 진행
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I am a little confused about the objective function. In the paper you said that the total objective function is to minimize formula (15) (Kendall, Gal, and Cipolla 2018), but the code seems just simpl…
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Hi guys,
How can I use neon to do multi task learning?
First, I tired to use layer container to handle multiple inputs and multiple outputs. But the problem is "Arrayiterator" can not handle multi…
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It will be very useful if h2o deep learning allows to create the multi task model. As input it supposed to use multiple response columns with opportunity to ignore missing values.