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.
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Training/Fine Tuning LLaVa
We wanted to fine-tune LLaVa model on some custom set of images. I wanted to know the Dataset format required for training and then finetuning.
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Offline CartPole on infinitely long line?
I am tentatively exploring some RL research that involves doing offline RL on a version of the Gymnasium CartPole where the cart can move on $\mathbb R$, as opposed to the standard version (see link) ...
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What types of econometrics model is necessary for the tittles: determinants of farmers preference of species for smallholder homegarden agroforestry
What types of econometrics model is required for the tittle; determinants of farmers preferences of species in smallholder homegarden agroforestry
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Is it possible to get the source code for a research paper?
Is it possible to get the source code for a research paper?
In particular, I want to see the source for this paper https://arxiv.org/abs/2304.03442
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which journals accept an original idea on AI based face recognition tool as a conceptual paper
I have an original idea/concept for a new face recognition AI based tool. I do not want to patent it but wish to publish it as a conceptual paper, that is to share the original concept. which journals ...
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Change in the Structure of Deep Associative Networks since their Inception
I am trying to understand how far associative networks have evolved from the Hopfield network. A lot of the research is only available to institutions which is why I deferred to this stack exchange. ...
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Computational overhead of "SCALING FORWARD GRADIENT WITH LOCAL LOSSES"
The paper "SCALING FORWARD GRADIENT WITH LOCAL LOSSES" discusses a new way of training deep neural networks called forward gradient learning. This method is different from the traditional ...
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Difficulty in coding research papers [closed]
I understood how Yolov1 works but finding difficulty in coding it. How should I proceed?
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Why would an AI researcher publish their breakthrough models solely on arxiv?
My question is in general why would an AI researcher choose to publish solely on arxiv, and what are the downsides and upsides?
I understand on the one hand arxiv allows for rapid release of results. ...
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As a intermediate in Deep Learning, from which research paper should I start reading from? [closed]
I have done Andrew Ng's ML and DL courses, and some projects and implemented some important ML algorithms from scratch. Now reading the deep learning book. <=(Edited)
I want to start from the ...
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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-...
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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 ...
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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 ...
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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 ...
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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 ...
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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?
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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, ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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?
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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 ...
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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 ...
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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.
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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 ...
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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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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 ...
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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
...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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, ...
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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?
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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?
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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 ...
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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 ...
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