Sanjay Ranka

Artificial Intelligence · 1992–2018

A researcher in the Science corpus: 2 papers; trusts 43 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #22,198 of 35,345 by trust here, #30,347 by citations
• Computer Vision and Pattern Recognition — 9 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Statistics and Probability — 6 citations into it

Whom Sanjay Ranka trusts overall

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

1. Robert Tibshirani
2. Kaiming He
3. Bolei Zhou
4. Mark A. Hall
5. Karen Spärck Jones
6. Wei-Yin Loh
7. Fisher Yu
8. Leo Breiman
9. Geoffrey E. Hinton
10. Alex Krizhevsky

Who trusts Sanjay Ranka overall

1. Nadia Burkart
2. Amina Adadi

Papers from Sanjay Ranka's perspective

Ordered by how strongly the researchers Sanjay Ranka 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Global Model Interpretation Via Recursive Partitioning (2018) — 89 citations
• Original Contribution: Forecasting the behavior of multivariate time series using neural networks (1992)