Siddharth Singh

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Control and Systems Engineering — 31 citations into it
• Reinforcement Learning — 31 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Robotics & Control — 19 citations into it

Whom Siddharth Singh trusts overall

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

1. Chelsea Finn

Papers from Siddharth Singh's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. Et al
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• RoboNet: Large-Scale Multi-Robot Learning (2019) — 437 citations