Ehsan Abedi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Ehsan Abedi trusts overall

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

1. Radford M. Neal
2. Mohammad Emtiyaz Khan
3. Diederik P. Kingma
4. L. Eon Bottou
5. Yann LeCun
6. Edward Snelson
7. Geoffrey E. Hinton

Papers from Ehsan Abedi's perspective

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

1. Gradient-based learning applied to document recognition
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Multiple Layers of Features from Tiny Images
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Long Short-Term Memory
8. Pattern Recognition and Machine Learning
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Approximate Inference Turns Deep Networks into Gaussian Processes (2019) — 141 citations