Newest 'multitask-learning' Questions

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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, ...

asked Jul 14 at 12:49

Qaisar Rajput

1013 bronze badges

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vote

1answer

36 views

Combining heterogeneous data sets for more powerful machine learning

Suppose we have two data sets of movie reviews; one from IMDB and one from Rotten Tomatoes (RT). Each entry has a written-review and a score attached to it. The concatenated datasets might look like ...

deep-learning dataset sentiment-analysis multitask-learning

asked Jul 7 at 18:47

Peter DeWeirdt

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1answer

120 views

Implementing Multitask Classification in Keras

I am Trying to implement Multitask Learning in Keras with share constitutional Layers and task specific FC layers. Following is my model: ...

keras multitask-learning

asked May 9 at 6:53

Muhammad Fasiurrehman Sohi

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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 \...

neural-network deep-learning keras time-series multitask-learning

asked Mar 9 at 18:15

generic_user

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1answer

75 views

Why and how BERT can learn different attentions for each head?

https://towardsdatascience.com/deconstructing-bert-distilling-6-patterns-from-100-million-parameters-b49113672f77 I read the blog above. It visualizes that different color/head has different ...

deep-learning nlp transfer-learning multitask-learning attention-mechanism

asked Dec 21 '18 at 3:34

不是phd的phd

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Should I rescale losses before combining them for multitask learning?

I have a multitask network taking one input and trying to achieve two tasks (with several shared layers, and then separate layers). One task is multiclass classification using the CrossEntropy loss, ...

neural-network loss-function multitask-learning

asked Oct 25 '18 at 12:57

Silver Duck

62 bronze badges

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votes

1answer

544 views

Missing outputs in multiple-output neural net

I am looking at a task, where I want to predict multiple things from an image (an animal's breed [categorical], age [continuous number] and gender [categorical]). Unsurprisingly, my first thought was ...

neural-network keras cnn missing-data multitask-learning

asked Apr 3 '18 at 16:27

Björn

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4

votes

1answer

783 views

Thoughts on improving the Multitask Learning Model

Any Thoughts on improving the Model. So far i was able to achieve around accuracy 0.20 on each task specific dense network of a Multi task Learning Architecture. I have posted model and validation ...

keras multitask-learning

asked Mar 19 '18 at 15:01

James K J

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Multi task learning architecture for Multi-label classification

I am working a classification problem. The dataset was collected from Painters by number, a competition hosted by kaggle. The task is to identify painter,style and genre given paintings. So far, I ...

keras multitask-learning

asked Mar 8 '18 at 19:10

James K J

1349 bronze badges

4

votes

4answers

4k views

Multi target classification for different types of target variables

I am new to machine learning and I got this task in my university. I have a dataset with over 100 columns and two target variables: $target1$ is categorical i.e. $0$ or $1$ and $target2$ is continuous ...

python multilabel-classification multitask-learning

asked Feb 9 '18 at 11:18

Rajeev Motwani

361 silver badge5 bronze badges

12

votes

1answer

5k views

Multi task learning in Keras

I am trying to implement shared layers in Keras. I do see that Keras has keras.layers.concatenate, but I am unsure from documentation about its use. Can I use it to ...

machine-learning neural-network deep-learning keras multitask-learning

asked Feb 5 '18 at 19:56

Aditya

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vote

1answer

622 views

Multitask learning NN only trains on a few tasks

I am fairly new to the Machine Learning field, but I am working on building a multi-task network for a project I am working on. Unfortunately, despite all my best googling and digging through ...

machine-learning tensorflow keras multitask-learning

asked Jan 9 '18 at 22:16

THerzog

213 bronze badges

3

votes

1answer

371 views

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 ...

neural-network classification deep-learning multilabel-classification multitask-learning

asked Dec 25 '17 at 17:31

SHASHANK GUPTA

1,0051 gold badge12 silver badges21 bronze badges

2

votes

3answers

893 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 ...

time-series forecast multitask-learning lstm

asked Jul 17 '17 at 9:53

Nmaple

161 bronze badge

5

votes

1answer

66 views

Error on multitask neural nets where all outputs not observed for every example

Let's say I have 2 datasets, each from a set of experiments. Dataset A measures a set of properties X for set S, while dataset B measures properties Y for set T. X and Y are highly correlated, and S ...

machine-learning multitask-learning backpropagation theano

asked Nov 11 '15 at 15:37

jamesmf

2,49710 silver badges20 bronze badges

5

votes

1answer

2k views

How to do multitask learning using Caffe?

I wonder how to do multitask learning using Caffe. Should I simply use the output layer SigmoidCrossEntropyLoss or EuclideanLoss, and define more than one outputs? E.g. is the following architecture ...

deep-learning multitask-learning

asked Jul 12 '15 at 19:08

Franck Dernoncourt

3,6514 gold badges25 silver badges66 bronze badges

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Questions tagged [multitask-learning]

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

Combining heterogeneous data sets for more powerful machine learning

Implementing Multitask Classification in Keras

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

Why and how BERT can learn different attentions for each head?

Should I rescale losses before combining them for multitask learning?

Missing outputs in multiple-output neural net

Thoughts on improving the Multitask Learning Model

Multi task learning architecture for Multi-label classification

Multi target classification for different types of target variables

Multi task learning in Keras

Multitask learning NN only trains on a few tasks

Multi-task learning for Multi-label classification?

Multi-Source Time Series Data Prediction

Error on multitask neural nets where all outputs not observed for every example

How to do multitask learning using Caffe?

Hot Network Questions

Questions tagged [multitask-learning]

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