Need help with AI-reading-list?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.
m0nologuer

Description

Up to date list of the most interesting papers in AI

125 Stars 26 Forks 3 Commits 1 Opened issues

Services available

Need anything else?

AI-reading-list

This is my personal list of current AI papers I'm reading/ have yet to read. Just things I think point in interesting directions, or topics I'm interested in.

General

Tensorflow - Google's large scale infrastructure project

Representation learning - survey paper on representation methods

Adversarial Networks - framework for generation

Neural Turing Machine

RNN structures

LTSM - long term short term memory

Memory Networks - on adding memory storage

End to End Memory networks - Facebook's memory storage

Neural Programmer - on adding basic artithmetic operations

Spatial Transformer - DeepMind digit classification

Deep Speech - speech implementation

Word Vectors

word2vec - on creating vectors to represent language, useful for RNN inputs

sense2vec - on word sense disambiguation

Infinite Dimensional Word Embeddings - new

Skip Thought Vectors - word representation method

Adaptive skip-gram - similar approach, with adaptive properties

Natural Language

Neural autocoder for paragraphs and documents - LTSM representation

LTSM over tree structures

Sequence to Sequence Learning - word vectors for machine translation

Teaching Machines to Read and Comprehend - DeepMind paper

Convolutional neural nets

DRAW- An RNN for image classfication

ImageNet Classification - popular paper

A Neural Algorithm of Artistic Style - popular papeer

Generative Adversarial Networks - unsupervised learning to generate images

Tutorials

LTSM RNN in Python

Tensorflow Tutorials

K-Means with Tensorflow

Datasets

DeepMind Q&A Corpus

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.