Simukayi Mutasa

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Optimization & Training — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Model Architectures — 5 citations into it

Whom Simukayi Mutasa trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yurii E. Nesterov
2. Christian Szegedy
3. Diederik P. Kingma
4. Sergey Ioffe
5. Yann LeCun
6. Yoshua Bengio
7. Geoffrey E. Hinton
8. Jimmy Ba
9. Kaiming He
10. L. Eon Bottou

Papers from Simukayi Mutasa's perspective

Ordered by how strongly the researchers Simukayi Mutasa trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling (2018) — 81 citations