Ameen Ali

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 93 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #15,965 of 21,575 by trust here, #20,756 by citations
• Artificial Intelligence — 17 citations into it
• Safety, Robustness & Interpretability — 15 citations into it; #1,685 of 2,251 by trust here, #2,231 by citations
• Biophysics — 6 citations into it

Whom Ameen Ali trusts overall

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

1. Andrea Vedaldi
2. Ruth C. Fong
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Karen Simonyan
6. Yoshua Bengio
7. Kaiming He
8. Yann LeCun
9. Grgoire Montavon
10. Diederik P. Kingma

Who trusts Ameen Ali overall

1. Hila Chefer
2. Mathilde Caron

Papers from Ameen Ali's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet Large Scale Visual Recognition Challenge
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization (2020) — 43 citations