Prudhvi K. Gurram

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 121 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 61 citations into it
• Computer Vision and Pattern Recognition — 50 citations into it
• Safety, Robustness & Interpretability — 45 citations into it

Whom Prudhvi K. Gurram trusts overall

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

1. Karen Simonyan
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Andrew Zisserman
5. Yoshua Bengio
6. Kaiming He
7. Yann LeCun
8. Diederik P. Kingma
9. Ilya Sutskever
10. Dumitru Erhan

Papers from Prudhvi K. Gurram's perspective

Ordered by how strongly the researchers Prudhvi K. Gurram 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Interpretability of deep learning models: A survey of results (2017) — 469 citations
• Sanity Checks for Saliency Metrics (2019) — 210 citations
• Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models (2020) — 16 citations