A. Chaudhari

Computer Vision and Pattern Recognition · with Fang · 2018–2023

A researcher in the Science corpus: 2 papers; trusts 91 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #21,332 of 21,575 by trust here, #20,271 by citations
• Artificial Intelligence — 35 citations into it
• Representation & Self-Supervised Learning — 18 citations into it

Whom A. Chaudhari trusts overall

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

1. Yann LeCun
2. Diederik P. Kingma
3. Kaiming He
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Chao Dong
7. Yoshua Bengio
8. Karen Simonyan
9. Jimmy Ba
10. Ilya Sutskever

Who trusts A. Chaudhari overall

1. Arvid Lundervold
2. Chenyu You

Papers from A. Chaudhari's perspective

Ordered by how strongly the researchers A. Chaudhari 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. ImageNet Large Scale Visual Recognition Challenge
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Self-supervised learning for medical image classification: a systematic review and implementation guidelines (2023) — 468 citations
• Super-Resolution Musculoskeletal MRI Using Deep Learning (2018) — 357 citations