Alex Kantchelian

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it; #12,896 of 35,345 by trust here, #19,873 by citations
• Signal Processing — 17 citations into it
• Computer Networks and Communications — 15 citations into it
• Information Systems — 15 citations into it
• Safety, Robustness & Interpretability — 15 citations into it; #880 of 2,251 by trust here, #1,747 by citations
• Computer Vision and Pattern Recognition — 7 citations into it
• Evaluation & Benchmarks — 6 citations into it; #1,237 of 3,147 by trust here, #2,410 by citations
• Optimization & Training — 6 citations into it

Whom Alex Kantchelian trusts overall

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

1. Chih-Jen Lin
2. Daniel Lowd
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Shixiang Shane Gu
6. L. Eon Bottou
7. Blaine Nelson
8. Anh Totti Nguyen
9. Alhussein Fawzi
10. Ian J. Goodfellow

Who trusts Alex Kantchelian overall

1. Liang Tong
2. Mahmood Sharif
3. Joseph Gardiner
4. Mathias Lécuyer
5. Arjun Nitin Bhagoji
6. Bo Li
7. Battista Biggio
8. Vikash Sehwag
9. Davide Maiorca
10. Shishir Nagaraja

Papers from Alex Kantchelian's perspective

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

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

Their papers

• PREDATOR: Proactive Recognition and Elimination of Domain Abuse at Time-Of-Registration (2016) — 136 citations
• Reviewer Integration and Performance Measurement for Malware Detection (2015) — 89 citations
• Evasion and Hardening of Tree Ensemble Classifiers (2015) — 227 citations
• Large-Margin Convex Polytope Machine (2014) — 46 citations