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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757 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
83 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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0answers
35 views

Any AI software to help finding funding for AI projects?

Do you know of some paper mentioning a running AI system (preferably open source) that helps finding funding for AI software development? Obviously, be funded for working on AI is not easy, and could ...
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2answers
110 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
245 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
115 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
29 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
36 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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0answers
15 views

Are there any deep learning tools so that can be used to estimate long-tail distributions?

Are there any deep learning tools so that can be used to estimate long-tail distributions? update: my context is there are is there is a long-tail distribution (probability distribution) in my data of ...
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2answers
179 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
50 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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47 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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82 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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21 views

Looking for an Approach method for News maker

I have some databases with information about exports and imports of a country, what are they importing, the times that an importation was made, the country from and target, everything related to ...
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0answers
28 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
23 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
126 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
186 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
54 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
96 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
38 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
629 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
150 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
103 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
72 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
40 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
394 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
66 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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2answers
76 views

Where to publish replications of machine learning papers? [closed]

If I replicated the results of a machine learning paper, is there a website that I can publish my code to that collects informal replication attempts? https://paperswithcode.com/ allows anyone to ...
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0answers
32 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
52 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
46 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
44 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
140 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 against diseases, like cancer. However in 2020 with COVID-19 be one of the most ...
2
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1answer
44 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
73 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.
6
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3answers
154 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
22 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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2answers
61 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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0answers
26 views

How well can NLP techniques recognize connotations in natural languages?

What is the state of the art with respect to recognizing connotations in natural languages? For instance: Trump is a better president than Obama. [Praising] Trump is the worst president ...
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0answers
25 views

Are there any good research papers on image identification with limited data?

I'm a newbie in machine learning and I am interested in neural networks. Are there any good research papers on image identification with limited data?
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1answer
49 views

Is there a good and easy paper to code policy gradient algorithms (REINFORCE) from scratch?

I am interested in learning about policy gradient algorithms and REINFORCE. Can you suggest a good and easy paper that I can use to code them from scratch?
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1answer
632 views

What are some resources on computational learning theory?

Pretty soon I will be finishing up Understanding Machine Learning: From Theory to Algorithms by Shai Ben-David and Shai Shalev-Shwartz. I absolutely love the subject and want to learn more, the only ...
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2answers
685 views

What is the proof that policy evaluation converges to the optimal solution?

Although I know how the algorithm of iterative policy evaluation using dynamic programming works, I am having a hard time realizing how it actually converges. It appeals to intuition that, with each ...
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0answers
93 views

Given the coordinates of an object in an image, is it possible to predict the coordinates of the same object in a different perspective?

I am trying to figure out how to approach this. Given training data of images and the pixel coordinates of the centre of an object in that image, would it be possible to predict the pixel coordinates ...
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1answer
42 views

Which simulation platform is used by DeepMind (and others) to handle inverse kinematics musculoskeletal?

Which simulation platform is used by DeepMind and others to handle inverse kinematics musculoskeletal simulation, etc., for reinforcement learning simulations and agents? I thought they use Unity or ...

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