J. Mellor

Computer Vision and Pattern Recognition · with Crowley · 2020

A researcher in the Science corpus: 1 paper; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Artificial Intelligence — 31 citations into it
• Model Architectures — 14 citations into it
• Neural Architecture Search & AutoML — 11 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom J. Mellor trusts overall

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

1. Alex Krizhevsky
2. Barret Zoph
3. Kaiming He
4. Quoc V. Le
5. Geoffrey E. Hinton
6. Xuanyi Dong
7. Karen Simonyan
8. Yoshua Bengio
9. Ilya Sutskever
10. Diederik P. Kingma

Who trusts J. Mellor overall

1. Wuyang Chen
2. Mohamed S. Abdelfattah
3. Abhinav Mehrotra

Papers from J. Mellor's perspective

Ordered by how strongly the researchers J. Mellor 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Neural Architecture Search without Training (2020) — 496 citations