Ekapol Chuangsuwanich

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #22,380 of 35,345 by trust here, #29,412 by citations
• Signal Processing — 10 citations into it; #4,597 of 7,572 by trust here, #6,083 by citations

Whom Ekapol Chuangsuwanich trusts overall

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

1. Dong Yu
2. Tara N. Sainath
3. Mark John Francis Gales
4. Brian Kingsbury
5. Daniel Povey
6. George E. Dahl
7. Frank Torsten Bernd Seide
8. Matthew Gibson
9. Geoffrey E. Hinton
10. Hynek Hermansky

Who trusts Ekapol Chuangsuwanich overall

1. Fred Richardson
2. Tara N. Sainath
3. Douglas A. Reynolds
4. Bo Li

Papers from Ekapol Chuangsuwanich's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. A Fast Learning Algorithm for Deep Belief Nets
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Extracting deep neural network bottleneck features using low-rank matrix factorization (2014) — 71 citations