Lazhar Labiod

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 Lazhar Labiod 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 Lazhar Labiod overall

1. Feng Xia

Papers from Lazhar Labiod's perspective

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

1. Algorithms for Non-negative Matrix Factorization
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Co-clustering documents and words using bipartite spectral graph partitioning (Knowledge Discovery and Data Mining)
8. Learning Multiple Layers of Features from Tiny Images
9. Convex and Semi-Nonnegative Matrix Factorizations
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

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