A. Jiang

Artificial Intelligence · with Liu · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 7 citations into it

Whom A. Jiang trusts overall

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

1. Paul J. Werbos
2. Diederik P. Kingma
3. Sergey Ioffe
4. Geoffrey E. Hinton
5. Alex Graves
6. Nitish Srivastava
7. Jimmy Ba
8. Christian Szegedy
9. Alex Krizhevsky
10. Yoshua Bengio

Papers from A. Jiang's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Long Short-Term Memory
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Dropout: a simple way to prevent neural networks from overfitting
7. Gradient-based learning applied to document recognition
8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• LSTM-Based EEG Classification in Motor Imagery Tasks (2018) — 322 citations