Sujeeth Bharadwaj

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it

Whom Sujeeth Bharadwaj trusts overall

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

1. Alex Krizhevsky
2. Ulrike von Luxburg
3. Tsung-Yi Lin
4. Douglas A. Reynolds

Papers from Sujeeth Bharadwaj's perspective

Ordered by how strongly the researchers Sujeeth Bharadwaj trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning Multiple Layers of Features from Tiny Images
2. ImageNet: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Rethinking the Inception Architecture for Computer Vision
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Inducing a hierarchy for multi-class classification problems (2021)
• End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography (2019) — 1,861 citations