Most cited deep learning papers

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August undefined, 2024

WebMost cited deep learning research paper in the journal, Neurocomputing [Archive link] (2nd highest Google Scholar Impact over all neural network journals worldwide), 2024. Best Paper on List of 100 Top Multimedia Papers of the ACM SIG-Multimedia, 2008 (ACM SIGMM Record) WebMentioning: 156 - In this survey paper, we systematically summarize existing literature on bearing fault diagnostics with machine learning (ML) and data mining techniques. While conventional ML methods, including artificial neural network (ANN), principal component analysis (PCA), support vector machines (SVM), etc., have been successfully applied to …

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WebHere are the 20 most important (most-cited) scientific papers that have been published since 2014, starting with "Dropout: a simple way to prevent neural networks from … WebRecently, deep learning-based FER models have suffered from various technological issues like under-fitting or over-fitting. It is due to either insufficient training and expression data. Motivated from the above facts, this paper presents a systematic and comprehensive survey on current state-of-art Artificial Intelligence techniques (datasets and algorithms) … the perfect touch rentals

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WebMay 27, 2015 · A deep-learning architecture is a multilayer stack of simple modules, all (or most) of which are subject to learning, and many of which compute non-linear input–output mappings. Each module in ... Web- Introduced topic modeling for unsupervised learning of human action categories, resulting in one of the most cited papers in computer vision for video understanding in the pre … WebMar 4, 2024 · In this paper, the authors show how XGBoost can match or out-perform deep learning solutions on various tabular datasets, with and without tuning. Plus, it shows … the perfect touch az

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WebDec 26, 2024 · The paper with the most citations per year is a recent one on the much deeper ResNet which won ImageNet 2015: K He, X Zhang, S Ren, J Sun. Deep Residual Learning for Image Recognition. CVPR 2016 (36k; 18k in 2024) Remarkably, such “contest-winning deep GPU-based CNNs” can also be traced back to the Schmidhuber lab. WebFive major deep learning papers by G. Hinton did not cite similar earlier work by J. Schmidhuber. [R5] Reddit/ML, 2024. The 1997 LSTM paper by Hochreiter & Schmidhuber has become the most cited deep learning research paper of the 20th century. [R6] Reddit/ML, 2024. the perfect touch houston event planningWebMay 28, 2015 · The deep learning methodology applies nonlinear transformations and model abstractions of high level in large databases. Deep learning is a computer-based modeling approach, which is made up of ... the perfect touch car detailing columbus ohio

"WebWith the first R-CNN paper being cited over 1600 times, Ross Girshick and his group at UC Berkeley created one of the most impactful advancements in computer vision. As evident by their titles, Fast R-CNN and Faster R-CNN worked to make the model faster and better suited for modern object detection tasks. " - Most cited deep learning papers

Most cited deep learning papers

Research Papers in Machine Learning SpringerLink

WebA History-based Framework for Online Continuous Action Ensembles in Deep Reinforcement Learning. DOI: 10.5220/0010199005800588 In Proceedings of the 13th International Conference on Agents and Articial Intelligence (ICAART 2024) - … WebUnderstanding / Generalization / Transfer. Optimization / Training Techniques. Unsupervised / Generative Models. Convolutional Network Models. Image Segmentation …

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WebMay 15, 2024 · And the reason for that is even more sad - most of so-called deep learning research papers just describing some empirical experiments, without any math and proving any theorem, and so it's easy to cheat. ... .. it's unlikely to become a really impactful paper, a widely-cited one. WebFor most of you who have ever done any introduction to computer science course, one of the first things you learn is that a computer system is not intelligent… Selorm Branttie on LinkedIn: #machinelearning #deeplearning #computerscience

WebOct 1, 2024 · This NLP research paper describes a new method, DeFINE, for learning deep token representations efficiently. The architecture uses a hierarchical structure with novel skip-connections which allows for the use of low dimensional input and output layers, reducing total parameters and training time while delivering similar or better performance … WebMay 28, 2024 · Photo by Dan Dimmock on Unsplash. Important Machine Learning and Deep Learning Papers in 2024. Machine Learning suddenly became one of the most …

A curated list of the most cited deep learning papers (2012-2016) We believe that there exist classic deep learning papers which are worth reading regardless of their application domain. Rather than providing overwhelming amount of papers, We would like to provide a curated list of the awesome deep learning … See more WebJul 16, 2024 · It lets us both understand that things work and why. This paper is a difficult read but a great survey of such a theory of deep learning. “The Lottery Ticket …

WebOct 12, 2024 · 1. Agarap AF (2024) Deep learning using rectified linear units (relu). arXiv: 1803.08375 Google Scholar 2. Ali N Neagu D Trundle P Evaluation of k-nearest neighbour classifier performance for heterogeneous data sets SN Appl Sci 2024 1.12 1 15 Google Scholar; 3. Almaghrabi M, Chetty G (2024) A deep learning based collaborative neural …

WebDec 6, 2024 · Data Scientist at Shell. Postdoctoral Associate at Virginia Tech Advanced Research Institute, Ph.D. in electrical engineering with a focus on new challenges in modern power systems and smart grids. the perfect tomahawk steakWebSep 1, 2013 · I have authored one of the most cited papers on facial landmark detection (~1500 citations to date), and one of the most popular online books on TensorFlow called Effective TensorFlow (8,000 ... the perfect touch dressesWebApr 21, 2024 · Awesome Deep Learning: Most Cited Deep Learning Papers 1. Understanding / Generalization / Transfer. 2. Optimization / Training Techniques. 3. … the perfect touch massageWebApr 14, 2024 · Deep learning is a subclass of machine learning that was inherited from artificial neural networks. In deep learning, high-level features can be learned through the layers. Deep learning consists of 3 layers: input, hidden, and output layers. The inputs can be in various forms, including text, images, sound, video, or unstructured data. the perfect touch monterey caWebFeb 16, 2024 · The most cited deep learning papers (github.com) 452 points by sdomino on Feb 15, 2024 hide past web favorite 47 comments: cr0sh on Feb 15, 2024. ... In a nutshell, its a deep learning model that given a word, predicts the other words around it, … the perfect touch saWebOct 1, 2024 · TL;DR: The most well-known deep learning models CNN, Inception-CNN, Bi-LSTM and GRU are presented and a systematic comparison of CNN and RNN on the deep learning-based intrusion detection systems is made, aiming to give basic guidance for DNN selection in MANET. Abstract: Deep learning is a subset of machine learning where … the perfect touch of homeWebWei Wu is an academic researcher from SenseTime. The author has contributed to research in topic(s): Video tracking & Deep learning. The author has an hindex of 24, co-authored 63 publication(s) receiving 4658 citation(s). Previous affiliations of Wei Wu include Nanyang Technological University & University of Science and Technology of China. sibor upload lisiting form