Mirazul Haque

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Efficiency & Compression — 12 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Mirazul Haque trusts overall

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

1. Daniel Lowd
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Alex Graves
6. Christian Szegedy
7. Yoshua Bengio
8. Robin Jia
9. Christopher Meek
10. Xiangyu Zhang

Papers from Mirazul Haque's perspective

Ordered by how strongly the researchers Mirazul Haque 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
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

• ILFO: Adversarial Attack on Adaptive Neural Networks (2020) — 41 citations