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.
6 points
0 issues
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).
7 points
0 issues
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.
24 points
0 issues
@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
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
@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
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.
5 points
0 issues
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
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”.
5 points
0 issues
Erica Mock
Probing The Full Monty Hall Problem
Probing The Full Monty Hall Problem
A tutorial on the Monty Hall problem in statistics.
7 points
0 issues
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
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.
8 points
0 issues
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
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.
4 points
0 issues
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