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@therewillbecode
Last active Aug 30, 2020
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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)

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