Charles Packer

Artificial Intelligence · with Song · 2018

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

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

Whom Charles Packer 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 Charles Packer overall

1. Xin Ye
2. Christos Kaplanis
3. Jixiang Guo
4. Kimin Lee
5. Jianlong Chang
6. Xinbang Zhang
7. Xin He
8. Ossama Ahmed
9. Yunyang Xiong
10. Yezhou Yang

Papers from Charles Packer's perspective

Ordered by how strongly the researchers Charles Packer 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. 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

• Assessing Generalization in Deep Reinforcement Learning (2018) — 279 citations
• Differentiable Neural Network Architecture Search (2018) — 94 citations