Questions tagged [state-of-the-art]

For questions related to "state of the art" (SOTA) models in machine learning and, in general, AI.

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What are the state-of-the-art learning algorithms for contextual bandits with stochastic rewards

I am building a solution for an environment with stochastic rewards in an online setting. I am wondering what the state of the art is in this setting. Is it $\epsilon$-greedy (with logistic regression)...
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26 views

What would be the state of the art image captioning deep learning model?

I saw a couple of architectures, like CNN-LSTM, with and without attention model, use of Glove vector, self-critical models, etc. I am overwhelmed looking at different notebooks and architectures, ...
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How and why do state-of-the-art models in medical segmentation differ from general segmentation models?

I am just getting into medical image segmentation and have been able to understand the state-of-the-art architectures, like Double UNet, UNet++, and Multiresunet. What I haven't understood yet: Why ...
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77 views

Why multiplayer, imperfect information, trick-taking card games are hard for AI?

AI reached a super-human level in many complex games such as Chess, Go ,Texas hold’em Poker, Dota2 and StarCarft2. However it still did not reach this level in trick-taking card games. Why there is no ...
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1answer
76 views

What are the state-of-the-art results in OpenAI's gym environments?

What are the state-of-the-art results in OpenAI's gym environments? Is there a link to a paper/article that describes them and how these SOTA results were calculated?
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35 views

Dynamically adapting activation function

I am training a network through reinforcement learning. The policy network learns rotations, but depending on the actual input (state), the output of the network should be restricted to be in certain ...
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1answer
60 views

Are Markov Random Fields and Conditional Random Fields still used in computer vision?

Back before deep learning, there were a lot of different attempts at computer vision. Some involved Conditional Random Fields and Markov Random Fields, which were both computationally difficult and ...
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21 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
46 views

Is it feasible using today's technology to use an AI training algorithm to custom teach a robot to do common household cores?

Like making a bed, washing dishes, taking out the garbage, etc., by training it on the video of specific individuals doing those cores in their own unique environments? I have researched what machine ...
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125 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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Can we give a command to an AI and wait for it to do the job without explicitly telling it how to do it?

I am a computer science student. I learned about programming languages recently, but I don't know much about artificial intelligence. I want to know, why don't we program something in a way that we ...
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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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1answer
100 views

What are modern state-of-the-art solutions in prediction of time-series?

I wanted to ask you about the newest achievements in time series analysis (mostly prediction). What state-of-the-art solutions (as in frameworks, papers, related projects) do you know that can be used ...
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1answer
52 views

What is the current state-of-the-art in unsupervised cross-lingual representation learning?

What is the current state-of-the-art in unsupervised cross-lingual representation learning?
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124 views

Speaker Identification / Recognition for less size audio files

I am working on speaker identification problem using GMM (Gaussian Mixture Model). I have to just identify one user present in the given audio, so for second class noise or silent audio may use or not ...
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1answer
142 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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64 views

What is the current state-of-the-art for inverse reinforcement learning on robotic control tasks?

The question is broad, since I am looking for any kind of insight into the subject. I am currently looking into the possibility for useing inverse reinforcement learning for learning robotic ...
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403 views

What are the domains where SVMs are still state-of-the-art?

It seems that deep neural networks and other neural network based models are dominating many current areas like computer vision, object classification, reinforcement learning, etc. Are there domains ...
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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 ...
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968 views

What is the current research in artificial intelligence in the field of data compression?

What is the current research in artificial intelligence and machine learning in the field of data compression? I have done my research on the PAQ series of compressors, some of which use neural ...
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2answers
1k views

What is the current state of AGI development?

Could you please provide some insight into the current stage of developments in AGI area? Are there any projects that had breakthroughs recently? Maybe some news source to follow on this topic?
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2answers
864 views

How good is AI in math?

Currently, AI is advancing fast in deep learning: Entire human chess knowledge learned and surpassed by DeepMind's AlphaZero in four hours. As a layman, I'm taking this as a quite powerful searching ...
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1answer
108 views

What research has been done in the domain of “general game playing”?

I have come across this domain via this Wikipedia article: General game playing So, where are we when it comes to general game playing AI? (The wiki article doesn't mention the recent advances and the ...
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2k views

What is the most sophisticated AI ever made?

What is the most advanced AI software/system that humans have made to date, and what does it do?