Siddharth Verma

Artificial Intelligence · with Finn · 2020

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Reinforcement Learning — 40 citations into it
• Control and Systems Engineering — 13 citations into it

Whom Siddharth Verma trusts overall

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

1. Richard S. Sutton
2. Sergey Levine
3. Geoffrey E. Hinton
4. J. Urgen Schmidhuber
5. Andrew Barto
6. Diederik P. Kingma
7. Benjamin Eysenbach
8. Yoshua Bengio
9. Carlos Florensa
10. Danilo Jimenez Rezende

Papers from Siddharth Verma's perspective

Ordered by how strongly the researchers Siddharth Verma 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. Et al
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Continual Learning of Control Primitives: Skill Discovery via Reset-Games (2020) — 36 citations