Kyunghyun Cho
NYU professor and co-author of the paper introducing attention
A professor at NYU and co-author of the 2014 attention paper, as well as foundational work on encoder–decoder models for translation.
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Recommended next
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Practical Deep Learning for Coders (fast.ai)
Top-down deep learning course using PyTorch, covering computer vision, NLP, and model deployment. Assumes existing Python basics.
Why this: Also about deep learning
Deep Learning Specialization (DeepLearning.AI)
Five-course series on neural networks, convolutional and sequence models, and how to structure ML projects.
Why this: Also about deep learning
Yoshua Bengio
Deep learning pioneer and Turing Award winner, now focused on AI risk. His site holds papers, talks and written positions; his Google Scholar list has the full publication record, most-cited first.
Why this: Also about deep learning
Geoffrey Hinton's Publications (Google Scholar)
Google Scholar profile listing Geoffrey Hinton's papers in citation order — backpropagation, dropout, AlexNet, t-SNE and the rest of the deep learning canon.
Why this: Also about deep learning