Sunny Dhamnani

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 27 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 — 26 citations into it
• Statistical Learning Theory — 8 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Sunny Dhamnani trusts overall

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

1. Christian Borgelt
2. Leo Breiman
3. Jerome H. Friedman
4. James Bergstra
5. William W. Cohen
6. Geoffrey E. Hinton
7. David E. Rumelhart
8. Yoshua Bengio
9. Alex Krizhevsky
10. Rakesh Agrawal

Papers from Sunny Dhamnani's perspective

Ordered by how strongly the researchers Sunny Dhamnani 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• ELF: An Early-Exiting Framework for Long-Tailed Classification (2020) — 30 citations
• RAPID: Rapid and Precise Interpretable Decision Sets (2019)