Naeemullah Khan

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it; #15,168 of 35,345 by trust here, #19,018 by citations
• Computer Vision and Pattern Recognition — 27 citations into it; #9,757 of 21,575 by trust here, #12,689 by citations
• Meta & Continual Learning — 19 citations into it; #465 of 1,041 by trust here, #692 by citations
• Representation & Self-Supervised Learning — 16 citations into it
• Reinforcement Learning — 7 citations into it

Whom Naeemullah Khan trusts overall

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

1. Arslan Chaudhry
2. Geoffrey E. Hinton
3. Marc'Aurelio Ranzato
4. David Lopez-Paz
5. Yoshua Bengio
6. Alex Krizhevsky
7. Yann LeCun
8. Kaiming He
9. Diederik P. Kingma
10. Oriol Vinyals

Who trusts Naeemullah Khan overall

1. Gyuhak Kim
2. Yiduo Guo
3. Binghui Peng
4. Jorge Armando Mendez Mendez
5. Hao Liu
6. Yajing Kong
7. Jie M. Zhang
8. Mohammad Mahdi Derakhshani
9. Jaehong Yoon

Papers from Naeemullah Khan's perspective

Ordered by how strongly the researchers Naeemullah Khan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Continual Learning in Low-rank Orthogonal Subspaces (2020) — 170 citations