Andrew Clark
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 55 citations into it
- Reinforcement Learning — 31 citations into it
- Safety, Robustness & Interpretability — 25 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Information Systems — 5 citations into it
Whom Andrew Clark trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Richard S. Sutton
- Christian Szegedy
- Karen Simonyan
- Yoshua Bengio
- Ilya Sutskever
- Kaiming He
- Diederik P. Kingma
- Yann LeCun
Papers from Andrew Clark's perspective
Ordered by how strongly the researchers Andrew Clark trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)