Kimberly L. Stachenfeld

Artificial Intelligence · with Bapst · 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 — 32 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Reinforcement Learning — 24 citations into it

Whom Kimberly L. Stachenfeld trusts overall

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

1. Richard S. Sutton
2. Geoffrey E. Hinton
3. David Silver
4. Yoshua Bengio
5. Diederik P. Kingma
6. Razvan Pascanu
7. Peter W. Battaglia
8. Rémi Coulom

Papers from Kimberly L. Stachenfeld's perspective

Ordered by how strongly the researchers Kimberly L. Stachenfeld 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Human-level control through deep reinforcement learning
8. ImageNet: A large-scale hierarchical image database
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

• Structured agents for physical construction (2019) — 107 citations