Zili Meng

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Reinforcement Learning — 20 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Optimization & Training — 5 citations into it

Whom Zili Meng trusts overall

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

1. Ronald J. Williams
2. Richard S. Sutton
3. Radford M. Neal
4. Hongzi Mao

Papers from Zili Meng's perspective

Ordered by how strongly the researchers Zili Meng 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. Human-level control through deep reinforcement learning
4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Trust Region Policy Optimization (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Learning scheduling algorithms for data processing clusters (2018) — 812 citations