Md Abdullah Al Hafiz Khan

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Biomedical Engineering — 5 citations into it

Whom Md Abdullah Al Hafiz Khan trusts overall

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

1. Matthew D. Zeiler
2. Sinno Jialin Pan
3. Timo Sztyler
4. Eric Tzeng
5. Mingsheng Long
6. Geoffrey E. Hinton
7. David John Cameron MacKay
8. Yoshua Bengio
9. Allan Stisen
10. Alex Krizhevsky

Who trusts Md Abdullah Al Hafiz Khan overall

1. Sreenivasan Ramasamy Ramamurthy

Papers from Md Abdullah Al Hafiz Khan's perspective

Ordered by how strongly the researchers Md Abdullah Al Hafiz 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
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

• Scaling Human Activity Recognition via Deep Learning-based Domain Adaptation (2018) — 138 citations