Ramitha Sundar

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 312 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Reinforcement Learning — 22 citations into it
• Safety, Robustness & Interpretability — 16 citations into it
• Biophysics — 5 citations into it

Whom Ramitha Sundar trusts overall

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

1. Ian J. Goodfellow
2. Christian Szegedy
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Pedro F. Felzenszwalb
6. Matthew D. Zeiler
7. Alex Krizhevsky
8. Yoshua Bengio
9. Ilya Sutskever
10. Yann LeCun

Who trusts Ramitha Sundar overall

1. Akanksha Atrey

Papers from Ramitha Sundar's perspective

Ordered by how strongly the researchers Ramitha Sundar 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. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Transparency and Explanation in Deep Reinforcement Learning Neural Networks (2018) — 195 citations
• Transparency in Deep Reinforcement Learning Networks (2018)