Questions tagged [model-request]
Use this tag when you're looking for machine learning models that could be used to solve your specific problem.
15
questions
2
votes
0answers
36 views
What algorithms are used in Artificial General Intelligence research?
I've read on wiki that already in 2017 there were over 40 institutions researching AGI, and I wonder what type of algorithms are being studied and developed in this field.
For example, for comparison ...
1
vote
0answers
20 views
What is the best way to train neural network with imbalanced mixed data (images and structured data)?
I have structured data and image data to solve a regression problem. One sample of structured data can be related to N images.
If I use only structured data, I get decent performance, but not enough ...
0
votes
0answers
19 views
Which well known node embedding algorithms to use for weighted graphs?
I am looking for a node representation learning algorithm to generate node embeddings that supports weighted graphs.
I modified GCN to support weighted graphs, but I want to know an algorithm that ...
1
vote
0answers
14 views
Model for direct audio-to-audio speech re-encoding
There are many resources available for text-to-audio (or vice versa) synthesis, for example Google's 'Wavenet'.
These tools do not allow the finer degree of control that may be required regarding the ...
0
votes
1answer
61 views
What type of ANN architecture to choose?
I have $N$ number of teachers each of which has an input feature vector ($25$ dimensional) consisting of positive numerical values for different quality of aspects (for example: lecturing ability, ...
1
vote
1answer
47 views
What kind of neural network should I build to classify each instance of a time series sequence?
Let's say I have the time-series dataset below-left. I would like to train a model in such a way that, if I feed the model with an input like the test sequence below, it should be able to classify ...
1
vote
1answer
27 views
What would be the state of the art image captioning deep learning model?
I saw a couple of architectures, like CNN-LSTM, with and without attention model, use of Glove vector, self-critical models, etc. I am overwhelmed looking at different notebooks and architectures, ...
0
votes
0answers
23 views
Can RNNs be used to classify these time series into two classes?
My task is to classify into two classes the time series like these shown in the figure.
The figure shows one class on the left sub-figure and second one on the right. The series are shown in pairs ...
0
votes
2answers
44 views
Should I use U-net to label keys in a keyboard image?
This is a 600*800 image.
Which algorithm/model should I use to get an image like the one below, in which each key is detected and labeled by a rectangle?
I guess this is some kind of a segmentation ...
1
vote
1answer
63 views
Which approach should I use to classify points above and below a sine function $y(x) = A + B \sin(Cx)$?
In a linear regression problem, a line can divide a data set into two categories. So, basically, points above the line belong to category 1, and points below the ...
1
vote
0answers
59 views
Setting up a deep learning architecture for multi-dimensional data
The input data is thousands, millions of 4x1000 matrices. Each row consists of 3 small natural numbers (1000 combinations) and a corresponding real number between 0 and 1.
The output is a 1x1000 ...
1
vote
1answer
48 views
Is it possible to make a neural network to solve this “reaction time test”?
I'm thinking about writing an essay on the comparison between the human nervous system (reaction time) and a neural network that does the same reaction time test. I am very new in this area, so I was ...
1
vote
1answer
87 views
Is there a graph neural network algorithm that can deal with a different number of input and output nodes?
I am new to graph neural networks and their applications. I have an input graph $G = \{V, E\}$ and an output graph $G' = \{V', E'\}$ where the number of nodes $V$ and $V'$ are different. I am trying ...
1
vote
0answers
50 views
Object detection approaches without anchors and NMS
The Context
From all of the problems I have worked with in computer vision, the most challenging one is the object detection. This is not because the problem itself is complex to understand or bad ...
2
votes
1answer
1k views
How can I detect thin objects (like pens and pencils) without a bounding box but only 2 endpoints and the orientation?
I am looking to detect thin objects, like pens, pencils, and surgical instruments. The bounding box is not important, but I am looking to see if I can train a model to detect both the object as well ...
