Hi There!
This is my digital garden for all things related to deep learning, machine learning, algorithms, maths, food and everything else!
I am a Principal Research Scientist @whiterabbit.ai, Photography Enthusiast, and a Foodie!
RECENT NEWS/UPDATES
- 10 April 2021Truely Sparse Object Detection: Sparse R-CNNA purely sparse method for object detection in images. A fixed set of learned object proposals, total length of N, are used, thus eleiminating upto hundreds of thousands had designed candidate proposals.
- 5 April 2021UPDATE: A more reactive site and blog with gatsbyUpdated this blog site to use gatsby! Allows me to add many react components in pages and provide a more interactive experience.
- 23 January 2021How do you measure trust in deep learning?Whether it’s diagnosing patients or driving cars, we want to know whether we can trust a person before assigning them a sensitive task. In the human world, we have different ways to establish and measure trustworthiness.
- 4 January 2021Data-efficient image TransformersImage classification — the task of understanding the main content of an image — is easy for humans but hard for machines. In particular, it is challenging for convolution-free Transformers like DeiT...
INTERESTING WRITINGS
YOLO-v4 Object Detector
Object detection is useful for understanding what's in an image, describing both what is in an image…
July 5th 2020Deep Learning, Machine Learning, Review
Evaluating Comet for Managing Pytorch Based Deep Learning Experiments
Managing multiple research experiments at a time can be overwhelming. The same applies to deep…
April 20th 2019Deep Learning, Machine Learning
An Overview of Linear Regression Models
Modeling the relationship between a scalar response (or dependent variable) and one or more…
December 24th 2018Machine Learning, Algorithms
A Practical guide to Autoencoders using Keras
Usually in a conventional neural network, one tries to predict a target vector y from input…
April 26th 2018Deep Learning, Machine Learning, Algorithms
Understanding Boosted Trees Models
In the previous post , we learned about tree based learning methods - basics of tree based models…
August 31st 2017Machine Learning, Algorithms
RECENT PUBLICATIONS
2021
An improved mammography malignancy model with self-supervised learning
Nhi Truong Vu,Trevor Tsue,Jason Su,Sadanand SinghA Multisite Study of a Breast Density Deep Learning Model for Full-Field Digital Mammography and Synthetic Mammography
Thomas P. Matthews,Sadanand Singh,Brent Mombourquette,Jason Su,Meet P. Shah,Stefano Pedemonte,Aaron Long,David Maffit,Jenny Gurney,Rodrigo Morales Hoil,Nikita Ghare,Douglas Smith,Stephen M. Moore,Susan C. Marks,Richard L. Wahl
2020
Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis
Sadanand Singh,Thomas P. Matthews,Meet Shah,Brent Mombourquette,Trevor Tsue,Aaron Long,Ranya Almohsen,Stefano Pedemonte,Jason SuA hypersensitive breast cancer detector
Stefano Pedemonte,Brent Mombourquette,Alexis Goh,Trevor Tsue,Aaron Long,Sadanand Singh,Thomas P. Matthews,Meet Shah,Jason Su