Amir Hossein Afsharinejad

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Probabilistic & Bayesian Methods — 12 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Amir Hossein Afsharinejad trusts overall

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

1. Arthur Gretton
2. Kenji Fukumizu
3. Le Song
4. Byron Boots
5. Bernhard Schölkopf
6. Alex Smola
7. Steffen Grünewälder
8. Yu Nishiyama
9. Jonathan Ko
10. Francis R. Bach

Papers from Amir Hossein Afsharinejad's perspective

Ordered by how strongly the researchers Amir Hossein Afsharinejad 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. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• The Nonparametric Kernel Bayes Smoother (2016) — 12 citations