Anirudh Choudhary

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Radiology, Nuclear Medicine and Imaging — 21 citations into it
• Representation & Self-Supervised Learning — 12 citations into it

Whom Anirudh Choudhary trusts overall

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

1. Gabriella Csurka
2. Geoffrey E. Hinton
3. Eric Tzeng
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Cheng Chen
8. Yann LeCun
9. Diederik P. Kingma
10. Konstantinos Bousmalis

Who trusts Anirudh Choudhary overall

1. Samuel Budd
2. Emma Claire Robinson

Papers from Anirudh Choudhary's perspective

Ordered by how strongly the researchers Anirudh Choudhary 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Advancing Medical Imaging Informatics by Deep Learning-Based Domain Adaptation (2020) — 79 citations