Maxwell Horton
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 127 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it; #32,255 of 35,345 by trust here, #13,544 by citations
- Computer Vision and Pattern Recognition — 40 citations into it; #19,812 of 21,575 by trust here, #9,305 by citations
- Optimization & Training — 25 citations into it
- Model Architectures — 13 citations into it
Whom Maxwell Horton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Christian Szegedy
- Yann LeCun
- Sergey Ioffe
- Yoshua Bengio
- Diederik P. Kingma
- Karen Simonyan
- Ilya Sutskever
Who trusts Maxwell Horton overall
Papers from Maxwell Horton's perspective
Ordered by how strongly the researchers Maxwell Horton 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Label Refinery: Improving ImageNet Classification through Label Progression (2018) — 201 citations
- Learning Neural Network Subspaces (2021) — 104 citations