Alexander Yin

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Reinforcement Learning — 32 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it

Whom Alexander Yin trusts overall

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

1. Diederik P. Kingma
2. Richard S. Sutton
3. Geoffrey E. Hinton
4. Dean A. Pomerleau
5. Sergey Levine
6. John Schulman
7. E. Todorov
8. Jimmy Ba
9. Alex Krizhevsky
10. Yuke Zhu

Papers from Alexander Yin's perspective

Ordered by how strongly the researchers Alexander Yin 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. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Proximal Policy Optimization Algorithms (arXiv.org)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks (2019) — 154 citations