Kais Allab

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 14 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 — 5 citations into it

Whom Kais Allab trusts overall

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

1. Chris H. Q. Ding
2. Inderjit S. Dhillon
3. Ian T. Jolliffe
4. Tao Li
5. Xiaofeng He
6. Alexander Strehl
7. Jingu Kim
8. Michael Collins
9. Deng Cai
10. T. Landauer

Who trusts Kais Allab overall

1. Feng Xia
2. Ke Sun

Papers from Kais Allab's perspective

Ordered by how strongly the researchers Kais Allab trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Algorithms for Non-negative Matrix Factorization

Their papers

• A Semi-NMF-PCA Unified Framework for Data Clustering (2017) — 76 citations