Rahul Krishna

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Information Systems — 17 citations into it; #7,339 of 8,771 by trust here, #7,997 by citations
• Software — 13 citations into it; #1,020 of 1,227 by trust here, #1,098 by citations
• Signal Processing — 11 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Natural Language Processing — 5 citations into it

Whom Rahul Krishna trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Miltiadis Allamanis
4. John Scott Bridle
5. J. Platt
6. David Martin Ward Powers
7. L. V. D. van der Maaten
8. Z. Li
9. Alex Krizhevsky
10. Diederik P. Kingma

Who trusts Rahul Krishna overall

1. Michael Fu
2. Yi Li
3. Yizheng Chen

Papers from Rahul Krishna's perspective

Ordered by how strongly the researchers Rahul Krishna 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deep Learning Based Vulnerability Detection: Are We There Yet? (2020) — 789 citations