George van den Driessche

TL;DR: Using this search algorithm, the program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the human European Go champion by 5 games to 0.5, the first time that a computer program has defeated a human professional player in the full-sized game of Go.

TL;DR: An algorithm based solely on reinforcement learning is introduced, without human data, guidance or domain knowledge beyond game rules, that achieves superhuman performance, winning 100–0 against the previously published, champion-defeating AlphaGo.

TL;DR: A novel deep learning architecture performs device-independent tissue segmentation of clinical 3D retinal images followed by separate diagnostic classification that meets or exceeds human expert clinical diagnoses of retinal disease.

TL;DR: This paper trains a predicted compute-optimal model, Chinchilla, that uses the same compute budget as Gopher but with 70B parameters and 4 × more more data, and reaches a state-of-the-art average accuracy on the MMLU benchmark.

TL;DR: The authors introduced Probability Density Distillation, a new method for training a parallel feed-forward network from a trained WaveNet with no significant difference in quality, which is capable of generating high-fidelity speech samples at more than 20 times faster than real-time, and is deployed online by Google Assistant.