Questions tagged [research]

For questions related to in-depth study or academic research. Do NOT use this tag when you are trying to find something out.

Filter by
Sorted by
Tagged with
0 votes
1 answer
23 views

How do I implement the 'gradient clipping' in the Neural Replicator Dynamics paper?

The paper is here https://arxiv.org/pdf/1906.00190.pdf and the relevant paragraph where they explain their method is below: It's still not clear to me how this is meant to work exactly. In the pseudo-...
0 votes
0 answers
20 views

How to find AI research papers where authors provide source codes that will reproduce the experiments described in the paper?

It is important for a research paper to include raw data and code for scientific replicability, verifiability, and falsifiability. However, as noted by nbro, roughly 5% percent of papers have code ...
  • 153
1 vote
1 answer
56 views

Is it common that an applied deep learning research paper does not disclose any raw data and source code? [duplicate]

I think it is important for a research paper to include raw data and code for scientific replicability, verifiability, and falsifiability. However, recently, most of the research paper I read does not ...
  • 153
0 votes
1 answer
35 views

How can I demonstrate a novel ML classification algorithm has value?

I designed a ML classification algorithm that's simple, efficient, and effective. It's not perfect, but seems to be widely applicable across domains. I'd like to submit it for publication, but I don't ...
  • 1
0 votes
0 answers
21 views

Is there any sort of 'best practice' for giving the general public access to deep learning models to accompany academic papers?

Is there any sort of 'best practice' for giving the general public access to deep learning models to accompany academic papers?
0 votes
0 answers
29 views

What is the motivation behind NAS Bench 201 research?

I recently read the "paper NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search", which can be found here. I can say that I understood most of the paper but I am not ...
2 votes
1 answer
97 views

Can AI be used for grading code copy exercises and adjust difficulty based on these scores?

I'm a senior in a bachelor Multimedia and Creative Technology. My experience is mostly full-stack web app development. For my bachelor's thesis, I need to do research in a subject I have no experience ...
8 votes
3 answers
929 views

Is it okay to use publicly available Instagram videos to train an AI?

Since I haven't found any good training data for my university project, I want to use pictures and videos from public Instagram profiles. Am I allowed to do that?
5 votes
2 answers
237 views

Should I repeat lengthy deep learning experiments to average results ? How to decide how many times to repeat?

I am doing my MSc thesis on deep learning. My model takes many hours to train. Part of what I do is trying different parameters and settings hoping that they will achieve different results. But I ...
  • 221
5 votes
0 answers
69 views

Is there a venue to publish negative results in AI/ML domain?

Negative results occur frequently in AI/ML research (and perhaps in other domains too). Most of the time, these results are not published. This is mostly because your typical AI/ML conference doesn't ...
0 votes
0 answers
30 views

Non-locally Electrically Programmable Logic Gates - Technological Advances Progress

Preface: I’d like to clarify that I understand what a relay is and that a PLC uses a fairly conventional microprocessor that only digitally establishes logical logic gate configuration as a digitally ...
1 vote
1 answer
100 views

Why many deep learning research papers continue to be in arXiv?

There are plenty of research papers, especially in deep learning are present only in arXiv with large number of citations. I cannot find them in journals as peer-reviewed ones. For example if I search ...
  • 3,261
2 votes
1 answer
108 views

Do researchers generally treat tensors just as mathematical objects with certain shape?

Most of the practical research in AI that includes neural networks deals with higher dimensional tensors. It is easy to imagine tensors up to three dimensions. When I ask the question How do ...
  • 3,261
0 votes
0 answers
32 views

Do deep learning researchers generally visualize intermediate steps?

Many researchers in deep learning research come up with new CNN architectures. The architectures are (just) combinations of a few existing layers. Along with their mathematical intuition, in general, ...
  • 3,261
2 votes
0 answers
43 views

How much research, approximately, is done in ANNs?

Does someone know where can I find information about how much research, nowadays, is done in ANNs? I've checked in this document Redes Neuronales: Conceptos básicos y aplicaciones, Universidad ...
4 votes
2 answers
197 views

What algorithms are used in Artificial General Intelligence research?

I've read on wiki that already in 2017 there were over 40 institutions researching AGI, and I wonder what type of algorithms are being studied and developed in this field. For example, for comparison ...
  • 1,195
1 vote
0 answers
83 views

Which topics about/in OpenCog could be researched in a Ph.D. thesis

In this interview with Lex Fridman and Ben Goertzel, at 2:23:48, Lex asks about possibilities for young people in the domain of AGI research. Ben Goertzel then answers that there are various ...
  • 81
5 votes
1 answer
64 views

In the field of Deep Learning research, what considerations do researchers take into account when inventing new neural network models?

I am not a researcher, but I am curious to know what considerations are relevant to take into account during research for the invention of a new neural network model, and what relevant knowledge ...
0 votes
1 answer
78 views

On what basis is MATLAB "inflexible" to perform ML/AI research on it?

During a course review, I have provided my opinion on the course overall. I stated that MATLAB is also a great environment to program and do research for ML/AI, but my professor seemed to have taken ...
  • 103
2 votes
0 answers
79 views

Did the Hutter Prize help research in artificial intelligence in any way?

Wikipedia states: The Hutter Prize is a cash prize funded by Marcus Hutter which rewards data compression improvements on a specific 1 GB English text file. The goal of the Hutter Prize is to ...
4 votes
1 answer
61 views

Is there a document with a list of conjectures or research problems regarding reinforcement learning (like the Millennium Prize Problems)?

Is there a document with a list of conjectures or research problems regarding reinforcement learning like the Millennium Prize Problems?
  • 43
1 vote
0 answers
31 views

Is the framework provided by this paper for checking the constraints of AI systems really new?

The authors of this paper present a framework for checking the constraints of AI systems using formal argumentative logic between 2 agents: an interrogating agent and a suspect agent. The ...
  • 11
3 votes
0 answers
58 views

What is the reverse of passing a Turing test by a human pretending to be a robot that can't be identified?

A Turing Test is a method of inquiry for determining whether or not a computer is capable of thinking like a human being. In an ideal Turing test, it would be clear to differentiate between a real ...
3 votes
1 answer
263 views

Are there any active areas of research in machine learning that do not involve neural networks at all?

So far, I have not been able to find many papers that do not involve neural networks, so I was hoping I can gain some insight here. Any references would be greatly appreciated.
  • 223
2 votes
1 answer
94 views

Can TensorFlow, PyTorch, and other mainstream ML frameworks be used for research-grade work in AI?

Many authors of research papers in AI (e.g. arXiv) write their neural networks from the ground-up, using low-level languages like C++ to implement their theories. Can existing open source frameworks ...
5 votes
1 answer
139 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 ...
0 votes
1 answer
31 views

What is the process of inventing deep neural network models? How researchers deal with long training times?

After reading this topic on GitHub how long time it takes to train YOLOV3 on coco dataset I was wondering how researchers deal with long training times while inventing new architectures. I imagine ...
  • 101
1 vote
0 answers
65 views

Can any area of math come into play in Machine Learning Research?

As I read online following areas in mathematics come into play in ML research Linear Algebra Calculus Differential Equations Probability Statistics Discrete Mathematics Optimization Analytic Geometry ...
  • 111
3 votes
1 answer
163 views

How do AI researchers imagine higher dimensions?

We can visualize single, two, and three dimensions using websites or imagination. In the context of AI and, in particular, machine learning, AI researchers often have to deal with multi-dimensional ...
  • 3,261
4 votes
2 answers
306 views

How much is currently invested in artificial general intelligence research and development?

How much is currently invested in artificial general intelligence research and development worldwide? Feel free to add company or VC names, but this is not the point. The point is to get an idea of ...
  • 189
1 vote
0 answers
95 views

How differentiable programming and programming language supporting it will potentially help the development towards AGI?

After the state of the art Deep Learning techniques/algorithms being implemented in low-level languages like Objective-C, C++, etc to high-level languages like Python, JS, etc. and with the help of ...
3 votes
1 answer
91 views

Research paths/areas for improving the performance of CNNs when faced with limited data

I've been reading through the research literature for image processing, computer vision, and convolutional neural networks. For image classification and object recognition, I know that convolutional ...
1 vote
1 answer
71 views

As an AI researcher, what subjects do you find yourself referring to most often? [closed]

This is a bit of a weird question. I am hoping to create an online reference since I have some downtime. I know some about statistics but very little about computer science. As a result, the ...
  • 143
0 votes
1 answer
125 views

What are the mathematical prerequisites needed to understand research papers on neural networks? [closed]

I know we have developed some mathematical tools to understand deep neural networks, gradient descent for optimization, and basic calculus. Recently, I encountered arxiv paper that describes higher ...
0 votes
0 answers
41 views

Is it a good idea to train a neural network to classify images without base-hypothesis?

I'm a relative beginner in deep learning (understand by that, I'm doing my first Kaggle competition right now, and I have loads to learn still) and I was just wondering something. Let's say you have ...
2 votes
0 answers
270 views

Ways to keep up with the latest developments in Machine Learning and AI?

With over 100 papers published in the area of artificial intelligence, machine learning and their subfields every day (source), accounting for ~3% of all publications world wide per year (source) and ...
  • 600
3 votes
4 answers
268 views

How can I read any AI paper?

I have studied linear algebra, probability, and calculus twice. But I don't understand how can I reach the level that I can read any AI paper and understand mathematical notation in it. What is your ...
1 vote
0 answers
180 views

Creating 4k HDR video from 720p footage

So, my company recently bought a big 4k HDR TV for our reception, where we keep showing some videos that were originally shot/created at 720p resolution. Before this, we had a relatively small HD TV, ...
  • 111
1 vote
1 answer
62 views

What are the real applications of hierarchical temporal memory?

What are the real applications of hierarchical temporal memory (HTM) in machine learning (ML) these days?
  • 1,683
1 vote
1 answer
119 views

Are there any conferences dedicated to artificial general intelligence?

Similarly to What are the scientific journals dedicated to artificial general intelligence?, are there any conferences dedicated to artificial general intelligence?
  • 35k
3 votes
1 answer
758 views

How does publishing in the deep learning world work, with respect to journals and arXiv?

Let's say I implemented a new deep learning model that pushed some SOTA a little bit further, and I wrote a new paper about for publication. How does it work now? I pictured three options: Submit it ...
  • 235
24 votes
3 answers
4k views

Why do most deep learning papers not include an implementation?

I'm a novice researcher, and as I started to read papers in the area of deep learning I noticed that the implementation is normally not added and is needed to be searched elsewhere, and my question is ...
1 vote
0 answers
48 views

What are the procedures to get RL paper results? [closed]

I finished working on a new algorithm in Reinforcement Learning, I need to compare it to some well-known algorithms. That's why I need to know the step-by-step procedures that RL researchers usually ...
  • 151
1 vote
1 answer
62 views

What are some conferences for publishing papers on graph convolutional networks?

What are some conferences for publishing papers on graph convolutional networks?
1 vote
0 answers
19 views

Has there been any work done on AI-driven operant conditioning?

For example, a RL algorithm that gains points when a rat presses a lever and loses points when it dispenses a pellet, water, treat, and/or sugar water. After a few days of controlling the rewards ...
2 votes
2 answers
160 views

What are the scientific journals dedicated to artificial general intelligence?

Apart from Journal of Artificial General Intelligence (a peer-reviewed open-access academic journal, owned by the Artificial General Intelligence Society (AGIS)), are there any other journals (or ...
  • 35k
1 vote
1 answer
39 views

Is the paper "Reducing the Dimensionality of Data with Neural Networks" by Hinton relevant?

Is the paper "Reducing the Dimensionality of Data with Neural Networks" by G. Hinton and R. Salakhutdinov relevant? It seems that the deep learning textbook by Goodfellow, Bengio & Courville (...
  • 207
1 vote
1 answer
62 views

What AI conferences in Europe should I consider submitting papers to explaining the ongoing work on RefPerSys?

https://afia.asso.fr/journee-hommage-j-pitrat/ is a seminar on March 6th, 2020, in Paris (France, European Union), in honor of the late Jacques Pitrat, who advocated during all his professional life a ...
2 votes
1 answer
75 views

Have GANs been used to solve regression problems?

I've noticed that in the last 2 years GANs have become really popular. I know that initially they have been proposed for image classification but I was curious if any of you are aware of any papers ...
  • 1,098
5 votes
1 answer
304 views

Is there a reason to use TensorFlow over PyTorch for research purposes?

I've been using PyTorch to do research for a while and it seems to be quite easy to implement new things with. Also, it is easy to learn and I didn't have any problem with following other researchers ...