Anki Chauhan

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Efficiency & Compression — 12 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Anki Chauhan trusts overall

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

1. Daniel Lowd
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Alex Graves
6. Christian Szegedy
7. Yoshua Bengio
8. Robin Jia
9. Christopher Meek
10. Xiangyu Zhang

Papers from Anki Chauhan's perspective

Ordered by how strongly the researchers Anki Chauhan 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. Going deeper with convolutions
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• ILFO: Adversarial Attack on Adaptive Neural Networks (2020) — 41 citations