Ravi Krishna

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 314 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 164 citations into it
• Computer Vision and Pattern Recognition — 149 citations into it
• Natural Language Processing — 30 citations into it
• Efficiency & Compression — 23 citations into it
• Large Language Models — 15 citations into it
• Model Architectures — 14 citations into it
• Safety, Robustness & Interpretability — 10 citations into it
• Optimization & Training — 7 citations into it

Whom Ravi Krishna trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ilya Sutskever
6. Yann LeCun
7. Karen Simonyan
8. Ross B. Girshick
9. Diederik P. Kingma
10. Christian Szegedy

Papers from Ravi Krishna's perspective

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

Their papers

• SqueezeBERT: What can computer vision teach NLP about efficient neural networks? (2020) — 143 citations
• A Review of Single-Source Deep Unsupervised Visual Domain Adaptation (2020) — 338 citations