Sam Powers
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 57 citations into it
- Reinforcement Learning — 40 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it
Whom Sam Powers trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Richard S. Sutton
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Marc G. Bellemare
- Yann LeCun
- Kaiming He
- Oriol Vinyals
- Ilya Sutskever
Who trusts Sam Powers overall
Papers from Sam Powers's perspective
Ordered by how strongly the researchers Sam Powers trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)