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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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### Metadata
- Authors: Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher
- Organization: Salesforce Research
- Publish Date: 2018.06
- Paper: https://arxiv.org/pdf/1806.08730.pd…
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'''
WARNING:root:bert_config not exists. will load model from huggingface checkpoint.
Traceback (most recent call last):
File "run_weibo_ner_cws.py", line 31, in
train_bert_multitask(proble…
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Hi, I have a problem with multi-task learning when using EfficientNet.
I want to load the pre-trained model and remove the raw FC layers, then add my own 2 new FC layers for 2 different tasks.
H…
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Hi, I have a dataset that involves 2 sequences and the task is classifying the sequence pair. I am not sure how to prepare the input in this case. So far, I have been working with only one sequence wh…
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### Describe the bug
I train a NER&NEL model according to the tutorial https://flairnlp.github.io/flair/master/tutorial/tutorial-training/how-to-train-span-classifier.html. However, if in SpanClass…
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### Paper Details
**Link**: https://affect.media.mit.edu/pdfs/17.TaylorJaques-PredictingTomorrowsMoods.pdf
**Date**: DEC 2017
**Topic**: personalized MLT models
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## 一言でいうと
1つのTransformerで画像・言語・画像&言語(VQA/Visual Entailment(画像の内容と一致する記載か判定する))3種のタスクを学習した研究。Encoderは画像とテキスト、タスク個別にQuery/出力のHeadがある以外はパラメーターを共有する1モデルの構成。どのタスクでも一定程度の精度を達成。
を同時に学習させることで汎化性能を向上させようという話。具体的には同時に学習するためのニューラルネットワークの枠組みを提案している。結果として、タスク単体で学習させるより複数のタスクを同時に学習させた方が良い結果となった。
### 論文リンク
http://citeseerx.ist.ps…
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## ❓ Questions & Help
In tutorial `Advanced_model_training_using_hyperopt.ipynb`, `Advanced_Model_Training.ipynb`, `Large_Scale_Chemical_Screens.ipynb`, `Learning_Unsupervised_Embeddings_for_Molecu…