Ava P. Soleimany

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Probabilistic & Bayesian Methods — 14 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Automotive Engineering — 5 citations into it
• Generative Models — 5 citations into it

Whom Ava P. Soleimany trusts overall

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

1. Diederik P. Kingma
2. Alex Graves
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Alexander Amini
8. Max Welling
9. Kaiming He
10. Radford M. Neal

Who trusts Ava P. Soleimany overall

1. David Gray Widder
2. Alexander Amini

Papers from Ava P. Soleimany's perspective

Ordered by how strongly the researchers Ava P. Soleimany 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Evidential Regression (2019) — 700 citations
• Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure (2019) — 216 citations