Aishwarya Kumar

Radiology, Nuclear Medicine and Imaging · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Infectious Diseases — 5 citations into it

Whom Aishwarya Kumar trusts overall

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

1. Tianqi Chen
2. Kaiming He
3. Linda Wang
4. Joseph Aylett-Bullock
5. X. Zhang
6. Carlos Guestrin
7. Shaoqing Ren
8. Z. Q. Lin
9. Fisher Yu
10. Alexander Wong

Papers from Aishwarya Kumar's perspective

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

Their papers

• A review of modern technologies for tackling COVID-19 pandemic (2020) — 305 citations