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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1answer
44 views

How to calculate the false positives and negatives?

I have a huge amount of data and I want to calculate my false positive and false negative. Is there a software that can help me determine it?
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1answer
59 views

Reinforcement learning with hints or reference model

In Reinforcement Learning, when I train a model, it comes up with its own set of solutions. For example, if I am training a robot to walk, it will come up with its own walking gait, such as this Deep ...
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59 views

Reference request: one-hot encoding outperforming random orthogonal encoding

I experimented with a CNN operating on texts encoded as sequences of character vectors, where characters are encoded as one-hot vectors in one embedding and as random unit length pairwise orthogonal ...
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1answer
140 views

What are some conferences for publishing papers on Deep Learning for Human Activity recognition?

What are some conferences for publishing papers on Deep Learning for Human Activity recognition? Do any of the major conferences have specific tracks for Human Activity Recognition?
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50 views

Few doubts regarding facial recognition

What are some famous algorithms that i can apply to develop a face recognition software to achieve more than 95% accuracy .What are some good sources related to this. I have basic knowledge related ...
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1answer
77 views

What are the most common methods to enable neural networks to adapt to changing environments?

For real applications, concept drifts often exist, i.e., the relationship between the input and output changes overtime. Thus, we need our AI or machine learning system to quickly adapt to the ...
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1answer
326 views

Is there a continuous conditional variational auto-encoder?

The Conditional Variational Autoencoder (CVAE), introduced in the paper Learning Structured Output Representation using Deep Conditional Generative Models (2015), is an extension of Variational ...
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1answer
98 views

How can I learn tensors for deep learning?

I've seen in most deep learning papers use tensors. I understood what tensors are, but I want to dive into them, because I think that might be beneficial for further studies in Artificial Intelligence....
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3answers
5k views

Where can I find the proof of the universal approximation theorem?

The Wikipedia article for the universal approximation theorem cites a version of the universal approximation theorem for Lebesgue-measurable functions from this conference paper. However, the paper ...
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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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Predicting Hot Categories In a Reference Manager

Reference managers like Zotero or Mendeley allow researchers to categorize papers into hierarchical categories called collections. The User navigates through a listing of these collections when filing ...
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I am looking for research related to the use of AI and ML in automotive and aeronautics safety design

I am specifically interested in the topic of edge cases. I have the presentation Edge Cases and Autonomous Vehicle Safety as a starting point, in particular on page 6: Machine Learning (inductive ...
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1answer
432 views

Is there any research work that attempts to combine neuroevolution with deep reinforcement learning?

Neuroevolution can be used to evolve a network's architecture (and weights, of course). Deep reinforcement learning, on the other hand, has been proven to be extremely powerful at optimising the ...
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1answer
125 views

Are Relational DBs and SQL used in Expert Systems?

In the book Prolog Programming for Artificial Intelligence, a large and intricate chapter (chapter 14) is dedicated to Expert Systems. In these systems, a knowledge-database is represented through ...
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3answers
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Which explainable artificial intelligence techniques are there?

Explainable artificial intelligence (XAI) is concerned with the development of techniques that can enhance the interpretability, accountability, and transparency of artificial intelligence and, in ...
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1answer
85 views

Other deep learning image generation techniques besides GANs?

Can you please point me to some resources about image genereation besides GANs? Are there any other techniques throughout history? How did idea of image generation evolved and how it started? I tried ...
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1answer
65 views

What are the known ways to test AI black boxes? [closed]

Is there any conmprehensive paper or site that describes an overview of the known black box testing techniques?
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3answers
258 views

How is neural architecture search performed?

I have come across something that IBM offers called neural Architecture search. You feed it a data set and it outputs an initial neural Architecture that you can train. How is neural architecture ...
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1answer
1k views

Which machine learning models are universal function approximators?

The universal approximation theorem states that a feed-forward neural network with a single hidden layer containing a finite number of neurons can approximate any continuous function (provided some ...
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49 views

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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0answers
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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1answer
441 views

What are some simple open problems in multi-agent RL that would be suited for a bachelor's thesis?

I've decided to make my bachelor thesis in RL. I am currently struggling to find a good problem. I am interested in multi-agent RL with the dilemma between selfishness and cooperation. I only have 2 ...
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1answer
42 views

Are there communities dealing with costs-vs-accuracy tradeoffs in Machine Learning?

My group is working on a ML model that can work with little data (and bad accuracy) as long as there actually is little data available but can easily be extended as soon as said data becomes available ...
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2answers
362 views

How can we estimate the transition model and reward function?

In reinforcement learning (RL), there are model-based and model-free algorithms. In short, model-based algorithms use a transition model (e.g. a probability distribution) and the reward function, even ...
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2answers
521 views

Apart from the state and state-action value functions, what are other examples of value functions used in RL?

In reinforcement learning, we often define two functions, the state-value function $$V^\pi(s) = \mathbb{E}_{\pi} \left[\sum_{k=0}^{\infty} \gamma^{k}R_{t+k+1} \Bigg| S_t=s \right]$$ and the state-...
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Is the expert system still in use today?

In my country, the Expert System class is mandatory, if you want to take the AI specialization in most universities. In class, I learned how to make a rule-based system, forward chaining, backward ...
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1answer
91 views

How can I systematically learn about the theory of neural networks?

I have seen a few articles about neural nets. Mostly they went along these lines: we tried these architectures, these meta parameters, we trained it for $x$ hours on $y$ CPUs, and it gave us these ...
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1answer
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Would machine learning be suitable for finding the seed of a random number generator?

I'm new to machine learning, and AI in general (but with 20+ years for programming). I'm wondering if machine learning is a good general approach to find the seed of a random number generator. Suppose ...
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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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1answer
92 views

Is there any research on the identification of a person's feelings using features such as facial expressions or body temperature?

People could be sad, happy, depressive, angry, nervous, calm, relaxed, bored, etc. I don't know how to express all of these feelings and emotions in English terms (I'm not an English native speaker), ...
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1answer
137 views

Is there a mathematical example for Conditional Random Fields?

I am learning about probabilistic graphical models and I was wondering if there is an example explaining the math behind conditional random fields. Looking solely on the formula, I have no idea what ...
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2answers
7k views

Any papers regarding different/inconsistent action space in Reinforcement Learning? [closed]

This question is regarding Reinforcement Learning and different/inconsistent action space for every/some states. What do I mean by different/inconsistent action space? Let say you have an MDP where ...
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1answer
250 views

Given an image and two points $A$ and $B$ on that image, how could we find a path from $A$ to $B$?

If we have a search or path-finding problem, A* and Dijkstra's algorithm require that we formulate it as a search in a graph with nodes and connections between these nodes. If there are obstacles, we ...
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1answer
386 views

Which Rosenblatt's paper describes Rosenblatt's perceptron training algorithm?

I struggle to find Rosenblatt's perceptron training algorithm in any of his publications from 1957 - 1961, namely: Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms The ...
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0answers
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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3answers
9k views

Where can I find the original paper that introduced RNNs?

I was able to find the original paper on LSTM, but I was not able to find the paper that introduced "vanilla" RNNs. Where can I find it?
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1answer
189 views

What does “hard for AI” look like?

In theoretical computer science, there is a massive categorization of the difficulty of various computational problems in terms of their asymptotic worst-time computational complexity. There doesn't ...
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2answers
3k views

How can I create an artificially intelligent aimbot for a game like CS:GO?

How can I create an artificially intelligent aimbot for a game like Counter-Strike Global Offensive (CS:GO)? I have an initial solution (or approach) in mind. We can train an image recognition model ...
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2answers
405 views

What are the best machine learning models for music composition?

What are the best machine learning models that have been used to compose music? Are there some good research papers (or books) on this topic out there? I would say, if I use a neural network, I would ...
5
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1answer
224 views

Self-driving control logic based on semantic segmentation

In the context of autonomous driving, two main stages are typically implemented: an image processing stage and a control stage. The first aims at extracting useful information from the acquired image ...
2
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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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2answers
98 views

How can I implement back-propagation for medium-sized neural networks?

I've been wanting to make my own Neural Network in Python, in order to better understand how it works. I've been following this series of videos as a sort of guide, but it seems the backpropagation ...
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2answers
245 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 ...
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2answers
1k views

What are the available exploration strategies for continuous action space scenarios in RL?

I'm building a deep neural network to serve as the policy estimator in an actor-critic reinforcement learning algorithm for a continuing (not episodic) case. I'm trying to determine how to explore ...
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3answers
339 views

Does an AI exist that can write software based on a formal specification?

Does an AI exist that can automatically write software based on a formal specification of the software?
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3answers
1k views

What are the mathematical prerequisites for an AI researcher?

What are the mathematical prerequisites for understanding the core part of various algorithms involved in artificial intelligence and developing one's own algorithms? Please, refer some specific books....
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0answers
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
98 views

What are some resources regarding the complexity of training neural networks?

In the paper "Provable bounds for learning some deep representations", an autoencoder like a model is constructed with discrete weights and several results are proven using some random-graph theory, ...
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0answers
132 views

Can Artificial Being learn despite a lack of self-awareness? [closed]

While am thinking about the age of Artificial General Intelligence and Artificial SuperIntelligence , this question came into my mind. This Bell Labs blog post says: "...where humanity is ...
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3answers
507 views

AI beginners books for coding [closed]

Does anyone know a good book to buy for beginners to coding for artificial intelligence? I have done some coding in Java and a little with Python, but I would be willing to learn a new language too.

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