50 things I learned at NIPS 2016. I learned many things about AI and ML… | by Andreas Stuhlmüller

Linking pages

Why We Do Not Evolve Software? Analysis of Evolutionary Algorithms - PMC https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6287292/ 5 comments
GANs will change the world. It’s New Year’s 2017, so time to make… | by Nikolai Yakovenko | Medium https://medium.com/@Moscow25/gans-will-change-the-world-7ed6ae8515ca 0 comments

Linked pages

Image-to-Image Translation with Conditional Adversarial Networks https://phillipi.github.io/pix2pix/ 56 comments
Kaggle: Your Machine Learning and Data Science Community http://www.kaggle.com 45 comments
[1606.04474] Learning to learn by gradient descent by gradient descent http://arxiv.org/abs/1606.04474 45 comments
Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
http://rll.berkeley.edu/deeprlcourse/ 18 comments
Uncertainty in Deep Learning (PhD Thesis) | Yarin Gal - Blog | Cambridge Machine Learning Group http://mlg.eng.cam.ac.uk/yarin/blog_2248.html 14 comments
http://en.wikipedia.org/wiki/sagrada_fam%C3%ADlia 11 comments
The Allen AI Science Challenge | Kaggle https://www.kaggle.com/c/the-allen-ai-science-challenge 8 comments
Juergen Schmidhuber's home page - Universal Artificial Intelligence - AI - Deep Learning - Recurrent Neural Networks - Computer Vision - Object Detection - Image segmentation - GANs - Transformers with linearized self-attention - Goedel Machine - Theory of everything - Algorithmic theory of everything - Computable universe - Zuse's thesis - Universal learning algorithms - Universal search - Kolmogorov Complexity - Algorithmic information - Super Omega - Speed Prior - Independent component analysis - ICA - Financial forecasting - Evolution - Reinforcement learning - POMDPs - Reinforcement learning economy - Hierarchical learning - Metalearning - Learning to learn - Self-Improvement - Genetic programming - Attentive vision - Active exploration - Theory of beauty - Theory of creativity - Theory of Humor - Facial Attractiveness - Low-complexity Art - Lego Art https://people.idsia.ch/~juergen/ 8 comments
Politics isn’t about Policy - by Robin Hanson https://www.overcomingbias.com/2008/09/politics-isnt-a.html 5 comments
Bayesian Truth Serum – MIT Sloan Neuroeconomics Lab http://nel.mit.edu/bayesian-truth-serum 5 comments
[1602.02867] Value Iteration Networks https://arxiv.org/abs/1602.02867 5 comments
Long short-term memory - Wikipedia https://en.wikipedia.org/wiki/Long_short-term_memory 4 comments
tf–idf - Wikipedia https://en.wikipedia.org/wiki/Tf%E2%80%93idf 3 comments
k-nearest neighbors algorithm - Wikipedia https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm 1 comment
https://xgboost.readthedocs.io/en/latest/model.html 1 comment
[1412.6572] Explaining and Harnessing Adversarial Examples http://arxiv.org/abs/1412.6572 1 comment
Boston Dynamics | Changing Your Idea of What Robots Can Do http://www.bostondynamics.com/ 1 comment
ng-recipe · GitHub https://gist.github.com/stuhlmueller/d809bb7b4a9dc03bf75f695a0f3ea2e4 0 comments
Variational Autoencoders Explained http://kvfrans.com/variational-autoencoders-explained/ 0 comments