Raghavendra Selvan

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #17,192 of 35,345 by trust here, #22,463 by citations
• Computer Vision and Pattern Recognition — 7 citations into it; #10,871 of 21,575 by trust here, #14,822 by citations

Whom Raghavendra Selvan trusts overall

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

1. Diederik P. Kingma
2. James Bergstra
3. Yoshua Bengio
4. Jasper Snoek
5. Jimmy Ba
6. Olaf Ronneberger

Who trusts Raghavendra Selvan overall

1. Aimee van Wynsberghe
2. Anne-Laure Ligozat
3. Alexandra Sasha Luccioni

Papers from Raghavendra Selvan's perspective

Ordered by how strongly the researchers Raghavendra Selvan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models (2020) — 433 citations