Jianyu Su

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• LLM Agents & Tool Use — 5 citations into it

Whom Jianyu Su trusts overall

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

1. Benjamin Y. Choo
2. Yoshua Bengio
3. Sainbayar Sukhbaatar
4. Volodymyr Mnih
5. Jakob N. Foerster
6. Stephen C. Adams
7. Geoffrey E. Hinton
8. Ronald J. Williams
9. Alex Graves
10. Rob Fergus

Who trusts Jianyu Su overall

1. Bernhard Schölkopf

Papers from Jianyu Su's perspective

Ordered by how strongly the researchers Jianyu Su 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. 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

• Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication (2020) — 28 citations