/ML-Research-Made-Easy

Link of ML papers to their blogs/ supplementary material

Machine Learning papers to their blogs

HEADER

This repository provides Machine Learning papers with their supplementary material links. Given the fast paced research in the field resorting to blogs for getting an idea of the paper and then deciding whether to invest the time on reading the paper looks like a wise approach.

Caution : Don't understand this as a subtitute to reading papers but just for getting an idea of the paper and saving time by not going into the math directly.

This is an attempt to make one stop for all types of machine learning papers and their easy to read blogs. If you feel you have some blogs that you want to be featured here, let me know.

This summary is categorized into:

NLP

Title Conf supplementary material
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding ArXiv Google Blog, Code, Medium

1. Natural Language Inference

Leader board:

Stanford Natural Language Inference (SNLI)

MultiNLI

LSTM Colah , Andrej karpathy

Title Conf supplementary material
Subword Semantic Hashing for Intent Classification on Small Datasets ArXiv Blog

2. Question Answering

Leader Board

SQuAD

Computer Vision

Title Conf supplementary material
Video-to-Video Synthesis NIPS video, Blog, Reddit
SSD: Single Shot MultiBox Detector ECCV video, Blog,Pytorch
Capsule Networks ArXiv Blog, Blog Series
GAN ArXiv Blog, Video,Other gans,Gan blog series
deep clustering for unsupervised learning of visual features ECCV Blog, Reddit
You Only Look Once: Unified, Real-Time Object Detection ArXiv [Blog] (https://medium.com/@krishamehta/8-you-only-look-once-unified-real-time-object-detection-3a56e333b206), Tensorflow tutorial youtube
Large-scale Video Classification with Convolutional Neural Networks CVPR [Medium] (https://towardsdatascience.com/introduction-to-video-classification-6c6acbc57356)

Speech

Speech SOTA
Music Genre classification

Semi Supervised Learning

Title Conf supplementary material
Snorkel ArXiv Blog, Stanford

Supervised Learning

Medical data
Batch Normalization

Title Conf supplementary material
Faster R-CNN ArXiv Blog

Adversarial Learning

Title Conf supplementary material
Adversarial Shperes ArXiv Blog
DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules NeurIPS Blog

Optimizers

Title Conf supplementary material
Adam ArXiv Medium

Bayesian Networks

Title Conf supplementary material
Bayesian Convolutional Neural Networks with Variational Inference ArXiv Blog
Local Reparameterization Trick ArXiv Blog
Bayes by Backprop ArXiv Blog

Generative Networks

Title Conf supplementary material
DCGAN ArXiv Blog
Self-Attention GAN ArXiv Blog
Progressive GAN ArXiv Blog
Cycle GAN ArXiv Blog