Joseph G. Makin
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it
- Model Architectures — 8 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
- Natural Language Processing — 5 citations into it
Whom Joseph G. Makin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Geoffrey E. Hinton
- Karen Simonyan
- Alex Krizhevsky
- Yoshua Bengio
- Nitish Srivastava
- Oriol Vinyals
- Kyunghyun Cho
- Diederik P. Kingma
- Dzmitry Bahdanau
Who trusts Joseph G. Makin overall
Papers from Joseph G. Makin's perspective
Ordered by how strongly the researchers Joseph G. Makin 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images