Tiantian Zhang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Reinforcement Learning — 23 citations into it

Whom Tiantian Zhang trusts overall

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

1. Richard S. Sutton
2. Diederik P. Kingma
3. Hado van Hasselt
4. Geoffrey E. Hinton
5. Friedemann Zenke
6. Siavash Golkar
7. Yoshua Bengio
8. Volodymyr Mnih
9. David Silver
10. Alex Krizhevsky

Papers from Tiantian Zhang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation (2021) — 27 citations