Karanbir Singh Chahal

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Optimization & Training — 28 citations into it
• ML Systems & Hardware — 11 citations into it
• Computer Networks and Communications — 6 citations into it

Whom Karanbir Singh Chahal trusts overall

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

1. Alex Krizhevsky
2. L. Eon Bottou
3. Geoffrey E. Hinton
4. Leslie N. Smith
5. Yann LeCun
6. Ilya Sutskever
7. Kaiming He
8. Diederik P. Kingma
9. Yoshua Bengio
10. Nikko Ström

Papers from Karanbir Singh Chahal's perspective

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

Their papers

• A Hitchhiker's Guide On Distributed Training of Deep Neural Networks (2018) — 56 citations