Questions tagged [reference-request]

Use when requesting examples of research or research papers, books, articles, blog posts or courses. For example, "Is there any published research about X?" or "What are good examples of Y in research?".

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231 views

Is it possible to have a variable-length latent vector in an autoencoder?

I'm trying to have a simple autoencoder but with variable latent length (the network can produce variable latent lengths with respect to the complexity of the input), but I've not seen any related ...
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1answer
63 views

What is the best algorithm to solve the regression problem of predicting the number of languages a Wikipedia article can be translated to?

I'm doing a student project where I construct a model predicting the number of languages that a given Wikipedia article is translated into (for example, the article TOYOTA is translated into 93 ...
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27 views

Are there any examples of state-of-the-art NLP applications that are still n-gram based and use Naive Bayes?

As far as I can tell, most NLP tasks today use word embeddings and recurrent networks or transformers. Are there any examples of state-of-the-art NLP applications that are still n-gram based and use ...
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1answer
98 views

How many types of variational auto-encoders are there?

I have been studying about auto-encoders and variational auto-encoders. I would like to know how many variants of VAEs are there today. If there are many variants, can they be used for feature ...
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0answers
25 views

Literature on computational modelling involving neuronal ensemblies

Straying from the current trends in deep learning, there is an, arguably, interesting idea of neuronal ensembles possibly providing an alternative to the current "layered feature detectors" ...
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1answer
270 views

How much is currently invested in artificial general intelligence research and development?

How much is currently invested in artificial general intelligence research and development worldwide? Feel free to add company or VC names, but this is not the point. The point is to get an idea of ...
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0answers
65 views

Are there transformer-based architectures that can produce fixed-length vector encodings given arbitrary-length text documents?

BERT encodes a piece of text such that each token (usually words) in the input text map to a vector in the encoding of the text. However, this makes the length of the encoding vary as a function of ...
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2answers
2k views

What are other examples of theoretical machine learning books?

I am looking for a book about machine learning that would suit my physics background. I am more or less familiar with classical and complex analysis, theory of probability, сcalculus of variations, ...
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1answer
112 views

How could facts be distinguished from opinions?

As a software engineer, I am searching for an existing solution or, if none exists, willing to create one that will be able to process texts (e.g. news from online media) to extract/paraphrase dry ...
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1answer
48 views

Are there neural networks with 3-dimensional topologies?

The topologies (or architectures) of the neural networks that I have seen so far are only 2-dimensional. So, are there neural networks whose topology is 3-dimensional (i.e. they have a width, height, ...
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2answers
114 views

What are examples of problems where neural networks have achieved human-level or higher performance?

What are examples of problems where neural networks have been used and have achieved human-level or higher performance? Each answer can contain one or more examples. Please, provide links to research ...
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5answers
360 views

Examples of single player games that use modern ML techniques in the AI?

Are there any examples of single player games that use modern ML technique in its games? By this I mean AI that plays with or against the human player, and not just play the game by itself (like Atari)...
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2answers
125 views

Have agents that "dream" been explored in Reinforcement Learning?

I was reading this article about the question "Why do we dream?" in which the author discusses dreams as a form of rehearsal for future threats, and presents it as an evolutive advantage. My ...
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1answer
34 views

Compressing text using AI by sending only prediction rank of next word

Is there any effort made to compress text (and maybe other media) using prediction of next word and thus sending only the order number of the word/token which will be predicted on the client side i.e ...
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0answers
55 views

Combine DQN with the Average Reward setting

I have to deal with a non-episodic task, where there is addittionally a continuous state space and more specifically in each time step there is always a new state that has never been seen before. I ...
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2answers
255 views

What are some (deep) reinforcement learning books for beginners? [duplicate]

What are some books on reinforcement learning (RL) and deep RL for beginners? I'm looking for something as friendly as the head first series, that breaks down every single thing.
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1answer
64 views

Are there fundamental learning theories for developing an AI that imitates human behavior?

Most, if not all, AI systems do not imitate humans. Some of them out-perform humans. Examples include using AI to play a game, classification problems, auto-driving, and goal-oriented chatbots. Those ...
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1answer
57 views

Recommendations or resources for neural network/deep learning for time series application?

I know there are quite a few good deep learning books out there, but most explain neural networks and deep learning via application on images. If there are examples/code, they are often done on the ...
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0answers
48 views

Reference for Transfer Learning via Final Layers of a Neural Network

Problem (Sketch): I'm interested in a particular formulation of the transfer-learning problem, which, given a trained network $f$ seeks to learn a new network $g$ whose last few layers behave very ...
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0answers
84 views

Forcing a neural network to be close to a previous model - Regularization through given model

I'm wondering, has anyone seen any paper where one trains a network but biases it to produce similar outputs to a given model (such as one given from expert opinion or it being a previously trained ...
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0answers
48 views

What is the proof that the variance of the gradient estimate in Actor-Critic is smaller than in REINFORCE?

The intuition provided when introducing actor-critic algorithms is that the variance of its gradient estimates is smaller than in REINFORCE as, e.g., discussed here. This intuition makes sense for the ...
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0answers
28 views

How is the performance of a CNN trained with monochrome images on image recognition tasks degraded?

For CNN image recognition tasks, like object recognition/face recognition/object segmentation/posture recognition, are there experiment results about how much will the performance be degraded with ...
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0answers
31 views

Are there any existing ontologies that model engineering data?

Are there any existing ontologies available for "engineering" data? By "engineering" I mean pertaining to the fields of electrical, mechanical, thermal, etc., engineering.
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0answers
145 views

Creating 4k HDR video from 720p footage

So, my company recently bought a big 4k HDR TV for our reception, where we keep showing some videos that were originally shot/created at 720p resolution. Before this, we had a relatively small HD TV, ...
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2answers
256 views

What introductory books to reinforcement learning do you know, and how do they approach this topic?

Currently, I'm only going through these two books Reinforcement Learning: An Introduction, by Sutton and Barto: RL explained on an engineering level (mathematical, but readable for a non-...
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0answers
56 views

Can reinforcement learning algorithms be applied on problems involving a very large number of possible actions?

There is a question already about applying RL to "large scale problems", where large scale refers to the problem of a relatively small number of actions (that could be from a continous space) ...
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0answers
42 views

Is there a tutorial for beginners on capsule neural networks?

I am interested in capsule neural networks. I have already read the paper Dynamic Routing Between Capsules, but it is a little bit difficult to follow. Is there a tutorial for beginners on capsule ...
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2answers
105 views

Are there any good tutorials about training RL agent from raw pixels using PyTorch?

Is there any good tutorials about training reinforcement learning agent from raw pixels using PyTorch? I don't understand the official PyTorch tutorial. I want to train the agent on the atari ...
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0answers
39 views

What are the applications of hierarchical softmax?

Apart from its use in word embeddings (e.g word2vec algorithm), are there any other applications of hierarchical softmax? If yes, can you please give me some reference papers?
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2answers
708 views

Is there any good reference for double deep Q-learning?

I am new in reinforcement learning, but I already know deep Q-learning and Q-learning. Now, I want to learn about double deep Q-learning. Do you know any good references for double deep Q-learning? ...
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2answers
166 views

Is there any good source for when the pole actually starts all the way at the bottom, in the cartpole problem?

There are a lot of examples of balancing a pole (see image below) using reinforcement learning, but I find that almost all examples start close to the upright position. Is there any good source (or ...
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1answer
131 views

Are there other mathematical frameworks of artificial general intelligence apart from AIXI?

AIXI is a mathematical framework for artificial general intelligence developed by Marcus Hutter since the year 2000. It's based on many concepts, such as reinforcement learning, Bayesian statistics, ...
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1answer
93 views

What are the most common feedforward neural networks?

What are the most common feedforward neural networks? What kind of inputs do they receive? For example, do they receive binary numbers, real numbers, vectors, or matrics? Is there such a taxonomy?
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0answers
27 views

Is there any published research on the information-carrying capacity of the human face?

Is there any published research on the information-carrying capacity of the human face? Here I mean "how much information can be conveyed via facial expressions & micro-expressions". This is a ...
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0answers
43 views

Is there an AI system that, given a patient's symptoms, produces a diagnosis and suggests a treatment?

Is there an AI system (preferably, one that interacts with the human, such as a chatbot like this one) that, given some input (e.g. entered into the system by writing text), such as a person's ...
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2answers
533 views

What are some use cases of few-shot learning?

Besides computer vision and image classification, what other use cases/applications are for few-shot learning?
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1answer
101 views

Which machine learning method can take a matrix as input?

I am pretty new to the machine learning field. I want to use an $n \times m$ matrix as the input of a model, in order to predict a vector $1 \times m$, both of real numbers. Input data are quite clean,...
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0answers
34 views

Is there an online RL algorithm that receives as input a camera frame and produces an action as output?

I want to build a reinforcement learning model, which takes a camera picture as input, that learns online (in terms of machine learning). Based on the position of an object on the camera, I want the ...
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1answer
57 views

Can I do state space quantization using a KMeans-like algorithm instead of range buckets?

Are there any reference papers where it is used a KMeans-like algorithm in state space quantization in Reinforcement Learning instead of range buckets?
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1answer
52 views

What are some conferences for publishing papers on graph convolutional networks?

What are some conferences for publishing papers on graph convolutional networks?
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0answers
46 views

When to do discretization to decrease the state/action space in RL?

When to do discretization to decrease the state/action space in RL? Can you give me some references that such a technique is used?
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2answers
173 views

Is AI already being used in the drug industry to combat the COVID-19?

We all have heard about how beneficial AI can be in health. There are plenty of papers and research about confronting diseases, like cancer. However, in 2020 with COVID-19 be one of the most serious ...
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1answer
53 views

When labelled data is not available, what are some common unsupervised learning algorithms for pattern recognition that can be used?

In pattern recognition systems, when no labeled data is available, what are some common unsupervised learning algorithms for pattern recognition, that can be used?
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0answers
80 views

Is there a good book or paper on word embeddings?

Is there a good and modern book that focuses on word embeddings and their applications? It would also be ok to provide the name of a paper that provides a good overview of word embeddings.
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3answers
163 views

What are some resources with exercises related to neural networks?

I am asking for a book (or any other online resource) where we can solve exercises related to neural networks, similar to the books or online resources dedicated to mathematics where we can solve ...
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0answers
74 views

Is there any application of topology to deep learning?

Is there any application of topology (as in math discipline) to deep learning? If so, what are some examples?
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0answers
137 views

What is the original source of the TD Advantage Actor-Critic algorithm?

What is the original source of the TD Advantage Actor-Critic algorithm? I found this tutorial really helpful for learning the algorithm. However, what is the original source of this algorithm?
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0answers
24 views

Are there any board game appropriate to examine the performance of multiple agents that cooperate both inter-group and intra-group?

I want to find out scenarios that useful to examine the performance of intra-group and inter-group cooperation in MARL. Specifically, I prefer a board game (like sudoku) that is suitable for the ...
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3answers
196 views

What are the most popular and effective approaches to leveraging AI for stock price prediction?

Currently, what are the most popular and effective approaches to leveraging AI for stock price prediction? It seems like there could be several approaches and problem formulations: Supervised ...
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2answers
65 views

What kinds of techniques do autopilots of autonomous cars use?

What kinds of techniques do autopilots of autonomous cars (e.g. the ones of Tesla) use? Do they use reinforcement learning? Which types of neural network architecture do they use?

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