Aradhya Mathur

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Social Decision-Making: Insights from Game Theory and Neuroscience

Abstract<p>By combining the models and tasks of Game Theory with modern psychological and neuroscientific methods, the neuroeconomic approach to the …

If You Think Horror Movies Are Scary, Wait Until You Read These Novels

If you've ever wondered whether or not your love of horror movies and scary stories is creepy, this should give you some peace of mind: There's …

Reinforcement-Learning-Notebooks

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.<p>I wrote these …

Artifact Removal using Improved GoogLeNet for Sparse-view CT Reconstruction

Article |<p>Open | Published: 30 April 2018<p><i>Scientific Reports</i><b>volume 8</b>, Article number: 6700 (2018) | Download Citation<p>Abstract<p>Sparse-view Reconstruction …

Deep Learning

Android & TensorFlow: Artistic Style Transfer

The network we are importing is a result of a number of important developments. The first neural style transfer paper (Gatys, et al. 2015) introduced …

Attackers can fool AI programs. Here's how developers can fight back

Artificial intelligence isn’t all that different from natural intelligence. No matter how smart you are, you can be fooled. If the tricksters are …

Machine Learning

MIT 6.S191: Introduction to Deep Learning

MIT 6.S191: Introduction to Deep Learning is an introductory course offered formally offered at MIT and open-sourced on the course website. The class …

Introducing TensorFlow Probability

<i>Posted by: Josh Dillon, Software Engineer;</i> <i>Mike Shwe</i><i>, Product Manager; and</i> <i>Dustin Tran</i><i>, Research Scientist — on behalf of the TensorFlow Probability</i> …

Hierarchical attention networks for information extraction from cancer pathology reports | Journal of the American Medical Informatics Association

Objective<p>We explored how a deep learning (DL) approach based on hierarchical attention networks (HANs) can improve model performance for multiple …

25 Open Datasets for Deep Learning Every Data Scientist Must Work With

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Reinforcement Learning Cheat Sheet

<b>Disclaimer: This is a work in progress project there may be errors!</b><p>In order to fast recap my knowledge of Reinforcement Learning, I created this …

One Pixel Attack

How simple is it to cause a deep neural network to misclassify an image if an attacker is only allowed to modify the color of one pixel and only see …

10 Free Must-Read Machine Learning E-Books For Data Scientists & AI Engineers

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Learn Audio Beat Tracking for Music Information Retrieval (with Python codes)

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Video: Strange artefacts trigger wild theories about aliens once visiting Earth

The video has been viewed more than 150,000 times and has got the internet divided about the existence of extra-terrestrials.<p>Do aliens exist? Well, …

Normalizing Flows Tutorial, Part 1: Distributions and Determinants

<i>I'm looking for help translate these posts into different languages! Please email me at <myfirstname><mylastname>2004<at>gmail.com if you are</i> …

Suspended – Medium

Faster R-CNN: Down the rabbit hole of modern object detection

The input images are represented as \mathit{Height} \times \mathit{Width} \times \mathit{Depth} tensors (multidimensional arrays), which are passed …

Deep Learning

Introduction to Functional Programming in Python

Most of us have been introduced to Python as an <b>object-oriented</b> language; a language exclusively using classes to build our programs. While classes, …

Python Programming

How to solve 90% of NLP problems: a step-by-step guide

<b>This post is accompanied by</b> <b>an interactive notebook</b> <b>demonstrating and applying all these techniques. Feel free to run the code and follow along!</b><p>Step 1: …

Machine Learning

57 Summaries of Machine Learning and NLP Research

Staying on top of recent work is an important part of being a good researcher, but this can be quite difficult. Thousands of new papers are published …

Machine Learning

Fooling Speech Recognition With Hidden Voice Commands

It’s 2018, and while true hoverboards still elude humanity, some future predictions have come true. It’s now possible to talk to computers, and most …

Google Pixel

Classifying a Face as Happy/Unhappy and Face Recognition using a Pre-trained Deep Inception Network with Keras in Python

In this article couple of problems are going to be discussed. Both the problems appeared as assignments in the Coursera course <b>Convolution Neural</b> …

Machine Learning Trick of the Day (7): Density Ratio Trick

· Read in · 1481 words · All posts in series · A probability on its own is often an uninteresting thing. But when we can compare probabilities, that …

Tricking Neural Networks: Create your own Adversarial Examples

10 Jan 2018 | Daniel Geng and Rishi Veerapaneni<p>Assassination by neural network. Sound crazy? Well, it might happen someday, and not in the way you …

Deep Learning

Node.js + face-recognition.js : Simple and Robust Face Recognition using Deep Learning

The npm package for face recognition<p>In this article I am going to show you how to perform robust face detection and face recognition using</b> …

Machine Learning

Turning Design Mockups Into Code With Deep Learning

Within three years deep learning will change front-end development. It will increase prototyping speed and lower the barrier for building …