Matthew D. Mackay
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it; #28,515 of 35,345 by trust here, #27,551 by citations
- Optimization & Training — 21 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it; #17,514 of 21,575 by trust here, #17,757 by citations
- Model Architectures — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Mathematical Optimization — 5 citations into it
Whom Matthew D. Mackay trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Yoshua Bengio
- Geoffrey E. Hinton
- Yann LeCun
- Ronald J. Williams
- J. Urgen Schmidhuber
- Ilya Sutskever
- James Bergstra
- Sepp Hochreiter
- Diederik P. Kingma
Who trusts Matthew D. Mackay overall
Papers from Matthew D. Mackay's perspective
Ordered by how strongly the researchers Matthew D. Mackay 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)