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Questions tagged [semisupervised-learning]

29 questions
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Giving higher weight to a labeling function in Snorkel

I am using snorkel to create labels for my training data. I currently have five labeling functions for the task which I have stored in a list. I am using the following code to apply the labeling function: lfs = [lf_a, lf_b, lf_c, lf_d, lf_e] applier…
confused_certainties
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How to classify images with Variational Autoencoder

I have trained an autoencoder in both labeled images (1200) and unlabeled images (4000) and I have both models saved separately (vae_fake_img and vae_real_img). So I was wondering what to do next. I know Variational Autoencoders are not useful for a…
Savoyevatel
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Semi Supervised learning for tabular data VIME for 1-dimensional y_test

The vime_semi.py file of the Tensorflow implementation of VIME (https://github.com/jsyoon0823/VIME) has been implemented, assuming that y_train, y_test will be a 2-d array. In my dataset I have a 1-d array for y_train and y_test. So far, I have done…
Sahil Sahu
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Image (instance) segmentation when the given masking information is partial

In my problem, there are about 5,000 training images and there are about 50~100 objects of identical type (or class) on average, per image. And for each training images, there is a partial mask information that denotes the polygon vertices of…
jeff pentagon
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Poor accuarcy score for Semi-Supervised Support Vector machine

I am using a Semi-Supervised approach for Support Vector Machine in Python for the image classification from PASCAL VOC 2007 data. I have tried with the default parameters from the libraries and also tuned them but it get extremely bad accuracy of…
Ranji Raj
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Pseudo Labelling on Text Classification Python

I'm not good at machine learning. Can someone tell me how to doing text classification with pseudo labeling in python? I never know the right implementation, I have searched everywhere in internet, but I give up as found anything :'( I just found…
Cookie Monster
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(semi) supervised learning; The custom trainings loop doesn't train the model properly. The training seems to ignore any weights

I try to code a semi-supervised model for a project besides the university. First I got a model which trained with the model.fit (I tested the model with supervised learning first). But for semi-supervised learning, I need flexibility, therefore I…
Atrimurti
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How much data is needed for a Feedback loop based semi-supervised model?

I was researching about the many semi-supervised models that are there for anomaly detection. But none of them mentioned the ratio of labeled and un-labeled data that will be needed for training. In my case I only have 5-6 labeled data points. Rest…
Harshita Rathee
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Unsupervised fine-tuning on custom documents after the supervised fine tuning on general question-answers dataset. Will it be useful for GPT-2 model?

I know the formal way of training a GPT2 model on custom documents is to first do semi-supervised fine tuning on the text of the documents followed by supervised fine-tuning on question answers from the same documents. But the sole purpose of…
Ratna Sambhav
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Using Semi-Supervised Learning with Incomplete Covariants in a Small Sample Size

I'm working on my master's thesis and using semi-supervised learning to predict who might have Psychosis based on certain factors. I'm working with a small sample size of about 5,000. Lucky for me, I've also got a bunch of unlabeled samples which…
kasper
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Semi-supervised svm model running forever

I am experimenting with the Elliptic bitcoin dataset and tried checking the performance of the datasets on supervised and semi-supervised models. Here is the code of my supervised SVM model: classified =…
No_Name
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how to use the fitcnb function in matlab to train naive bayes for sentiment analysis

I'm trying to do semi-supervised learning for sentiment analysis using naive bayes in matlab. the data im using is IMBD reviews which have been labelled either positive or negative determining the sentiment of the review. I have loaded the data,…
Oliver Dickinson
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Semi supervised learning or clustering?

I am having a problem in doing my end of studies project. I have labeled data with a lot of variables (Y is a continous variable in my case) and when I will do prediction I have just a small amount of variables that I can use (say 5 or 6) so when I…
Abdelkabir
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pytorch OOM error when using a specific batch size and image size

I am trying to train the U2PL (https://github.com/Haochen-Wang409/U2PL) method on my customed dataset, and came accross an OOM error when training with train_sup.py with image size = 320x320 and batch size = 4. I am using two GPUs. "Tried to…
Sara
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"Delete" classes from images so I can use them as unlabeled Dataset

I have a dataset that is already labeled with specific class names and it is saved on my Computer as: Train Dataset : -5_1 -5_2 -5_3 etc... Where the subfolders(5_1, 5_2, etc.) are the classes of the images. I want to use semi-supervised training…
Gio Sfat
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