Anirudh Srinivasan

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Reinforcement Learning — 13 citations into it
• Statistics and Probability — 6 citations into it

Whom Anirudh Srinivasan trusts overall

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

1. Yoshua Bengio
2. Stéphane Ross
3. Tambet Matiisen
4. Ashvin Nair
5. Carlos Florensa
6. Donald B. Rubin
7. Geoffrey E. Hinton
8. Richard S. Sutton
9. Geoffrey J. Gordon
10. Diederik P. Kingma

Papers from Anirudh Srinivasan's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Automated curriculum generation for Policy Gradients from Demonstrations (2019)
• You Can't Stay Here (2017) — 327 citations