Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [multi-label-classification]

For questions related to the multi-label classification problem, i.e. each example (or instance) can be labelled with more than one label.

30 questions
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Which other loss functions for hierarchical multi-label classification could I use?

I am looking to try different loss functions for a hierarchical multi-label classification problem. So far, I have been training different models or submodels like multilayer perceptron (MLP) branch inside a bigger model which deals with different…
Skinish
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How do you measure multi-label classification accuracy?

Multi-label assignment is the task in machine learning to assign to each input value a set of categories from a fixed vocabulary where the categories need not be statistically independent, so precluding building a set of independent classifiers each…
Nick
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Can I do image classification with Multi Layers Perceptron (MLP)?

I'm seeking guidence here. Can I use Multi Layers Perceptron (MLP), e.g regular flat neural networks, for image classification? Will they perform better than Fisher Faces? Is it difficult to do image classification with a MLP network? It's on basic…
euraad
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Are the labels updated during training in the algorithm presented in "An algorithm for correcting mislabeled data"?

I am trying to understand an algorithm for correcting mislabeled data in the paper An algorithm for correcting mislabeled data (2001) by Xinchuan Zeng et al. The authors are suggesting to update the output class probability vector using the formula…
ViB
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Neural network to extract correlated columns

I want to use a neural network to find correlated columns in a .csv file and give them as a output. The input .csv file has multiple columns with 0 and 1 ( like Booleans) in it. The file got the assignment from people to interests in it. Example…
P4rz1val
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Why is there more than one way of calculating the accuracy?

Some sources consider the true negatives (TN) when computing the accuracy, while some don't. Source 1: https://medium.com/greyatom/performance-metrics-for-classification-problems-in-machine-learning-part-i-b085d432082b Source…
Stephen Philip
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Backpropagation with multiple output neurons but only one loss value

Suppose we have the following neural network (in reality it is a CNN with 60k parameters): This image, as well as the terminology used here, is borrowed from Matt Mazur As is visible, there are two neurons in the output layer, namely o1 and o2.…
Value_Investor
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Image classification problem with multiple right classes

I have a use case where the model needs to detect fabricdefects. There are 15+ different kinds of defects. In one image there can be multiple defects present. The straight forward solution for this should be a multilabel model from my understanding.…
Nick De Wispelaere
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Do the terms multi-task and multi-output refer to the same thing in the context of deep learning?

Do the terms multi-task and multi-output refer to the same thing in the context of deep learning (with neural networks)? For example, do neural networks for multi-task learning use multiple outputs? If not, what is the difference between them? It…
user366312
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How do RNN's for sentiment classification deal with different sentence lengths?

I have been doing a course which teaches you about Deep Neural Networks, during one of the exercises I was made to make an RNN for sentiment classification which I did, but I did not understand how an RNN is able to deal with sentences of different…
jr123456jr987654321
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Recent algorithms for correcting mislabeled data using multilayer perceptrons

I am doing literature research on algorithms for correcting mislabeled data using multilayer perceptrons. Found an "old" paper An algorithm for correcting mislabeled data (2001) by Xinchuan Zeng et al. Please share if you are aware of recent/current…
ViB
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Convolutional network for multilabel classification in NLP

I am trying to label code snippets and I base on this article: https://arxiv.org/pdf/1906.01032.pdf My dataset is just code snippets (tokenized as ascii characters) and 500 different labels from StackOverflow. Currently I have around 1,600,000…
pbartkow
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What is the difference between multi-label and multi-task classification?

I am working on a data-set that has multiple labels associated with it (not necessarily independent of each other). During my development, I am confused if I should consider it as a multi-class multilabel data or a multi-class MTL kind of an…
Payal Mohapatra
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What could cause the hamming loss and subset accuracy to get stuck in a multi-label image classification problem?

I am rather new to deep learning and got some questions on performing a multi-label image classification task with keras convolutional neural networks. Those are mainly referring to evaluating keras models performing multi label classification…
Phil
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What are pros and cons of using a multi-head neural network versus a single neural network for multi-label classification?

I haven't been able to find a good discussion specifically comparing the two (only one describing a classification and regression problem). I am training a classifier to learn both age and gender based on genomic data. Every sample has a known age…
user9317212
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