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I'm using (and have used successfully in the past) a Multitask GP in GPyTorch to model sets of 2-d data. However, in many instances, I notice that the covariance factor array does not move away from t…
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## 一言でいうと
自然言語処理のタスク全10個を単一のモデルで解く新しい問題設定と評価手法の提案。タスクは要約・翻訳・質問回答など様々なものを含むが、フォーマットは質問回答の形に還元されている(要約なら、「この文の要約は?」になるなど)。マルチタスクで学習を行い、転移性能が確認できたとのこと。
![image](https://user-images.githubuserconten…
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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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Hi @Jianguo99,
I am new to conformal prediction, and I have a multitask, multi-output model that performs both classification and regression for a specific problem. Is it possible to use this kind …
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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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### Paper Details
**Link**: https://affect.media.mit.edu/pdfs/17.TaylorJaques-PredictingTomorrowsMoods.pdf
**Date**: DEC 2017
**Topic**: personalized MLT models
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I have trained all modules. When I tried to inference a CBCT, some errors arised in the function "cen_cluster" in "cnt_skl_dect.py". Specifically, there were no elements satisfied "voting_map>20" (lin…
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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。
![image](https://user-i…
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### Question
My specific use case:
I'm trying to solve an event-extraction task which I model as a sequence-tagging problem. So this event-tagger should be able to identify the event trigger, actors…