Stephen Koo

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Model Architectures — 14 citations into it

Whom Stephen Koo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Graves

Papers from Stephen Koo's perspective

Ordered by how strongly the researchers Stephen Koo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Layer Normalization
3. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Sequence Transduction with Recurrent Neural Networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
8. Practical Variational Inference for Neural Networks
9. ImageNet classification with deep convolutional neural networks
10. Long short-term memory recurrent neural network architectures for large scale acoustic modeling

Their papers

• Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss (2020) — 539 citations