Courtney J. Spoerer
Cognitive Neuroscience · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 39 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Artificial Intelligence — 16 citations into it
- Neuroscience — 6 citations into it
Whom Courtney J. Spoerer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Nikolaus Kriegeskorte
- Geoffrey E. Hinton
- Diederik P. Kingma
- Karen Simonyan
- Ilya Sutskever
- Yoshua Bengio
- Kaiming He
- Andrew Zisserman
- Jimmy Ba
Who trusts Courtney J. Spoerer overall
Papers from Courtney J. Spoerer's perspective
Ordered by how strongly the researchers Courtney J. Spoerer trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet Large Scale Visual Recognition Challenge
- 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
Their papers
- Individual differences among deep neural network models (2020) — 181 citations
- Recurrence is required to capture the representational dynamics of the human visual system (2019) — 405 citations