amit1nayak/readings

A collection of some nice papers/research articles.

Jump To -

CNNs

Blogs,etc

GANs

NLP

Reinforcement Learning

Attacks on ML Models

Privacy in ML

Convolutional Neural Networks

Dynamic Routing Between Capsules

How to double dip into your holdout set

MMdnn - Microsoft framework for converting models from framework to framework

Variational Dropout Sparsifies Deep Neural Networks Code

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Going Deeper with Convolutions

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Rethinking the Inception Architecture for Computer Vision

Interesting Blog Posts and Quora Answers

Colah's Visualizing MNIST

Great Blog Post about GANS by Nvidia

Generative Adversarial Networks

Super Awesome list of GAN papers and their code

A tutorial on Energy based Learning

Generative Visual Manipulation on the Natural Image Manifold

Connecting Generative Adversarial Networks and Actor-Critic Methods

Wasserstein GAN

Learning from Simulated and Unsupervised Images through Adversarial Training

Adversarial Feature Matching for Text Generation Code

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial NetworksPyTorch Code

Reinforcement Learning

Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Adversarial Attacks

Adversarial Patch

CleverHans, benchmarking tool for ML model robustness against adversarial attacks

Privacy in Machine Learning

Deep Learning With Differential Privacy

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

Membership Inference Attacks Against Machine Learning Models

The reusable holdout: Preserving validity in adaptive data analysis

Scalable Private Learning with PATE

[Eye In-Painting with Exemplar Generative Adversarial Networks] [Paper][Introduction][Tensorflow code](CVPR2018)

[Eye In-Painting with Exemplar Generative Adversarial Networks] [Paper][Introduction][Tensorflow code](CVPR2018)

[Generative Image Inpainting with Contextual Attention] [Paper][Project][Demo][YouTube][Code](CVPR2018)

NLP/Language Modeling with NNs

Fast Text Introduction Code

UNSUPERVISED NEURAL MACHINE TRANSLATION Code SUBWORD LANGUAGE MODELING WITH NEURAL NETWORKS

Data Noising as Smoothing in Neural Network Language Models

Highway Networks