Jiayi Wei

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #24,986 of 35,345 by trust here, #23,077 by citations

Whom Jiayi Wei trusts overall

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

1. Oriol Vinyals
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Veselin Raychev
5. X. Wang
6. Diederik P. Kingma
7. Ali Farhadi
8. Rabee Sohail Malik
9. Gavin M. Bierman
10. Yujia Li

Who trusts Jiayi Wei overall

1. Federico Cassano
2. Luna Phipps-Costin
3. Kevin Jesse
4. Amir M. Mir
5. David Bieber
6. Irene Vlassi Pandi
7. John Peter Campora III
8. Yu Wang
9. Charles Sutton
10. Daniel Fried

Papers from Jiayi Wei's perspective

Ordered by how strongly the researchers Jiayi Wei 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• LambdaNet: Probabilistic Type Inference using Graph Neural Networks (2020) — 119 citations