Akanksha Saran

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it
• Artificial Intelligence — 23 citations into it
• Human-Computer Interaction — 22 citations into it
• Reinforcement Learning — 16 citations into it
• Cognitive Neuroscience — 13 citations into it
• Control and Systems Engineering — 9 citations into it
• Sensory Systems — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Akanksha Saran trusts overall

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

1. Ruohan Zhang
2. Diederik P. Kingma
3. Stefan Schaal
4. Jangwon Lee
5. Geoffrey E. Hinton
6. Faraz Torabi
7. Richard S. Sutton
8. E. Todorov
9. Jimmy Ba
10. Alex Krizhevsky

Who trusts Akanksha Saran overall

1. Lin Guan
2. Mudit Verma

Papers from Akanksha Saran's perspective

Ordered by how strongly the researchers Akanksha Saran 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. GENERATIVE ADVERSARIAL NETS
9. Et al
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Efficiently Guiding Imitation Learning Algorithms with Human Gaze (2020) — 19 citations
• Human Gaze Assisted Artificial Intelligence: A Review (2020) — 82 citations