Ali Eslami

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 228 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Artificial Intelligence — 35 citations into it
• Generative Models — 29 citations into it
• Computational Mechanics — 12 citations into it
• Model Architectures — 9 citations into it
• Reinforcement Learning — 8 citations into it
• Optimization & Training — 7 citations into it
• Natural Language Processing — 5 citations into it

Whom Ali Eslami trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Kaiming He
5. Oriol Vinyals
6. Yoshua Bengio
7. Alex Krizhevsky
8. Aäron van den Oord
9. Yann LeCun
10. Ronald J. Williams

Papers from Ali Eslami's perspective

Ordered by how strongly the researchers Ali Eslami 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Synthesizing Programs for Images using Reinforced Adversarial Learning (2018) — 243 citations
• PolyGen: An Autoregressive Generative Model of 3D Meshes (2020) — 373 citations