Joseph Homer Saleh
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it
- Control and Systems Engineering — 12 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Mechanical Engineering — 7 citations into it
- Reinforcement Learning — 7 citations into it
- Statistics and Probability — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Signal Processing — 5 citations into it
Whom Joseph Homer Saleh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Daniel Busby
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Smola
- Kevin P. Murphy
- Yann LeCun
- Pascal Vincent
- Andreas C. Damianou
- Javier García
Papers from Joseph Homer Saleh's perspective
Ordered by how strongly the researchers Joseph Homer Saleh 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- 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)