Skip to content

Instantly share code, notes, and snippets.

@therewillbecode
Last active August 30, 2020 08:32
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
Star You must be signed in to star a gist
Save therewillbecode/fa2a9aec11904bfee2f10c7b5d76a5d2 to your computer and use it in GitHub Desktop.
Papers I like

AI/ML

Automated Theoreom Proving

https://www.youtube.com/watch?v=OLxbIXwpMes

Autoformalisation

https://research.google/pubs/pub49351/

Game theory

Imperfect game play with counterfactual regret minimisation https://www.cs.cmu.edu/~noamb/papers/19-Science-Superhuman.pdf

Continual / Representational Learning

Representation learning is concerned with training machine learning algorithms to learn useful representations, e.g. those that are interpretable, have latent features, or can be used for transfer learning.

Continual Unsupervised Representation Learning http://papers.nips.cc/paper/8981-continual-unsupervised-representation-learning.pdf

Graph Based Knowledge representation

NLP

Transformers

Distributional semantics

code2vec https://arxiv.org/pdf/1803.09473.pdf

Language Model

https://www.math3ma.com/blog/language-modeling-with-reduced-densities

Felix Hill - Grounded Language Learning in a Simulated 3D World https://arxiv.org/pdf/1706.06551.pdf

https://thegradient.pub/how-to-stop-worrying-about-compositionality-2/

“I reject the contention that an important theoretical difference exists between formal and natural languages.” (Montague, 1970)

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment