Matthew Veres
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 116 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
- Building and Construction — 14 citations into it
- Model Architectures — 12 citations into it
- Reinforcement Learning — 11 citations into it
- Control and Systems Engineering — 9 citations into it
- Transportation — 9 citations into it
- Automotive Engineering — 6 citations into it
Whom Matthew Veres trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Oriol Vinyals
- Yoshua Bengio
- Sepp Hochreiter
- Ilya Sutskever
- Ross B. Girshick
- Kaiming He
- J. Urgen Schmidhuber
- Diederik P. Kingma
Who trusts Matthew Veres overall
Papers from Matthew Veres's perspective
Ordered by how strongly the researchers Matthew Veres 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2020) — 328 citations