Vatsal Shah

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Optimization & Training — 17 citations into it
• Computational Mechanics — 12 citations into it

Whom Vatsal Shah trusts overall

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

1. Hui Zhang
2. Kaiming He
3. Mengye Ren
4. X. Zhang
5. Yoshua Bengio
6. Shaoqing Ren
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Francis R. Bach
10. Yoav Freund

Who trusts Vatsal Shah overall

1. Yae Jee Cho

Papers from Vatsal Shah's perspective

Ordered by how strongly the researchers Vatsal Shah 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
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

• Choosing the Sample with Lowest Loss makes SGD Robust (2020) — 51 citations