Krishnan Raghavan

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it; #32,137 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 23 citations into it; #19,749 of 21,575 by trust here, #20,756 by citations
• Meta & Continual Learning — 23 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Optimization & Training — 8 citations into it

Whom Krishnan Raghavan trusts overall

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

1. Longxin Lin
2. Victor M. Becerra
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Mehrdad Farajtabar
7. Yoshua Bengio
8. Zhizhong Li
9. John C. Duchi
10. Yann LeCun

Who trusts Krishnan Raghavan overall

1. Fei Ye
2. Jorge Armando Mendez Mendez

Papers from Krishnan Raghavan's perspective

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

Their papers

• Formalizing the Generalization-Forgetting Trade-off in Continual Learning (2021) — 41 citations