Brian King

Artificial Intelligence · 2021

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

Subfields

• Artificial Intelligence — 8 citations into it
• Model Architectures — 5 citations into it

Whom Brian King trusts overall

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

1. Alex Graves

Papers from Brian King's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Sequence Transduction with Recurrent Neural Networks
3. QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
4. Top Downloads in IEEE Xplore [Reader's Choice]
5. Neural Network Adaptive Beamforming for Robust Multichannel Speech Recognition
6. Neural network based spectral mask estimation for acoustic beamforming (IEEE International Conference on Acoustics, Speech, and Signal Processing)
7. Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition
8. High-resolution frequency-wavenumber spectrum analysis
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet classification with deep convolutional neural networks

Their papers

• Attention-based Neural Beamforming Layers for Multi-channel Speech Recognition (2021)