Md. Akmal Haidar

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #18,983 of 35,345 by trust here, #32,362 by citations
• Computer Vision and Pattern Recognition — 17 citations into it; #11,914 of 21,575 by trust here, #20,271 by citations
• Generative Models — 12 citations into it
• Natural Language Processing — 12 citations into it

Whom Md. Akmal Haidar trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ian J. Goodfellow
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Oriol Vinyals
7. Yann LeCun
8. Ilya Sutskever
9. Yoon Kim
10. Ronald J. Williams

Who trusts Md. Akmal Haidar overall

1. Sergey I. Nikolenko
2. Jianping Gou
3. Baosheng Yu
4. S. Maybank

Papers from Md. Akmal Haidar's perspective

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

Their papers

• TextKD-GAN: Text Generation Using Knowledge Distillation and Generative Adversarial Networks (2019) — 54 citations