Saikiran Bulusu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Safety, Robustness & Interpretability — 25 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Signal Processing — 12 citations into it

Whom Saikiran Bulusu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Dan Hendrycks
6. Yann LeCun
7. Kaiming He
8. Nicholas Carlini
9. Christian Szegedy
10. Ilya Sutskever

Who trusts Saikiran Bulusu overall

1. Gyuhak Kim
2. Sepideh Esmaeilpour

Papers from Saikiran Bulusu's perspective

Ordered by how strongly the researchers Saikiran Bulusu 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. 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. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Anomalous Instance Detection in Deep Learning: A Survey (2020) — 48 citations