Naeem Seliya

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Natural Language Processing — 12 citations into it
• Electrical and Electronic Engineering — 8 citations into it
• Model Architectures — 6 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Naeem Seliya trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Andrew Y. Ng
5. Quoc V. Le
6. Ilya Sutskever
7. Jerome H. Friedman
8. Yann LeCun
9. Tomas Mikolov
10. Ruslan Salakhutdinov

Papers from Naeem Seliya's perspective

Ordered by how strongly the researchers Naeem Seliya 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep learning applications and challenges in big data analytics (2015) — 2,363 citations
• A survey on addressing high-class imbalance in big data (2018) — 675 citations