Katelyn Gao

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Reinforcement Learning — 30 citations into it

Whom Katelyn Gao trusts overall

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

1. Richard S. Sutton
2. Diederik P. Kingma
3. John Schulman
4. Geoffrey E. Hinton
5. E. Todorov
6. Sergey Levine
7. Pieter Abbeel
8. Andrew Barto
9. Yan Duan
10. Aravind Rajeswaran

Who trusts Katelyn Gao overall

1. Xin Ye
2. Christos Kaplanis
3. Jixiang Guo

Papers from Katelyn Gao's perspective

Ordered by how strongly the researchers Katelyn Gao 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. Long Short-Term Memory
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. Human-level control through deep reinforcement learning
9. Asynchronous Methods for Deep Reinforcement Learning
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Assessing Generalization in Deep Reinforcement Learning (2018) — 279 citations