Questions tagged [research]

For questions related to in-depth study or academic research. Do NOT use this tag when you are trying to find something out.

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How much research, approximately, is done in ANNs?

Does someone know where can I find information about how much research, nowadays, is done in ANNs? I've checked in this document Redes Neuronales: Conceptos básicos y aplicaciones, Universidad ...
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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 ...
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What is the best way to stay up to date with state of the art machine learning? [duplicate]

Let's say I want to read 1-3 papers a week (irregardless of a specific sub field). How can I continously find the best papers?
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Determining the value of error threshold in summarization of differences in multidimensional aggregates

I have been implementing an OLAP related journal "iDiff : Informative summarization of differences in multidimensional aggregates". In this paper, The author have proposed a methodology ...
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27 views

PhD theses in OpenCog

In this interview with Lex Fridman and Ben Goertzel, at 2:23:48, Lex asks about possibilities for young people in the domain of AGI research. Ben Goertzel then answers that there are various ...
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1answer
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In the field of Deep Learning research, what considerations do researchers take into account when inventing new neural network models?

I am not a researcher, but I am curious to know what considerations are relevant to take into account during research for the invention of a new neural network model, and what relevant knowledge ...
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1answer
60 views

On what basis is MATLAB “inflexible” to perform ML/AI research on it?

During a course review, I have provided my opinion on the course overall. I stated that MATLAB is also a great environment to program and do research for ML/AI, but my professor seemed to have taken ...
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7 views

Split a city into a set of candidate locations (cells) via a clustering algorithm (DBSCAN or OPTICS)

The authors of the following paper predict the market attraction for restaurants based on user reviews for different locations to select an ideal location. To do so they have split the city into a set ...
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Did the Hutter Prize help research in artificial intelligence in any way?

Wikipedia states: The Hutter Prize is a cash prize funded by Marcus Hutter which rewards data compression improvements on a specific 1 GB English text file. The goal of the Hutter Prize is to ...
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1answer
55 views

Is there a document with a list of conjectures or research problems regarding reinforcement learning (like the Millennium Prize Problems)?

Is there a document with a list of conjectures or research problems regarding reinforcement learning like the Millennium Prize Problems?
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Is the framework provided by this paper for checking the constraints of AI systems really new?

The authors of this paper present a framework for checking the constraints of AI systems using formal argumentative logic between 2 agents: an interrogating agent and a suspect agent. The ...
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What is the reverse of passing a Turing test by a human pretending to be a robot that can't be identified?

A Turing Test is a method of inquiry for determining whether or not a computer is capable of thinking like a human being. In an ideal Turing test, it would be clear to differentiate between a real ...
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Are there any active areas of research in machine learning that do not involve neural networks at all?

So far, I have not been able to find many papers that do not involve neural networks, so I was hoping I can gain some insight here. Any references would be greatly appreciated.
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ML method for detecting which individuals are best predicted by the features

Broad question to help in finding an appropriate method. So I have a given feature set of (DNA/genetic) predictors and a group of individuals which are either cases or controls for diseaseX. While I ...
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1answer
67 views

Can TensorFlow, PyTorch, and other mainstream ML frameworks be used for research-grade work in AI?

Many authors of research papers in AI (e.g. arXiv) write their neural networks from the ground-up, using low-level languages like C++ to implement their theories. Can existing open source frameworks ...
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1answer
113 views

Research into social behavior in Prisoner's Dilemma

I've been working on research into reproducing social behavior using multi-agent reinforcement learning. My focus has been on a GridWorld-style game, but I was thinking that maybe a simpler Prisoner's ...
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Papers on using symbolic methods as constraint on neural network?

Given a set of constraints on the input data, I am looking for papers that discuss using symbolic methods (decision trees, rule based, etc.) as a separate source of certainty in a classification task. ...
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1answer
28 views

What is the process of inventing deep neural network models? How researchers deal with long training times?

After reading this topic on GitHub how long time it takes to train YOLOV3 on coco dataset I was wondering how researchers deal with long training times while inventing new architectures. I imagine ...
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Can any area of math come into play in Machine Learning Research?

As I read online following areas in mathematics comes into play in ML research Linear Algebra Calculus Differential Equations Probability Statistics Discrete Mathematics Optimization Analytic ...
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1answer
119 views

How do AI researchers imagine higher dimensions?

We can visualize single, two, and three dimensions using websites or imagination. In the context of AI and, in particular, machine learning, AI researchers often have to deal with multi-dimensional ...
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1answer
252 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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76 views

How differentiable programming and programming language supporting it will potentially help the development towards AGI?

After the state of the art Deep Learning techniques/algorithms being implemented in low-level languages like Objective-C, C++, etc to high-level languages like Python, JS, etc. and with the help of ...
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1answer
51 views

Research paths/areas for improving the performance of CNNs when faced with limited data

I've been reading through the research literature for image processing, computer vision, and convolutional neural networks. For image classification and object recognition, I know that convolutional ...
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1answer
66 views

As an AI researcher, what subjects do you find yourself referring to most often? [closed]

This is a bit of a weird question. I am hoping to create an online reference since I have some downtime. I know some about statistics but very little about computer science. As a result, the ...
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1answer
78 views

What are the mathematical prerequisites needed to understand research papers on neural networks? [closed]

I know we have developed some mathematical tools to understand deep neural networks, gradient descent for optimization, and basic calculus. Recently, I encountered arxiv paper that describes higher ...
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Is it a good idea to train a neural network to classify images without base-hypothesis?

I'm a relative beginner in deep-learning (understand by that, I'm doing my first kaggle competition right now, and I have loads to learn still) and I was just wondering something. Let's say you have ...
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149 views

Ways to keep up with the latest developments in Machine Learning and AI?

With over 100 papers published in the area of artificial intelligence, machine learning and their subfields every day (source), accounting for ~3% of all publications world wide per year (source) and ...
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4answers
207 views

How can I read any AI paper?

I have studied linear algebra, probability, and calculus twice. But I don't understand how can I reach the level that I can read any AI paper and understand mathematical notation in it. What is your ...
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129 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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1answer
45 views

What are the real applications of hierarchical temporal memory?

What are the real applications of hierarchical temporal memory (HTM) in machine learning (ML) these days?
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1answer
101 views

Are there any conferences dedicated to artificial general intelligence?

Similarly to What are the scientific journals dedicated to artificial general intelligence?, are there any conferences dedicated to artificial general intelligence?
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1answer
318 views

How does publishing in the deep learning world work, with respect to journals and arXiv?

Let's say I implemented a new deep learning model that pushed some SOTA a little bit further, and I wrote a new paper about for publication. How does it work now? I pictured three options: Submit it ...
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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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3answers
4k views

Why do most deep learning papers not include an implementation?

I'm a novice researcher, and as I started to read papers in the area of deep learning I noticed that the implementation is normally not added and is needed to be searched elsewhere, and my question is ...
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41 views

What are the procedures to get RL paper results? [closed]

I finished working on a new algorithm in Reinforcement Learning, I need to compare it to some well-known algorithms. That's why I need to know the step-by-step procedures that RL researchers usually ...
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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
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Has there been any work done on AI-driven operant conditioning?

For example, a RL algorithm that gains points when a rat presses a lever and loses points when it dispenses a pellet, water, treat, and/or sugar water. After a few days of controlling the rewards ...
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2answers
137 views

What are the scientific journals dedicated to artificial general intelligence?

Apart from Journal of Artificial General Intelligence (a peer-reviewed open-access academic journal, owned by the Artificial General Intelligence Society (AGIS)), are there any other journals (or ...
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1answer
37 views

Is the paper “Reducing the Dimensionality of Data with Neural Networks” by Hinton relevant?

Is the paper "Reducing the Dimensionality of Data with Neural Networks" by G. Hinton and R. Salakhutdinov relevant? It seems that the deep learning textbook by Goodfellow, Bengio & Courville (...
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What challenges are there in cross-lingual entity linking?

I am reading the paper entitled Improving Candidate Generation for Low resource Cross-Lingual Entity Linking. Cross-lingual entity linking (XEL) is the task of finding referents in a target language ...
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48 views

Where can I get exercises and problems to implement machine learning models and algorithms?

I'm an intermediate machine learning student and want to get more detailed and specific practical intuition about artificial intelligence. I have made a couple of searches over the well-observed ...
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1answer
53 views

What AI conferences in Europe should I consider submitting papers to explaining the ongoing work on RefPerSys?

https://afia.asso.fr/journee-hommage-j-pitrat/ is a seminar on March 6th, 2020, in Paris (France, European Union), in honor of the late Jacques Pitrat, who advocated during all his professional life a ...
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1answer
43 views

Have GANs been used to solve regression problems?

I've noticed that in the last 2 years GANs have become really popular. I know that initially they have been proposed for image classification but I was curious if any of you are aware of any papers ...
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1answer
170 views

Is there a reason to use TensorFlow over PyTorch for research purposes?

I've been using PyTorch to do research for a while and it seems to be quite easy to implement new things with. Also, it is easy to learn and I didn't have any problem with following other researchers ...
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1answer
148 views

Which AGI systems have already been implemented and tested?

I wish to compile a (somewhat) comprehensive list of AGI systems that have actually been created and tested (to whatever degrees of success) instead of those that simply advertise they are going to '...
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1answer
81 views

Are most things generally discovered because they work empirically and later justified mathematically, or vice-versa?

In the original GloVe paper, the authors discuss group theory when coming up with equation (4). Is it possible that the authors came up with this model, figured out it was good, and then later found ...
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32 views

References on generalization theory and mathematical abstraction of ML concepts

I'd like to learn about generalization theory for machine learning algorithms. I'm looking for books and other references (in case books aren't available) that provide a gentle introduction to the ...
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1answer
320 views

What are the state-of-the-art results on the generalization ability of deep learning methods?

I've read a few classic papers on different architectures of deep CNNs used to solve varied image-related problems. I'm aware there's some paradox in how deep networks generalize well despite ...
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30 views

Is there a detailed description or implementation of an end-to-end speech recognition system?

I am currently trying to implement an end-to-end speech recognition system from scratch, that is, without using any of the existing frameworks (like TensorFlow, Keras, etc.). I am building my own ...
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46 views

Is there data available about successful neural network architectures?

I am curious to if there is data available for MLP architectures in use today, their initial architecture, the steps that were taken to improve the architecture to an acceptable state and what the ...