Raghuram Mandyam Annasamy

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 65 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Reinforcement Learning — 20 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Raghuram Mandyam Annasamy trusts overall

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

1. Marc G. Bellemare
2. Geoffrey E. Hinton
3. Richard S. Sutton
4. Yoshua Bengio
5. Alexey Dosovitskiy
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Ross B. Girshick
9. Ian J. Goodfellow
10. Yann LeCun

Who trusts Raghuram Mandyam Annasamy overall

1. Felipe Petroski Such
2. Vashisht Madhavan
3. Akanksha Atrey

Papers from Raghuram Mandyam Annasamy's perspective

Ordered by how strongly the researchers Raghuram Mandyam Annasamy 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. 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. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Towards Better Interpretability in Deep Q-Networks (2018) — 69 citations