Justin K. Terry

Artificial Intelligence · 2019–2020

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

Subfields

• Artificial Intelligence — 59 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it

Whom Justin K. Terry trusts overall

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

1. John Schulman
2. Volodymyr Mnih
3. David Silver
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Jayesh K. Gupta
7. Jakob N. Foerster
8. Richard S. Sutton
9. Timothy P. Lillicrap
10. Diederik P. Kingma

Who trusts Justin K. Terry overall

1. Wenhao Li
2. Chao Yu
3. Xiangfeng Wang

Papers from Justin K. Terry's perspective

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

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

Their papers

• Revisiting Parameter Sharing in Multi-Agent Deep Reinforcement Learning (2020) — 105 citations
• PettingZoo: Gym for Multi-Agent Reinforcement Learning (2020) — 447 citations
• Understanding Generalization through Visualizations (2019) — 93 citations