Akanksha Atrey

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Safety, Robustness & Interpretability — 21 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Reinforcement Learning — 10 citations into it

Whom Akanksha Atrey trusts overall

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

1. Roberto Brunelli
2. Volodymyr Mnih
3. Geoffrey E. Hinton
4. Emma Tosch
5. Richard S. Sutton
6. Ruth C. Fong
7. Alex Krizhevsky
8. Andrea Vedaldi
9. John Foley
10. Christian Rupprecht

Who trusts Akanksha Atrey overall

1. Xuhong Li

Papers from Akanksha Atrey's perspective

Ordered by how strongly the researchers Akanksha Atrey 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning (2019) — 113 citations