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Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server. Latest release v3.4.4
Splash Page
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Posts
Discobox: Weakly supervised Instance Segmentation and Semantic Correspondence from Box Supervision
Abstract
Ghost of 3D Perception: Permutation Invariance Matters? Convolutions are Permutation Invariant!
Are you familiar with the python dictionary class? Let me give you a quick test to check your level of knowledge.
Faster Neural Radiance Fields Inference
The Neural Radiance Fields (NeRF) proposed an interesting way to represent a 3D scene using an implicit network for high fidelity volumetric rendering. Compa...
Setting Class Attributes in Python
Setting class attributes in python can be tedious. In this post, I want to summarize a trick that I’ve been using to simplify this process.
Switching to Visual Studio Code
I’ve been using VIM for most of my Ph.D. years and one of the reasons why I stick with VIM is that I could just ssh to a remote server and recover environmen...
Misconceptions about Memory and Good Documentation
Documentation probably is one of the most important tasks that no one has time for. I also overlook the importance as I get swept by a series of projects and...
Pytorch Extension with a Makefile
Pytorch is a great neural network library that has both flexibility and power. Personally, I think it is the best neural network library for prototyping (adv...
Short Note on Matrix Differentials and Backpropagation
Mathematical notation is the convention that we all use to denote a concept in a concise mathematical formulation, yet sometimes there is more than one way t...
Regression vs. Classification: Distance and Divergence
In Machine Learning, supervised problems can be categorized into regression or classification problems. The categorization is quite intuitive as the name ind...
Data Processing Inequality and Unsurprising Implications
We have heard enough about the great success of neural networks and how they are used in real problems. Today, I want to talk about how it was so successful ...
Learning Gaussian Process Covariances
A Gaussian process is a non-parametric model which can represent a complex function using a growing set of data. Unlike a neural network, which can also lear...
Expectation Maximization and Variational Inference (Part 2)
In the previous post, we covered variational inference and how to derive update equations. In this post, we will go over a simple Gaussian Mixture Model with...
Expectation Maximization and Variational Inference (Part 1)
Statistical inference involves finding the right model and parameters that represent the distribution of observations well. Let $\mathbf{x}$ be the observati...
Universal Correspondence Network
TL;DR: Universal Correspondence Network proposed the first fully convolutional way to learn contrastive embeddings for correspondences.
Caffe Python Layer
Python layer in Caffe can speed up development process Issue1703
Gentle Introduction to Gaussian Process Regression
Parametric Regression uses a predefined function form to fit the data best (i.e, we make an assumption about the distribution of data by implicitly modeling ...
Reading protobuf DB in Python
Reading protobuf DB in python
Barycentric Coordinate for Surface Sampling
Fast way to sample points on a triangular mesh
Making a Caffe Layer
Caffe is one of the most popular open-source neural network frameworks. It is modular, clean, and fast. Extending it is tricky but not as difficult as extend...
Computing Neural Network Gradients
Gradient propagation is the crucial method for training a neural network
docs
Quick-Start Guide
How to quickly install and setup Minimal Mistakes for use with GitHub Pages.
Structure
How the theme is organized and what all of the files are for.
Installation
Instructions for installing the theme for new and existing Jekyll based sites.
Upgrading
Instructions and suggestions for upgrading the theme.
Configuration
Settings for configuring and customizing the theme.
Navigation
Instructions on how to customize the main navigation and enabling breadcrumb links.
UI Text
Text for customizing various user interface elements found in the theme.
Authors
Instructions and settings for working with multiple site authors.
Layouts
Descriptions and samples of all layouts included with the theme and how to best use them.
Working with Posts
Suggestions and Front Matter defaults for working with posts.
Working with Pages
Suggestions and Front Matter defaults for working with pages.
Working with Collections
Suggestions and Front Matter defaults for working with collections.
Helpers
Jekyll _includes and other helpers to use as shortcuts for creating archives, galleries, table of contents, and more.
Utility Classes
CSS classes for aligning text/image, styling buttons and notices, and more.
Stylesheets
Instructions for customizing and building the theme’s stylesheets.
JavaScript
Instructions for customizing and building the theme’s scripts.
History
Changelog of enhancements and bug fixes made to the theme.
Contributing
How you can contribute to make this theme better.
2.2 Documentation
Setup and installation instructions for Minimal Mistakes 2.2 (deprecated).
License
License for Minimal Mistakes Jekyll Theme.
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Foo Bar Identity
Foo Bar design system including logo mark, website design, and branding applications.