Dhruv Shah

Artificial Intelligence · with Ichter · 2021

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it
• Reinforcement Learning — 51 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Control and Systems Engineering — 12 citations into it
• Computational Theory and Mathematics — 8 citations into it

Whom Dhruv Shah trusts overall

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

1. Richard S. Sutton
2. Geoffrey E. Hinton
3. Sergey Levine
4. J. Urgen Schmidhuber
5. Diederik P. Kingma
6. Yoshua Bengio
7. Alex Krizhevsky
8. Chelsea Finn
9. Yann LeCun
10. Pieter Abbeel

Papers from Dhruv Shah's perspective

Ordered by how strongly the researchers Dhruv Shah 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. 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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning (2021) — 50 citations