Kamil Nar

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #34,807 of 35,345 by trust here, #31,361 by citations
• Optimization & Training — 9 citations into it
• Computational Mechanics — 5 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Kamil Nar trusts overall

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

1. Peter L. Bartlett
2. Robert A. Jacobs
3. Andrew M. Saxe
4. Suriya Gunasekar
5. Philip M. Long
6. James L. McClelland
7. Kaiming He
8. Behnam Neyshabur
9. Dylan J. Foster
10. Steven N. Evans

Who trusts Kamil Nar overall

1. Jeremy M. Cohen
2. Simran Kaur
3. Elad Hoffer

Papers from Kamil Nar's perspective

Ordered by how strongly the researchers Kamil Nar 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. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Step Size Matters in Deep Learning (2018) — 54 citations