Newest 'model-request' Questions

1

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0answers

9 views

What is the best way to train a text-based regressor model?

I want to build a deep learning model that can predict a continuous value (LogP in this case) given text inputs (SMILES notations in this case), the dataset is as illustrated below. SMILES notations ...

asked yesterday

Amine Chadi

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0answers

13 views

Which AI model to analyse and organize a random document?

I'm new to ML and AI. I am working on a machine learning project where I create a model that is able to analyze and organize a random document. Now I've been doing a lot of research in this field, but ...

machine-learning models supervised-learning algorithm-request model-request

asked Oct 19 at 20:30

Leon M

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0answers

17 views

What is the fastest multi-human pose estimation model?

I am trying to find an accurate and fast multi-person human pose estimation that I can train on with custom data. I have been searching for a little while and I may not be up-to-date on the newest ...

computer-vision model-request pose-estimation

asked Sep 29 at 20:58

Kevin

1232 bronze badges

2

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1answer

27 views

What type of neural network do you need if you want to detect an action or dynamic pattern instead of a static pattern?

Let's say that you want to detect if a man is running, walking, or dancing instead of just detecting a man still. What type of neural networks will you use for this purpose?

neural-networks long-short-term-memory model-request action-recognition

asked Aug 29 at 15:05

Sirius Fuenmayor

232 bronze badges

2

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0answers

50 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 ...

reference-request agi research algorithm-request model-request

asked Jul 14 at 10:47

Makintosz

9975 silver badges16 bronze badges

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23 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 ...

deep-learning convolutional-neural-networks reference-request structured-data model-request

asked Jun 13 at 14:13

thereiter

111 bronze badge

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0answers

23 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 ...

reference-request graph-neural-networks algorithm-request embeddings model-request

asked May 24 at 22:54

ali naman

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 ...

audio-processing model-request speech-synthesis

asked May 19 at 10:09

NeverWasMyRealName

111 bronze badge

0

votes

1answer

65 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, ...

neural-networks deep-learning architecture model-request

asked May 4 at 19:06

user3489173

334 bronze badges

1

vote

1answer

48 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 ...

classification long-short-term-memory time-series algorithm-request model-request

asked Apr 28 at 12:34

bbasaran

334 bronze badges

1

vote

1answer

31 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, ...

deep-learning convolutional-neural-networks state-of-the-art text-generation model-request

asked Apr 8 at 18:41

Joe

132 bronze badges

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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 ...

recurrent-neural-networks time-series binary-classification algorithm-request model-request

asked Mar 25 at 11:49

Marek

92 bronze badges

0

votes

2answers

49 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 ...

computer-vision object-detection algorithm-request model-request template-matching

asked Mar 25 at 7:03

JJJohn

1917 bronze badges

1

vote

1answer

64 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 ...

neural-networks machine-learning binary-classification c++ model-request

asked Mar 6 at 7:36

Quadro

1113 bronze badges

1

vote

0answers

60 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 ...

deep-learning convolutional-neural-networks model-request

asked Feb 26 at 14:09

deviant_sci

112 bronze badges

1

vote

1answer

49 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 ...

neural-networks classification model-request

asked Feb 17 at 17:04

Rutvik Karupothula

353 bronze badges

1

vote

1answer

98 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 ...

neural-networks reference-request graph-neural-networks model-request algorithm-request

asked Feb 11 at 19:41

shunyo

1333 bronze badges

1

vote

0answers

59 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 ...

computer-vision object-detection model-request

asked Jan 28 at 8:23

JVGD

8583 silver badges9 bronze badges

3

votes

2answers

1k views

Which model should I use to find (only) the object location (in terms of coordinates) in an image?

I am generating images that consist of points, where the object's location is where the most overlap of points occurs. In this example, the object location is $(25, 51)$. I am trying to train a model ...

neural-networks machine-learning computer-vision object-recognition model-request

asked Feb 18 '19 at 1:02

scooter

313 bronze badges

2

votes

1answer

2k 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 ...

convolutional-neural-networks computer-vision object-detection yolo model-request

asked May 25 '18 at 3:00

iOScoder

214 bronze badges

2

votes

3answers

179 views

Is there a neural network in the literature that predicts the next game state based on the current state and the action?

I am trying to find literature on a network architecture that takes the following as in input: Action (like 'Up', 'Down', etc) Image of the current state and outputs: Image of next state I already ...

neural-networks reinforcement-learning reference-request game-ai model-request

asked Dec 17 '17 at 23:00

Sandeep Silwal

1212 bronze badges

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Questions tagged [model-request]

What is the best way to train a text-based regressor model?

Which AI model to analyse and organize a random document?

What is the fastest multi-human pose estimation model?

What type of neural network do you need if you want to detect an action or dynamic pattern instead of a static pattern?

What algorithms are used in Artificial General Intelligence research?

What is the best way to train neural network with imbalanced mixed data (images and structured data)?

Which well known node embedding algorithms to use for weighted graphs?

Model for direct audio-to-audio speech re-encoding

What type of ANN architecture to choose?

What kind of neural network should I build to classify each instance of a time series sequence?

What would be the state of the art image captioning deep learning model?

Can RNNs be used to classify these time series into two classes?

Should I use U-net to label keys in a keyboard image?

Which approach should I use to classify points above and below a sine function $y(x) = A + B \sin(Cx)$?

Setting up a deep learning architecture for multi-dimensional data

Is it possible to make a neural network to solve this "reaction time test"?

Is there a graph neural network algorithm that can deal with a different number of input and output nodes?

Object detection approaches without anchors and NMS

Which model should I use to find (only) the object location (in terms of coordinates) in an image?

How can I detect thin objects (like pens and pencils) without a bounding box but only 2 endpoints and the orientation?

Is there a neural network in the literature that predicts the next game state based on the current state and the action?

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Questions tagged [model-request]

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