Wei Dai

Artificial Intelligence · with Dai · 2016

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Signal Processing — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Wei Dai trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Christian Szegedy
5. Karen Simonyan
6. Kaiming He
7. Yoshua Bengio
8. Sergey Ioffe
9. Ilya Sutskever
10. Karol J. Piczak

Who trusts Wei Dai overall

1. Sajjad Abdoli
2. David W. Romero
3. Zied Elloumi
4. Sören Becker
5. Qiuqiang Kong
6. Emadeldeen Eldele
7. Patrick Cardinal
8. Erik J. Bekkers

Papers from Wei Dai's perspective

Ordered by how strongly the researchers Wei Dai 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Very deep convolutional neural networks for raw waveforms (2016) — 392 citations