Amir Khoshaman

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 66 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it; #12,545 of 21,575 by trust here, #15,162 by citations
• Generative Models — 18 citations into it; #1,148 of 1,956 by trust here, #1,577 by citations
• Probabilistic & Bayesian Methods — 10 citations into it
• Optimization & Training — 9 citations into it
• Model Architectures — 7 citations into it

Whom Amir Khoshaman trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Ruslan Salakhutdinov
5. Andriy Mnih
6. Ronald J. Williams
7. Yann LeCun
8. Max Welling
9. Alex Krizhevsky
10. Ilya Sutskever

Who trusts Amir Khoshaman overall

1. Arash Vahdat

Papers from Amir Khoshaman's perspective

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

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

Their papers

• DVAE++: Discrete Variational Autoencoders with Overlapping Transformations (2018) — 81 citations