Questions tagged [multitask-learning]

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1answer
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Multi-task learning for Multi-label classification?

I have a multi-label classification problem wherein each example can belong to one of the pre-defined classes (or can belong to none of them). I was wondering if I can somehow apply multi-task ...
2
votes
3answers
1k views

Multi-Source Time Series Data Prediction

I was wondering if anyone has experience with time series prediction for data from multiple sources. So for instance, time series $a,b,..,z$ each have their own shape, some may be correlated with ...
0
votes
0answers
17 views

Confusion Matrix for Multi task Learning using custom data generator

I am working on developing an MTL model. There are two tasks in the model, task1, and task2. And I have used a custom data generator using following code: ...
0
votes
0answers
15 views

Data Loader (imbalanced classes) for Multitask Learning - same input multiple output

I am working on developing an MTL model. There are three tasks in the model, task1, task2, and task3. The classes in these tasks are imalanced and I am stuck at how I should sample from these so that ...
0
votes
0answers
10 views

Multitask learning model with variable number of tasks

This is my basic multitask learning model, and it has 2 tasks. Since there are only 2 tasks, maybe I can duplicate the code for each task as self.tower1 and self.tower2. ...
0
votes
1answer
88 views

ImageDataGenerator for multi task output in Keras using flow_from_directory

I am creating a multitask CNN model and I have two different classification properties (one with 10 classes, 2nd with 5 classes) and my directory structure looks like this: ...
0
votes
1answer
801 views

How to feed data to multi-output Keras model from a single TFRecords file

I know how to feed data to a multi-output Keras model using numpy arrays for the training data. However, I have all my data in a single TFRecords file comprising several feature columns: an image, ...
0
votes
0answers
20 views

How to optimize neural network with mutile losses

There is a multi-task problem that I try to solve with a single neutral network. In general it works fine, but it seems like there is a room for improvement. The final loss to optimize looks like ...
0
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0answers
40 views

Multi-Model Learning | Text and Image | Mutually Differentiable Models | Is it possible?

Problem : Document classification of scanned financial documents using Text (OCR on the images) and Images. The documents are both structural (forms, tables), unstructured (letters, descriptions, ...
0
votes
1answer
262 views

Architecture for multivariate multi-time-series model where some features are TS specific and some features are global

I'm looking to build a time series model (using a TCN or a LSTM) with $N$ different series, each of which has $P$ series-specific features $\mathbf{X}$. My input array is of dimension $N \times t \...