Rahul Tewari

Optimization & Training · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 9 citations into it

Whom Rahul Tewari trusts overall

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

1. Shun-ichi Amari
2. Diederik P. Kingma
3. Tommi S. Jaakkola

Who trusts Rahul Tewari overall

1. Alessandro Achille
2. Andrew Kyle Lampinen
3. Cuong V Nguyen

Papers from Rahul Tewari's perspective

Ordered by how strongly the researchers Rahul Tewari 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Unbiased look at dataset bias
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Task2Vec: Task Embedding for Meta-Learning (2019) — 377 citations