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1500 questions
9
votes
1 answer
What are the different approaches used in Machine Learning?
There seem to be so many sub-fields, so I'm interested in getting a better understanding of the approaches.
I'm looking for information on a single framework per answer, in order to allow for granularity without the overall answer getting too long.…
kakaz
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9
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2 answers
How is the "right to explanation" reasonable?
There has been recent uptick in interest in eXplainable Artificial Intelligence (XAI). Here is XAI's mission as stated on its DARPA page:
The Explainable AI (XAI) program aims to create a suite of machine learning techniques that:
Produce more…
LastIronStar
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9
votes
5 answers
Why isn't ethics more integrated into current AI systems?
I am a PhD student in computer science, and currently creating a state of the art overview in applications done in Machine Ethics (a multidisciplinary field combining philosophy and AI, that looks at creating explicit ethical programs or agents). It…
Suzanne
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9
votes
2 answers
What is an activity vector in capsule neural networks?
I was reading the paper Dynamic Routing Between Capsules and didn't understand the term "activity vector" in the abstract.
A capsule is a group of neurons whose activity vector represents the instantiation parameters of a specific type of entity…
tim_xyz
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9
votes
4 answers
When to choose Stochastic Hill Climbing over Steepest Hill Climbing?
Stochastic Hill Climbing generally performs worse than Steepest Hill Climbing, but what are the cases in which the former performs better?
Rohan Sharma
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9
votes
1 answer
What causes ChatGPT to generate responses that refer to itself as a bot or LM?
ChatGPT occasionally generates responses to prompts that refer to itself as a "bot" or "language model."
For instance, when given a certain input (the first paragraph of this question) ChatGPT produces (in part) the output:
It is not appropriate…
Obie 2.0
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9
votes
2 answers
What's the difference between Starcraft and Dota from an AI perspective?
So, Deepmind is pushing for a human level Starcraft bot and Open AI just created a human level 1vs1 Dota bot.
Unfortunately, I've no clue what that signifies because I've never played Starcraft nor Dota nor do I have more than a fleeting…
BlindKungFuMaster
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9
votes
1 answer
Are biological neurons organized in consecutive layers as well?
I'm now reading a book titled Hands-On Machine Learning with Scikit-Learn and TensorFlow and in the Chapter 10 of the book, the author writes the following:
The architecture of biological neural networks (BNN)4 is still the subject of active…
Blaszard
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9
votes
6 answers
If an event has a statistical probability of only 50%, is it possible to use a neural network to predict it with more than 50% accuracy?
For example using a neural network to predict a coin toss. Can a trained neural network to predict it with more than 50% accuracy?
huang
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- 10
9
votes
2 answers
Is plain autoencoder a generative model?
I am wondering how a plain auto encoder is a generative model though its version might be but how can a plain auto encoder can be generative. I know that Vaes which is a version of the autoencoder is generative as it generates distribution for…
Nervous Hero
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9
votes
1 answer
What is the difference between the triplet loss and the contrastive loss?
What is the difference between the triplet loss and the contrastive loss?
They look same to me. I don't understand the nuances between the two. I have the following queries:
When to use what?
What are the use cases and advantages or disadvantages…
Exploring
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9
votes
3 answers
Can AI write good jokes yet?
Just watched a recent WIRED video on virtual assistants' performance on telling jokes. They're composed by humans, but I'd like to know if AI has gotten good enough to write some.
user7478
9
votes
1 answer
How powerful is the machine that beat the poker professional players recently?
How powerful is the machine that beat the poker professional players recently (DeepStack)?
user6411
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9
votes
4 answers
Are AI winters inevitable?
According to Wikipedia (citations omitted):
In the history of artificial intelligence, an AI winter is a period of reduced funding and interest in artificial intelligence research. The term was coined by analogy to the idea of a nuclear winter. The…
Left SE On 10_6_19
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9
votes
1 answer
How would one debug, understand or fix the outcome of a neural network?
It seems fairly uncontroversial to say that NN based approaches are becoming quite powerful tools in many AI areas - whether recognising and decomposing images (faces at a border, street scenes in automobiles, decision making in uncertain/complex…
Stilez
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