Kean K. Chin
Signal Processing · 2013–2017
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 32 citations into it; #4,543 of 7,572 by trust here, #1,629 by citations
- Artificial Intelligence — 31 citations into it; #21,986 of 35,345 by trust here, #11,921 by citations
Whom Kean K. Chin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Li Deng
- Tara N. Sainath
- Daniel Povey
- Dong Yu
- Simon Justin Julier
- Rogier van Dalen
- Geoffrey E. Hinton
- A. Acero
- Yoshua Bengio
Who trusts Kean K. Chin overall
Papers from Kean K. Chin's perspective
Ordered by how strongly the researchers Kean K. Chin trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Understanding the difficulty of training deep feedforward neural networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Large Scale Distributed Deep Networks
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Joint Uncertainty Decoding for Noise Robust Subspace Gaussian Mixture Models (2013) — 15 citations
- Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home (2017) — 247 citations
- Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition (2017) — 213 citations