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  The Master Algorithm
  A comprehensive overview of the entire field of Machine Learning that is better than most of the book on the topic. Author also explores an idea, related to his scientific research, of a master algorithm which could explain everything given enough data.
  Sep 22, 2015

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• Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure
  The article builds a bridge between the Gestalt principles in human perception (describing how visual elements are interpreted) and convolutional neural networks modeling. It suggests that a single principle - adoption to the statistical structure of the environment might suffice to explain perceptual mechanisms.
  Apr 9, 2021
• Playing hard exploration games by watching YouTube
  The method to map unaligned videos from multiple sources to a common representation using self-supervised objectives constructed over both time and modality (i.e. vision and sound). The embedding of YouTube videos to construct a reward function that encourages an agent to imitate human gameplay
  May 29, 2018
• Attention Is All You Need
  Articles proposes a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. The model achieves 28.4 BLEU on the WMT 2014 English- to-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU. The Transformer also generalizes well to other tasks.
  Dec 15, 2017