Rahul Venkatesh

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it
• Representation & Self-Supervised Learning — 22 citations into it
• Optimization & Training — 6 citations into it

Whom Rahul Venkatesh trusts overall

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

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

Who trusts Rahul Venkatesh overall

1. Kuniaki Saito

Papers from Rahul Venkatesh's perspective

Ordered by how strongly the researchers Rahul Venkatesh 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Class-Incremental Domain Adaptation (2020) — 58 citations