Questions tagged [academia]
For questions related to the academic aspects of AI, and the academic fields involving AI.
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Modern graduate-level machine learning books with focus on generative models
I'm looking for a modern machine learning book with graduate-level treatment of more recent topics such as diffusion and generative models, transformers etc.
I have a hard copy of Deep Learning by ...
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Why would an AI researcher publish their breakthrough models solely on arxiv?
My question is in general why would an AI researcher choose to publish solely on arxiv, and what are the downsides and upsides?
I understand on the one hand arxiv allows for rapid release of results. ...
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How do Deep Momentum Networks work?
Here is a paper about Deep Momentum Networks: https://arxiv.org/pdf/1904.04912.pdf
From what I understand, they are a neural network that's used for stock trading, that uses the Sharpe Ratio as a loss ...
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Is there a literature on the time complexity of Neural Networks?
There exist various blog posts describing the time complexity of Fully Connected Neural Networks (1, 2, 3, 4); Convolutional Neural Networks (CNN) (5) and of Long Short-Term Memory (LSTM) networks (6)....
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Usability of power series in AI analysis
In mathematics, power series is given by
$$f(x) = \sum\limits_{n=0}^{\infty} c_n (x-a)^n$$
where $c_n , a \in \mathbb{R}$
Although most of the courses in academics cover moment generating functions in ...
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Why should one focus on spectral operations as a computer vision researcher?
While reading about various types of mathematical operations on tensors, I encountered spectral operations for the first time.
The description is as follows (p. 53 of this book)
Spectral ops - ...
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How should I read a deep learning paper?
I have a background in mathematics and I am accustomed to reading papers with lemma and proofs. When I see a deep learning paper, they seem to be of practical nature.
How can I improve my reading and ...
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Is there a venue to publish negative results in AI/ML domain?
Negative results occur frequently in AI/ML research (and perhaps in other domains too). Most of the time, these results are not published. This is mostly because your typical AI/ML conference doesn't ...
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Why many deep learning research papers continue to be in arXiv?
There are plenty of research papers, especially in deep learning are present only in arXiv with large number of citations. I cannot find them in journals as peer-reviewed ones.
For example if I search ...
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How much C++ is needed for research in machine learning and artificial intelligence?
I am currently doing a master's in applied mathematics, and I recently got interested in machine learning and artificial intelligence, and I am thinking of going for a Ph.D. in this area. I have a ...
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Which topics about/in OpenCog could be researched in a Ph.D. thesis
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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What is Federated Learning?
How would you explain Federated Learning in simple layman terms for a non-STEM person?
What are the main ideas behind Federated Learning?
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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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What is Cognitive Intelligence?
Similarly to the question, What is artificial intelligence?
Cognitive Intelligence, as well as being a part of Artificial Intelligence, is an area that mainly covers the technology and tools that ...
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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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What is Reinforcement Learning?
What is the cleanest, easiest way to explain someone who is a non-STEM work colleague the concept of Reinforcement Learning? What are the main ideas behind Reinforcement Learning?
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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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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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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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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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What are the pros and cons of studying machine learning before deep learning? [duplicate]
I'm a biotech student and I'm currently working on single-particle tracking. For my work, I need to use aspects of deep learning (CNN, RNN and object segmentation) but I'm not familiar with these ...
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How to describe an keras Model in a scientific report
how would you describe a machine learning model in a scientific report? It should be detailed but I just listed the hyperparameters... Have you got more important properties?
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Which movies have the most realistic artificial intelligence?
I want to give some examples of AI via movies to my students. There are many movies that include AI, whether being the main character or extras.
Which movies have the most realistic (the most possible ...
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When we are working on an AI project, does the context (academia, industry or competition) make the process different?
When we are working on an AI project, does the domain/context (academia, industry, or competition) make the process different?
For example, I see in the competition most participants even winners use ...
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What are some simple open problems in multi-agent RL that would be suited for a bachelor's thesis?
I've decided to make my bachelor thesis in RL. I am currently struggling to find a good problem. I am interested in multi-agent RL with the dilemma between selfishness and cooperation.
I only have 2 ...
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What are some possible projects that can be finished in a 4-week time-frame?
I am taking AI this semester and we have a semester project that will last 4 weeks. We can choose just about anything.
So, what are some possible semester projects that can be finished in a 4-week ...
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Is it necessary to know the details behind the AI algorithms and models?
I am interested in the field of artificial intelligence. I began by learning the various machine learning algorithms. The maths behind some were quite hard. For example, back-propagation in ...
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How can AI researchers avoid "overfitting" to commonly-used benchmarks as a community?
In fields such as Machine Learning, we typically (somewhat informally) say that we are overfitting if improve our performance on a training set at the cost of reduced performance on a test set / the ...
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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 to some specific ...
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What are some academic AI podcast out there?
I am looking for AI podcasts that are purely academic-oriented that I can use for learning purposes. Thanks for any resource pointers.
The AI podcasts I am aware of are (not sure how many of these ...
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What kind of education is required for researchers in AI?
Suppose my goal is to collaborate and create an advanced AI, for instance, one that resembles a human being and the project would be on the frontier of AI research. What kind of skills would I need?
I ...
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