Questions tagged [state-of-the-art]
For questions related to "state of the art" (SOTA) models in machine learning and, in general, AI.
33
questions
3
votes
0
answers
35
views
What is the current state of AI regarding features of Moravec's paradox, such as sensorimotor & perception skills?
Moravec's paradox is the observation in artificial intelligence and robotics that, contrary to traditional assumptions, reasoning requires very little computation, but sensorimotor and perception ...
- 131
0
votes
0
answers
13
views
Today's practicality of Neuro-Fuzzy Systems
I am questioning today's practicality of Neuro-Fuzzy Systems (NFS), which build upon Fuzzy logic, linguistic rules, ANFIS and "standard" reinforcement learning (see this paper for a nice ...
- 143
3
votes
2
answers
77
views
Why business experts should prefer state-of-the-art deep neural networks over simpler models? [closed]
I have encountered this pattern for a long time (5+ years). So many professionals come with an interesting domain-specific problem, and they demand using state-of-the-art deep learning models: take it ...
- 211
2
votes
0
answers
129
views
Today's Practicality of Bayesian Neural Networks
Just having heard lately about BNNs (wow, ANNs and CNNs are clear; now there's a B? What's that? Ahh, Bayesian ;-)) and quickly getting their main idea and focus, that is, weights not being pure ...
- 143
1
vote
1
answer
120
views
Reinforcement learning algorithms for large problems that are not based on a neural network
I have a large control problem with multidimensional continuous inputs (13) and outputs (3). I tried several Reinforcement learning algorithms like Deep-Q-Networks (DQN), Proximal Policy Optimization (...
- 212
2
votes
1
answer
719
views
What are the state-of-the-art AI methods to recognize elements on webpages or the purpose of webpage?
I'm curious to know about the capabilities of AI today in 2022. I know that AI has become pretty good at recognizing things like objects in photos. But what about when it comes to elements in HTML? ...
- 121
2
votes
1
answer
113
views
What is the state of the art in melody generation?
Generative Adversarial Networks can generate realistic photos of people, such as thispersondoesnotexist.com. I wonder whether one can train an artificial intelligence on a batch of plain solo melodies ...
- 27
0
votes
0
answers
161
views
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)...
- 223
1
vote
1
answer
66
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, ...
- 113
2
votes
0
answers
67
views
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 ...
- 555
5
votes
1
answer
625
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 StarCraft2. However it still did not reach this level in trick-taking card games.
Why there is no ...
- 413
7
votes
1
answer
937
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?
- 71
1
vote
0
answers
86
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 ...
- 31
1
vote
1
answer
157
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 ...
- 793
0
votes
0
answers
32
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 ...
- 2,375
1
vote
1
answer
61
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 ...
- 13
2
votes
0
answers
634
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 ...
- 618
1
vote
2
answers
203
views
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 ...
- 11
1
vote
0
answers
38
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 ...
- 238
2
votes
1
answer
187
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 ...
- 1,240
2
votes
1
answer
74
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?
- 1,613
3
votes
0
answers
137
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 ...
- 358
2
votes
1
answer
215
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 '...
- 121
11
votes
4
answers
744
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 ...
- 177
3
votes
2
answers
381
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 ...
- 1,283
8
votes
3
answers
544
views
What are the state-of-the-art approaches for detecting the most important "visual attention" area of an image?
I'm trying to detect the visual attention area in a given image and crop the image into that area. For instance, given an image of any size and a rectangle of say $L \times W$ dimension as an input, I ...
- 973
6
votes
2
answers
1k
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 ...
- 71
6
votes
2
answers
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?
- 337
4
votes
2
answers
1k
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 ...
- 167
2
votes
1
answer
128
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 ...
- 1,371
9
votes
4
answers
2k
views
What is the most sophisticated AI ever made? [closed]
What is the most advanced AI software/system that humans have made to date, and what does it do?
- 101
8
votes
3
answers
4k
views
Is there any board game where a human can still beat an AI?
Significant AI vs human board game matches include:
chess: Deep Blue vs Kasparov in 1996,
go: DeepMind AlphaGo vs Lee Sedol in 2016,
which demonstrated that AI challenged and defeated professional ...
- 10.4k
6
votes
2
answers
1k
views
What is the current state-of-the-art in Reinforcement Learning regarding data efficiency?
In other words, which existing reinforcement method learns with fewest episodes? R-Max comes to mind, but it's very old and I'd like to know if there is something better now.
- 2,099