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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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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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Hello Authors,
In the Channel Task Prompt Learning Part (code: Multi-Task-Transformer/TaskPrompter/models/transformers/taskprompter.py L249), the line: chan_prompts = self.chan_proj(chan_x) has be…
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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.
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Hi Guys,
I am pretty excited to see this framework. Thank alot guys for putting a lot of effort into this framework development.
The Jupyter Hub notebook tutorials are excellent.
I tried to co…