Dinesh Agarwal

Artificial Intelligence · with Sun · 2022

A researcher in the Science corpus: 1 paper; trusts 43 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 — 31 citations into it
• Representation & Self-Supervised Learning — 15 citations into it

Whom Dinesh Agarwal trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Olivier Bodenreider
4. L. V. D. van der Maaten
5. Alex Krizhevsky
6. Jia Deng
7. Yoshua Bengio
8. Diederik P. Kingma
9. Ross B. Girshick
10. Yann LeCun

Papers from Dinesh Agarwal's perspective

Ordered by how strongly the researchers Dinesh Agarwal 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. ImageNet: A large-scale hierarchical image database
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 Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• MedCLIP: Contrastive Learning from Unpaired Medical Images and Text (2022) — 1,038 citations