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× Something went wrong. Submit paper Submit paper Sign in Link copied to clipboard Pix Picks New About Kaichao You Event Camera: the Next Generation of Visual Perception System Event Camera: the Next Generation of Visual Perception System Event camera can extend computer vision to scenarios where it is currently incompetent. In the following decades, it is hopeful that event cameras will be mature enough to be mass-produced, to have dedicated algorithms, and to show up in widely-used products. 29 points 0 issues 4.9k views Srishti Saha Text Generation Models - Introduction and a Demo using the GPT-J model Text Generation Models - Introduction and a Demo using the GPT-J model The below article describes the mechanism of text generation models. We cover the basic model like Markov Chains as well the more advanced deep learning models. We also give a demo of domain-specific text generation using the latest GPT-J model. 26 points 0 issues 1.4k views Juntao Jiang Group Equivariant Convolutional Networks in Medical Image Analysis Group Equivariant Convolutional Networks in Medical Image Analysis This is a brief review of G-CNNs' applications in medical image analysis, including fundamental knowledge of group equivariant convolutional networks, and applications in medical images' classification and segmentation. 9 points 0 issues 1.3k views Eric Mockensturm Probing The Full Monty Hall Problem Probing The Full Monty Hall Problem A tutorial on the Monty Hall problem in statistics. 8 points 0 issues 2.5k views Kaichao You Co-Tuning: An easy but effective trick to improve transfer learning Co-Tuning: An easy but effective trick to improve transfer learning Transfer learning is a popular method in the deep learning community, but it is usually implemented naively (eg. copying weights as initialization). Co-Tuning is a recently proposed technique to improve transfer learning that is easy to implement, and effective to a wide variety of tasks. 5 points 0 issues 2.2k views Weihua He Spiking Neural Network : Towards Brain-inspired Computing Spiking Neural Network : Towards Brain-inspired Computing A brief introduction and discussion of the base of brain-inspired computing, spiking neural network (SNN). 9 points 1 issues 1.5k views Jintang Li Adversarial Learning on Graph Adversarial Learning on Graph This review gives an introduction to Adversarial Machine Learning on graph-structured data, including several recent papers and research ideas in this field. This review is based on our paper A Survey of Adversarial Learning on Graph”. 7 points 0 issues 2k views Srishti Saha High Dimension Data Analysis - A tutorial and review for Dimensionality Reduction Techniques High Dimension Data Analysis - A tutorial and review for Dimensionality Reduction Techniques This article explains and provides a comparative study of a few techniques for dimensionality reduction. It dives into the mathematical explanation of several feature selection and feature transformation techniques, while also providing the algorithmic representation and implementation of some other techniques. Lastly, it also provides a very brief review of various other works done in this space. 29 points 0 issues 2.1k views David McCaffary Towards continual task learning in artificial neural networks Towards continual task learning in artificial neural networks Critical appraisal of prominent current approaches to alleviating catastrophic forgetting in neural networks, drawing on inspiration from neuroscience. 7 points 0 issues 3k views Kaichao You A New Paradigm for Exploiting Pre-trained Model Hubs A New Paradigm for Exploiting Pre-trained Model Hubs It is often overlooked that the number of models in pre-trained model hubs is scaling up very fast. As a result, pre-trained model hubs are popular but under-exploited. Here a new paradigm is advocated to sufficiently exploit pre-trained model hubs. 8 points 0 issues 1.7k views @Tim.Fahlberg Using Mathpix and NaviLens to create accessible math flashcards Using Mathpix and NaviLens to create accessible math flashcards Students with print disabilities, due to blindness, low vision, learning disabilities or physical disabilities, can greatly benefit from accessible math flashcards and tutorials. Mathpix greatly reduces the amount of work required to create these by capturing text and math from a variety of sources making them ready for conversion to print or braille. 12 points 0 issues 1.1k views @lapostadialberto The use of Mathpix OCR with EDICO scientific editor to help blind Students in STEM education The use of Mathpix OCR with EDICO scientific editor to help blind Students in STEM education In this tutorial we'll show how Mathpix OCR is helpful to instantly transpose math and science assignments both in braille and speech. We'll use the free EDICO Scientific Editor to demonstrate how a math assignment can be imported using Mathpix technology, and how it can be solved using a Refreshable Braille Display. 5 points 0 issues 1k views Emil Junker Manipulative Attacks in Group Identification Manipulative Attacks in Group Identification This review provides an introduction to the group identification problem and gives an overview of the feasibility and computational complexity of manipulative attacks in group identification. 2 points 0 issues 356 views Jintang Li A Review of Trustworthy Graph Learning A Review of Trustworthy Graph Learning In this review, we will explore how to develop trustworthy graph neural networks (GNNs) models from different aspects. 26 points 0 issues 3.4k views That's everything! Take me back to the top. Welcome to Spectra Help share your knowledge and love of math, science, and engineering, with the Mathpix research community. Submit an article and get Mathpix Pro for a year. The current writing competition is open for submissions until January 1st, 2023. Spectra is powered by Mathpix. Pix Picks These are our best submissions, including but not limited to Spectra Writing Competition winners. Learn more about how Pix Picks are chosen. FAQ About Guidelines Terms Privacy Made with by Mathpix Copyright ©...