Questions tagged [state-of-the-art]
For questions related to "state of the art" (SOTA) models in machine learning and, in general, AI.
35 questions
0 votes
0 answers
51 views
How far are we from developing a robot that can cook and be controlled remotely?
How far are we from developing a robot that can cook at a stove with utensils pots and ingredients, and that can be operated with a visor and limb remote controls?
1 vote
0 answers
139 views
SOTA model (PAtt-lite) implementation with Pytorch [closed]
I'm trying to implement a model guided by the paper of PAtt-lite (weights are on https://github.com/jlrex/patt-lite but no implementation provided yet). Using FER2013+ and RAF-DB. The main classes I'...
- 111
1 vote
1 answer
187 views
The SOTA of derivative-free optimization
As titled, I want to ask what is the SOTA of derivative-free algorithm. I am not familiar with this thing at all, the only derivative-free optimization algorithm I am familiar with is GA, and others ...
- 13
3 votes
0 answers
62 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
3 votes
2 answers
141 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
196 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 ...
- 153
1 vote
1 answer
221 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 (...
- 276
2 votes
2 answers
2k 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
157 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 ...
- 47
1 vote
0 answers
233 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)...
- 243
1 vote
1 answer
104 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
77 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 ...
- 645
5 votes
1 answer
992 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 ...
- 423
7 votes
1 answer
2k 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
124 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