Questions tagged [reference-request]

Use when requesting examples of research or research papers, books, articles, blog posts or courses. For example, "Is there any published research about X?" or "What are good examples of Y in research?".

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Pipelines for the use of pretrained language and code models (e.g. OpenAI)? E.g. multi-hop use of OpenAI API? [closed]

When one uses OpenAI Codex or pretrained language model, then one simply enters the query and gets the answer from OpenAI API. But are there examples and efforts to build pipelines of OpenAI API calls?...
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Why does triplet loss allow to learn a ranking whereas contrastive loss only allows to learn similarity?

I am looking at this lecture, which states (link to exact time): What the triplet loss allows us in contrast to the contrastive loss is that we can learn a ranking. So it's not only about similarity, ...
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What are some solid metrics to evaluate/compare the outputs of explainable algorithms?

Consider a learned CNN image classifier and a task that focuses on studying the outputs of explainable algorithms, such as integrated gradients and grad-cam, on the classifier's predictions. I am ...
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Are there any guidelines on how to map the state space to integers in the case tabular RL algorithms?

Let's say that you want to solve a problem with a tabular reinforcement learning algorithm, for example, Q-learning. You can represent the value function $Q(s, a)$ as a $|\mathcal{S}|\times |\mathcal{...
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Is there any research on anger and distrust detection (presence and level of political cynicism)?

The undergrad research project I'm working on would require me to detect presence and level of political cynicism from reddit posts. According to definition political cynicism consists of anger ...
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Is there a multi-task RL algorithm that supports different action spaces for each agent?

I'm currently working on a project in which I need apply multi-task reinforcement learning. Over the same state space, each agent aims to do a separate task, but the action spaces of agents are ...
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2 votes
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How to construct a reward function for a "wait and see" problem

I'm working on a problem that I think could probably be represented as a reinforcement learning task, but I'm uncertain about how to design the reward function. The core task is essentially a ...
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Is there way to segment an image without labeling/classification, as well as supervised learning?

Is there way to segment an image without labeling/classification, as well as supervised learning? For an illustrative example, if one considers an image with a dog and a cup (we don't particularly ...
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1 answer
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How to model a multi-agent reinforcement learning problem where actions of different agents can take different durations?

I am confused on a conceptual scale how I would be able to model a multi-agent reinforcement learning problem when each agent performing an action would take different durations to complete the action....
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How can I vectorize fictional single word (not sentence!) for classification?

I am working on fictional single words (names) generator that have to sound like words from a given sample. I have the generator up and running that gives reasonable words 70% of time. I thought of ...
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Does the term "data augmentation" imply increasing the training dataset?

I have a manuscript which has been reviewed and one of the reviewer commented on my use of the term "data augmentation", saying that it might not be the appropriate term in my case (...
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What would be a good cost function based on both saliency-maps and labels?

I have a number of input samples where: every input sample has both a label and a reference-map. This reference-map gives a score to each location of an input sample. The score defines how much this ...
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Is it possible to train an AI to bring a picture story in the correct order (correct story flow)?

I want to know if it is possible to train a neural network (or some other kind of an AI) to bring a simple picture story in the correct order, if it is in random order, so that the story has the ...
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Unsupervised methodologies to detect collective anomalies in transaction data

I am researching various methodologies to detect collective anomalies in transactions data. I have seen some supervised approaches, but not the unsupervised ones. Please share any resources or ...
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Which NLP methods use gradient and activation methods?

I am doing a literature review of gradient-based methods for NLP. Yet, apart from linear and logistic regression, I have little knowledge of other methods using the gradient. So, I have no knowledge ...
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Papers or reviews of Heterogeneous Graph Neural Networks [closed]

I am looking for papers that work on heterogeneous graphs, in the sense that we have 2 types of nodes with different feature sets and 3 types of edges also with different feature sets across the ...
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How to approach in panel data using machine learning?

I have monthly electricity consumption data for the last year of 100k households. So there is a total (100k*12)= 1.2 million data points. I am willing to use this dataset to predict the individual's ...
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Given the high resolution signal and the low pass filter (kaiser filter), is there a way to reconstruct the low resolution signal?

When we upsampling a discrete 1d signal by 2x, we first interleave the signal by 0, then pass through a low pass filter. low resolution signal [x1, x2, x3, x4] -> interleave 0 -> [x1, 0, x2, 0, ...
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How might AI analyze abusive discussion using natural language grammar?

Opening thoughts This does not only apply to SE comments, but the idea in general. This is not a Question for Linguistics.SE; those Questions might come later, after AI analysis. Example Linguistics ...
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Are any AI systems available, or in development, for finding and analysing fallacious inference in natural language text?

Poor reasoning, and ignorance in general, is the source of a lot of suffering and evil. Covertly erroneous logic is often used in manipulation. And much of this broken thought is being used directly ...
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Where can I find Norvig's version of the pseudocode for the A* search algorithm?

Can anybody point me to a link to Peter Norvig's version of the A* pseudocode. I've googled it interminably but found nothing. It's the version that uses the Unexplored/Frontier/Explored data ...
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18 votes
2 answers
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How do neural networks play chess?

I have been spending a few days trying to wrap my head around how and why neural networks are used to play chess. Although I know very little about how the game of chess works, I can understand the ...
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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? ...
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What are the best practices of adding noise to game-playing bots?

I write bots that play card games. From time to time, I add noise to their decisions, mainly for two reasons: Reduce predictability: In games with hidden information the optimal play is a mix between ...
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Avoid unintentional "merging" in cluttered object detection

I have a problem that has bothered me quite some time. With modern methods object detectors can often be accurately trained, even with small to medium sized datasets. However, there is one thing where ...
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Example of games in reinforcement learning where no model is available? [duplicate]

I'm reading the Sutton & Barto's book "Reinforcement Learning: An Introduction" (2nd Edition), as the classes I took were a long time ago, and I'm struggling to understand this part (p. ...
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Examples of rationalizable AI

The marvelous book Game Changer: AlphaZero's Groundbreaking Chess Strategies and the Promise of AI gave rise to this question. It is - in my opinion - a perfect example of rationalizing a piece of AI ...
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References for Nvidia's DLSS

Nvidia's deep learning super-sampling is presented as an application of deep learning techniques to video-rendering in videogames. Question: I'm asking for a technical reference that explains what is ...
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Head Pose estimation using Car Interiors depth infromation

I am trying to determine head pose of a driver sitting in a car with the depth interiors of the car known to me. Is there any research work which exploits that information in determining the head pose ...
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Are there any works that deal with 2D pose estimation in videos?

Since pose estimation is often a task where spatial-temporal context should be helpful in finding subsequent key points, I thought there should be many papers on it. However, I could not find any work ...
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2 votes
1 answer
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What are the base rules for the symbolic integration implementation?

I want to implement a full symbolic integration. To achieve this. I've learned from Prof. Patrick Winston's AI lecture that Matlab uses 12 safe transformations, like that constant out, sums, etc. 12 ...
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Is there a paper/article on contextual $\epsilon$-greedy algorithm?

I am reading the paper A Contextual-Bandit Approach to Personalized News Article Recommendation, where it refers to $\epsilon$-greedy (disjoint) algorithm. I suspect, that it is just a version of a K-...
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3 votes
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What are knowledge graph embeddings?

What are knowledge graph embeddings? How are they useful? Are there any extensive reviews on the subject to know all the details? Note that I am asking this question just to give a quick overview of ...
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How do we give recommendations when users create/post content (like in YouTube)?

I've explored tools like amazon personalize, etc. for generating recommendations. It seems like amazon personalize is appropriate when all the content is with the company/a single entity. For example, ...
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Algorithms for solving Contextual Bandits Problem with multiples continuous actions

I am currently working on a problem that has 7 continuous actions and instantly gives a reward. I was thinking that there are Contextual-Bandits-Algorithms applicable to this kind of problem, but so ...
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1 vote
1 answer
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How to train an ML model to convert the given lyrics into a song by a particular singer?

I am interested in training a machine algorithm to convert the lyrics I give into a song by a particular singer. My language is non-English (south Indian) The songs are mostly monophonic (very few ...
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How does the distribution of the parameters change in logistic regression?

I have my own data to train a logistic regression model (for a multi-class classification task), and I want to know how the distribution of weight parameters changes after each update with gradient ...
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2 votes
1 answer
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Is there a mathematical formalism to deal with a missing reward signal?

Typically, a Reinforcement Learning learning problem is formalized as finding an optimal policy for a Markov Decision Process (MDP). In many real-life situations, however, an agent can only get ...
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Is there a way to adapt Particle Swarm Optimization to an incremental/online learning setting?

As stated in the title, is there a way to adapt PSO to an online scenario where new data samples arrive continuously? In more detail: suppose that I have a classifier with several parameters for which ...
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Which introductory courses (preferably video lectures) could I use to learn ML for applying ML to black hole simulations? [closed]

I am a Ph.D. candidate in High Energy Physics and my research involves numerical simulations and data analysis. I am interested to learn Artificial Intelligence and Machine Learning from the basics so ...
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Are there any resources that introduce the basics of online machine learning?

Are there any resources (either books, articles, or tutorials) that introduce the basics of online machine learning? For example, this website has nice lecture notes (from lec16) on some of the ...
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4 votes
2 answers
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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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1 vote
2 answers
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Would AlphaZero work just with a value network?

There is a nice post about the intuition why AlphaZero works. One of the advantages of using a policy network in the games where a perfect simulator is available (such as chess) is to save computation ...
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Is there any other (possibly less popular) approach to create AI apart from statistical methods?

From what I have gathered so far, an AI has some prior (stored in the form of some probability distribution), and, based on experiences/data, changes the distribution (via Bayes rule) accordingly. ...
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Reference needed for neural networks finding solutions of PDE's

DL-PDE prescribes a way to feed a neural network data, which in turn comes up with a PDE of the form $$u_{t}(t,x,y) = F(x,y,u,u_{x},u_{y},u_{xx},u_{xy},u_{yy},...) \hspace{0.5cm} (x,y) \in \Omega \...
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2D models on 3D tasks (convolutions): simple replace?

2D tasks enjoy a vast backing of successful models that can be reused. For convolutions, can one simply replace 2D operations with 3D counterparts and inherit their benefits? Any 'extra steps' to ...
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Does there exist functions for which the necessary number of nodes in a shallow neural network tends to infinity as approximation error tends to 0?

The Universal Approximation Theorem states (roughly) that any continuous function can be approximated to within an arbitrary precision $\varepsilon>0$ by a feedforward neural network with one ...
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1 vote
1 answer
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Is there any paper that shows that multi-channel neural networks are universal approximators?

Lately, I have been reading a lot about the universal approximation theorem. I was surprised to find only theorems about "single-channel" standard networks (multi-layer perceptrons), where ...
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Apart from ontologies, which other methods for knowledge representation are there in Artificial Intelligence?

From what I have been reading, I see statements like Ontology is a common method used for knowledge representation in artificial intelligence. But there is never really a discussion around what ...
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CNN Architectures for local features vs global context

Kaparthy in his blog post said [this] hints at the kinds of architectures we’ll eventually explore. As an example - are very local features enough or do we need global context? I'd like to gain ...
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