Carl Sabottke

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #24,400 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 9 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Carl Sabottke trusts overall

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

1. Leslie N. Smith
2. Chih-Jen Lin
3. Kaiming He
4. Xu Sun
5. Alex Krizhevsky
6. Elizabeth R. DeLong
7. Bernhard E. Boser
8. X. Zhang
9. L. Yao
10. Xiaosong Wang

Who trusts Carl Sabottke overall

1. Yogesh Kumar
2. G. Husari
3. Apeksha Koul
4. Ehab S. Al-Shaer
5. Ruchika Singla

Papers from Carl Sabottke's perspective

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

Their papers

• The Effect of Image Resolution on Deep Learning in Radiography. (2020) — 301 citations
• Vulnerability Disclosure in the Age of Social Media: Exploiting Twitter for Predicting Real-World Exploits (2015) — 331 citations