Simran Kaur

Artificial Intelligence · 2021

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

Subfields

• Artificial Intelligence — 32 citations into it
• Optimization & Training — 28 citations into it

Whom Simran Kaur trusts overall

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

1. James Martens
2. L. Eon Bottou
3. Yann LeCun
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Stanislaw Jastrzebski
8. Ilya Sutskever
9. Diederik P. Kingma
10. Kamil Nar

Papers from Simran Kaur's perspective

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

Their papers

• Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability (2021) — 455 citations