Sankalp Garg

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Reinforcement Learning — 8 citations into it

Whom Sankalp Garg trusts overall

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

1. Martin L. Puterman
2. Volodymyr Mnih
3. Thomas Kipf
4. Palash Goyal
5. Emilio Parisotto
6. Max Welling
7. Geoffrey E. Hinton
8. Marta Garnelo
9. Murugeswari Issakkimuthu
10. Jimmy Ba

Papers from Sankalp Garg's perspective

Ordered by how strongly the researchers Sankalp Garg 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. Human-level control through deep reinforcement learning
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Asynchronous Methods for Deep Reinforcement Learning
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Transfer of Deep Reactive Policies for MDP Planning (2018) — 31 citations