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?".

115 questions with no upvoted or accepted answers
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Are there transformer-based architectures that can produce fixed-length vector encodings given arbitrary-length text documents?

BERT encodes a piece of text such that each token (usually words) in the input text map to a vector in the encoding of the text. However, this makes the length of the encoding vary as a function of ...
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57 views

Why are most commonly used activation functions continuous?

I have come to notice that the most commonly used activation functions are continuous. Is there any specific reason behind this? Results such as this paper have worked on training networks with ...
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1answer
113 views

Research into social behavior in Prisoner's Dilemma

I've been working on research into reproducing social behavior using multi-agent reinforcement learning. My focus has been on a GridWorld-style game, but I was thinking that maybe a simpler Prisoner's ...
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2answers
75 views

How do you measure multi-label classification accuracy?

Multi-label assignment is the task in machine learning to assign to each input value a set of categories from a fixed vocabulary where the categories need not be statistically independent, so ...
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82 views

Forcing a neural network to be close to a previous model - Regularization through given model

I'm wondering, has anyone seen any paper where one trains a network but biases it to produce similar outputs to a given model (such as one given from expert opinion or it being a previously trained ...
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35 views

What are some neural network models that can use auxiliary info during training for image segmentation?

What are some deep learning models that can use supplementary information other than RGB channels for image segmentation? For example imagine a poorly shot image of a river (blue) that shows a gap, ...
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38 views

Is non-negative matrix factorization for machine learning obsolete?

I am taking a course about using matrix factorization for machine learning. The first thing that came into my mind is by using the matrix factorization we are always limited to linear relationships ...
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1answer
80 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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75 views

How can I generate artificial conversations between two AIs?

I am building an artificial town that has randomly generated people with different personalities. People in this artificial town have attributes that change their happiness, ego, rep, etc. I already ...
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1answer
66 views

Which machine learning method can take a matrix as input?

I am pretty new to the machine learning field. I want to use an $n \times m$ matrix as the input of a model, in order to predict a vector $1 \times m$, both of real numbers. Input data are quite clean,...
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73 views

Is there a good book or paper on word embeddings?

Is there a good and modern book that focuses on word embeddings and their applications? It would also be ok to provide the name of a paper that provides a good overview of word embeddings.
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What are examples of good reference books on unsupervised learning?

I am looking for good introductory and advanced books on unsupervised learning. I have already read books like Probabilistic Graphical Models from D. Kholler and Pattern Recognition and Machine ...
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35 views

Are there heuristics that play Klondike Solitaire well?

Are there heuristics that play Klondike Solitaire well? I know there are some good exhaustive search solvers for Klondike Solitaire. The best one that I know of is Solvitaire (2019) which uses DFS, (...
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53 views

What is the effect of K in K-NN on the VC dimension?

What is the effect of K in K-NN on the VC dimension? When K increases, is the VC dimension decreased or increased, or we can't say anything about this? Is there a reference book that discusses this?
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35 views

What is the paper that states that humans incorrectly trust the incorrect explanations of the AI?

I was reading a paper on the subject of explainable AI and interpretability, in particular the tendency of people (even experts) to excessively trusting explanations given by AI. In the intro the ...
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38 views

What is the first short film completely made by AI?

I have created (not me exactly) a short film entirely made by AI. There many short films (like Sunspring) 'written' by AI but were acted out by humans. In my short film, the story is by the AI, the ...
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23 views

What are some of the main high level approaches to applying ML on kinematic sensor data?

I've just started a project which will involve having to detect certain events in a stream of kinematic sensor data. By searching through the literature, I've found a lot of highly specific papers, ...
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47 views

Are there any new weight initialization techniques for DNN published after 2015?

Considering weights initialization in my personal projects, I always used some standard techniques such as: Glorot (also known as Xavier) initialization (2010). Mertens initialization (2010). He ...
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1answer
73 views

Current research on Gödel machines

Is there any current research on Gödel machines? It seems that the last article by Jürgen Schmidhuber on this topic was published in 2012: http://people.idsia.ch/~juergen/goedelmachine.html
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Can DQN outperform DoubleDQN?

I found a similar post about this issue, but unfortunately I did not find a proper answer. Are there any references where DQN is better than DoubleDQN, that is DoubleDQN does not improve DQN ?
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Literature on the advantages of using an auto-encoder for classification

Given a supervised problem with X, y input pairs, one can do two things for obtaining the function f that maps X with y with Neural Networks (and in general in machine learning): Deploy directly a ...
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43 views

How efficient is SCAWI weight initialization method?

I'm currently in the middle of a project (for my thesis) constructing a deep neural network. Since I'm still in the research part, I'm trying to find various ways and techniques to initialize weights. ...
2
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73 views

Is there any research on developing AGI systems based on meta-programming?

Meta-programming is programming that can modify itself, which is an appealing concept to me, given that I associate the idea of modifying one's self with general intelligences (like humans). I think ...
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36 views

Combine DQN with the Average Reward setting

I have to deal with a non-episodic task, where there is addittionally a continuous state space and more specifically in each time step there is always a new state that has never been seen before. I ...
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38 views

What are the applications of hierarchical softmax?

Apart from its use in word embeddings (e.g word2vec algorithm), are there any other applications of hierarchical softmax? If yes, can you please give me some reference papers?
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27 views

Is there any published research on the information-carrying capacity of the human face?

Is there any published research on the information-carrying capacity of the human face? Here I mean "how much information can be conveyed via facial expressions & micro-expressions". This is a ...
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Is there an online RL algorithm that receives as input a camera frame and produces an action as output?

I want to build a reinforcement learning model, which takes a camera picture as input, that learns online (in terms of machine learning). Based on the position of an object on the camera, I want the ...
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44 views

When to do discretization to decrease the state/action space in RL?

When to do discretization to decrease the state/action space in RL? Can you give me some references that such a technique is used?
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1answer
1k views

What are some good alternatives to U-Net for biomedical image segmentation?

Soon I will be working on biomedical image segmentation (microscopy images). There will be a small amount of data (a few dozens at best). Is there a neural network, that can compete with U-Net, in ...
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23 views

Will structured knowledge bases continue to be used in question answering with the likes of BERT gaining popularity?

This may come across as an open and opinion-based question, I definitely want to hear expert opinions on the subject, but I am also looking for references to materials that I can read deeply. One of ...
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30 views

Boston Housing Current Best Model

I'm currently looking for a standard data-set to test some new regression models I've been developing on, and the "Boston Housing Prices" data-set seemed to stand out, since it's very standard. ...
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30 views

References on generalization theory and mathematical abstraction of ML concepts

I'd like to learn about generalization theory for machine learning algorithms. I'm looking for books and other references (in case books aren't available) that provide a gentle introduction to the ...
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367 views

Is it possible to create a decompiler using AI?

I would like to decompile a compiled file to source code. Is it possible to use any AI technique to perform decompilation? Is there any research on this topic? If yes, can you briefly explain one of ...
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30 views

Is there a detailed description or implementation of an end-to-end speech recognition system?

I am currently trying to implement an end-to-end speech recognition system from scratch, that is, without using any of the existing frameworks (like TensorFlow, Keras, etc.). I am building my own ...
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56 views

ChatBot applications [Academia]

I am in education and I'm wondering about the use of chatbot-like tools to facilitate automated discussions among students. The chatbot domain of knowledge would be purposely restricted to a specific ...
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660 views

Can we combine multiple different neural networks in one?

I want to make a kind of robotic brain, i.e. a big neural network, which includes an NLP model (for understanding human voice), real-time object recognition system (so that it can identify particular ...
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1answer
97 views

Would YOLO be able to detect objects in “different” positions?

I have the following question about You Only Look Once (YOLO) algorithm, for object detection. I have to develop a neural network to recognize web components in web applications - for example, login ...
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497 views

Is Christopher Bishop’s “Pattern Recognition and Machine Learning” out of date in 2018?

I recently came across reference to a book that was highly regarded: “Pattern Recognition and Machine Learning” by Christopher Bishop. I am a beginner working my way through some machine learning ...
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1answer
173 views

What kind of AI technique can I use to play the “Lines” game?

I am trying to find a good approach to create a computer player for the game "Lines" from gamious on Android. The concept of the game is pretty straightforward : Lines is an abstract ‘zen’ ...
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20 views

Is there any work that applies the approach in “Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms” to standard Q-learning?

I am trying to mathematically characterize the finite sample convergence rates for Q-learning. To this end, I have read the following papers Learning rates for Q-learning, by Eyal Even-Dar et al.; ...
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16 views

What is the best way to train neural network with imbalanced mixed data (images and structured data)?

I have structured data and image data to solve a regression problem. One sample of structured data can be related to N images. If I use only structured data, I get decent performance, but not enough ...
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18 views

What are the most relevant resources that define the face detection problem formally?

I am new to AI, and I am a bit lost about finding the relevant materials that define the face detection problem formally/mathematically. Can anyone help me formally define face detection, or at least ...
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Current extensions of the “Turing Test”?

In 2014 it was widely reported that the Turing Test had been passed, and that this was a major AI milestone. See: Computer AI passes Turing test in 'world first [BBC]; Turing Test Success Marks ...
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27 views

Is there literature on Neural Network with activation functions of bounded domain?

I think to have found a somewhat interesting connection between neural networks and another area of mathematics. However, it requires the activation functions in the network to have a bounded - ...
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19 views

Which methods for weight initialization in Neural Networks are currently common practice?

I am currently researching the topic of weight initialization methods for (deep) neural networks and I'm a little stuck. The result of my work should be an overview of methods that are currently in ...
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17 views

Is there any research on the application of policy gradients to problems where the selection of an action requires the selection of another one?

I am working on a problem and want to explore if it can be solved with PPO (or other policy gradient methods). The problem is that the action space is a bit special, compared to classic RL ...
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0answers
38 views

Is there any comprehensive book that reviews topics in the area of brain-inspired computing?

I am looking to write my master's thesis next year about brain-inspired computing. Hence, I am looking to get a good overview of this domain. Do you know of any comprehensive book that reviews topics ...
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26 views

Gradual decrease in performance of a DDPG agent

I'm trying to solve the OpenAI's CarRacing-v0 environment with the DDPG algorithm. I've observed that after a period of learning, the agent's performance starts to deteriorate slowly. For some ...
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1answer
60 views

Can cryptocurrency charts be estimated using neural networks?

If I were to make a neural network that predicts the value of e.g. Bitcoin tomorrow based on the chart of the last month, would that work? Of course, 100% accuracy cannot be reached, but a success ...
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23 views

What is the best approach for sentiment analysis when the text is very brief?

I'm working on a project to do sentiment analysis but my data is not long and properly formatted text. It's more likely to be very short sentences, e.g. tweets (in full tweet lingo), quick reviews of ...