Duane S. Boning

Artificial Intelligence · 2002–2020

A researcher in the Science corpus: 5 papers; trusts 43 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 131 citations into it; #23,671 of 35,345 by trust here, #10,566 by citations
• Safety, Robustness & Interpretability — 89 citations into it; #1,835 of 2,251 by trust here, #1,205 by citations
• Reinforcement Learning — 34 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Hardware and Architecture — 15 citations into it
• Signal Processing — 14 citations into it
• Program Analysis & Verification — 6 citations into it; #297 of 301 by trust here, #60 by citations

Whom Duane S. Boning trusts overall

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

1. Nicholas Carlini
2. Geoffrey E. Hinton
3. Ian J. Goodfellow
4. Alex Krizhevsky
5. Christian Szegedy
6. Yoshua Bengio
7. Diederik P. Kingma
8. Kaiming He
9. Alexey Kurakin
10. Yann LeCun

Who trusts Duane S. Boning overall

1. Huan Zhang

Papers from Duane S. Boning's perspective

Ordered by how strongly the researchers Duane S. Boning 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Intriguing properties of neural networks
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Towards Fast Computation of Certified Robustness for ReLU Networks (2018) — 755 citations
• Towards Stable and Efficient Training of Verifiably Robust Neural Networks (2019) — 393 citations
• Multi-Stage Influence Function (2020) — 21 citations
• Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations (2020) — 405 citations
• Characterization and modeling of oxide chemical-mechanical polishing using planarization length and pattern density concepts (2002) — 144 citations