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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16
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3answers
5k views

Where can I find the proof of the universal approximation theorem?

The Wikipedia article for the universal approximation theorem cites a version of the universal approximation theorem for Lebesgue-measurable functions from this conference paper. However, the paper ...
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3answers
1k views

Which explainable artificial intelligence techniques are there?

Explainable artificial intelligence (XAI) is concerned with the development of techniques that can enhance the interpretability, accountability, and transparency of artificial intelligence and, in ...
4
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2answers
171 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-...
3
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1answer
582 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 ...
17
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3answers
1k views

What are the mathematical prerequisites for an AI researcher?

What are the mathematical prerequisites for understanding the core part of various algorithms involved in artificial intelligence and developing one's own algorithms? Please, refer some specific books....
11
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1answer
305 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 ...
53
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11answers
10k views

What are some well-known problems where neural networks don't do very well?

Background: It's well-known that neural networks offer great performance across a large number of tasks, and this is largely a consequence of their universal approximation capabilities. However, in ...
16
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2answers
7k views

Any papers regarding different/inconsistent action space in Reinforcement Learning? [closed]

This question is regarding Reinforcement Learning and different/inconsistent action space for every/some states. What do I mean by different/inconsistent action space? Let say you have an MDP where ...
25
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8answers
4k views

Is there any research on the development of attacks against artificial intelligence systems?

Is there any research on the development of attacks against artificial intelligence systems? For example, is there a way to generate a letter "A", which every human being in this world can recognize ...
2
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1answer
228 views

What are some online courses on artificial general intelligence?

Although no artificial general intelligence (AGI) has yet been created, probably, there are already some courses on the topic. So, what are some online (preferably free) courses on AGI?
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3answers
2k views

How can you represent the state and action spaces for a card game in the case of a variable number of cards and actions?

I know how a machine can learn to play Atari games (Breakout): Playing Atari with Reinforcement Learning. With the same technique, it is even possible to play FPS games (Doom): Playing FPS Games with ...
5
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3answers
256 views

How is neural architecture search performed?

I have come across something that IBM offers called neural Architecture search. You feed it a data set and it outputs an initial neural Architecture that you can train. How is neural architecture ...
7
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2answers
2k views

How to write a C decompiler using AI?

I would like to learn more about whether it is possible and how to write a program that decompiles executable binary (an object file) to the C source. I'm not asking exactly 'how', but rather how this ...
2
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2answers
83 views

AI with conflicting objectives?

A recent question on AI and acting recalled me to the idea that in drama, there are not only conflicting motives between agents (characters), but a character may themselves have objectives that are in ...
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2answers
341 views

How can we estimate the transition model and reward function?

In reinforcement learning (RL), there are model-based and model-free algorithms. In short, model-based algorithms use a transition model (e.g. a probability distribution) and the reward function, even ...
0
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1answer
100 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, ...
8
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2answers
1k views

What are some alternatives to the book “Artificial Intelligence: A Modern Approach”?

There are two textbooks that I most love and am most afraid of in the world: Introduction to Algorithms by Cormen et al. and Artificial Intelligence: A Modern Approach by Norvig et al. I have started ...
4
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3answers
865 views

Which functions can't neural networks learn efficiently?

There are a lot of papers that show that neural networks can approximate a wide variety of functions. However, I can't find papers that show the limitations of NNs. What are the limitations of ...
13
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3answers
8k views

Where can I find the original paper that introduced RNNs?

I was able to find the original paper on LSTM, but I was not able to find the paper that introduced "vanilla" RNNs. Where can I find it?
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1answer
10k views

Are the dialogs at Sophia's (the robot) appearings scripted?

I talk about the robot from: Hanson Robotics, which was granted the right to citizenship from Saudi Arabia. I have found the following articles: Your new friend is a humanoid robot Source: ...
7
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1answer
84 views

Medical diagnosis systems based on artificial neural networks

Are there any medical diagnosis systems that are already used somewhere that are based on artificial neural networks?
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2answers
2k views

Is the expert system still in use today?

In my country, the Expert System class is mandatory, if you want to take the AI specialization in most universities. In class, I learned how to make a rule-based system, forward chaining, backward ...
3
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2answers
237 views

What are some books or state of the art papers about the development of a strong-AI?

I am looking for books or to state of the art papers about current the development trends for a strong-AI. Please, do not include opinions about the books, just refer the book with a brief ...
3
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2answers
492 views

Apart from the state and state-action value functions, what are other examples of value functions used in RL?

In reinforcement learning, we often define two functions, the state-value function $$V^\pi(s) = \mathbb{E}_{\pi} \left[\sum_{k=0}^{\infty} \gamma^{k}R_{t+k+1} \Bigg| S_t=s \right]$$ and the state-...
5
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3answers
320 views

Does an AI exist that can write software based on a formal specification?

Does an AI exist that can automatically write software based on a formal specification of the software?
4
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1answer
356 views

What kind of algorithm is used by StackGAN to generate realistic images from text?

What kind of algorithm is used by StackGAN to generate realistic images from text? How does StackGAN work?
4
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0answers
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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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?
7
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3answers
930 views

Is there any research on the application of AI for drug design?

Is there any research on the application of AI for drug design? For example, you could train a deep learning model about current compounds, substances, structures, and their products and chemical ...
4
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1answer
313 views

Is there a continuous conditional variational auto-encoder?

The Conditional Variational Autoencoder (CVAE), introduced in the paper Learning Structured Output Representation using Deep Conditional Generative Models (2015), is an extension of Variational ...
3
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1answer
280 views

In what ways can connectionist A.I. be integrated with GOFAI?

In what ways can connectionist artificial intelligence (neural networks) be integrated with Good Old-Fashioned A.I. (GOFAI)? For instance, how could deep neural networks be integrated with knowledge ...
2
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1answer
1k views

What are some good alternatives to U-Net for biomedical image segmentation?

Soon I will be working on biomedical image segmentation (microscopy images). There will be a small amount of data (a few dozens at best). Is there a neural network, that can compete with U-Net, in ...
2
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1answer
778 views

Are there any machine learning techniques to detect coding standard violations?

Are there any machine learning techniques (such as deep learning or evolutionary algorithms) to detect coding standard violations? Which one would be more suitable? I don't have any specific ...
2
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1answer
63 views

Is there a taxonomy of adversarial attacks?

I am a medical doctor working on methodological aspects of health-oriented ML. Reproducibility, replicability, generalisability are critical in this area. Among many questions, some are raised by ...
2
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1answer
768 views

Which neural network architectures are there that perform 3D convolutions?

I am trying to do 3d image deconvolution using convolution neural network. But I cannot find many famous 3d CNNs. Can anyone point out some for me? Background: I am using PyTorch, but any language ...