Ambareesh Revanur

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 Ambareesh Revanur 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

Papers from Ambareesh Revanur's perspective

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

Their papers

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