Vale Tolpegin

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Safety, Robustness & Interpretability — 29 citations into it
• Computer Networks and Communications — 13 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Vale Tolpegin trusts overall

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

1. Battista Biggio
2. Alex Krizhevsky
3. El Mahdi El Mhamdi
4. Huang Xiao
5. Blaine Nelson
6. Chang Liu
7. Geoffrey E. Hinton
8. Jacob Steinhardt
9. Han Xiao
10. Han Xiao

Who trusts Vale Tolpegin overall

1. Priyanka Mary Mammen

Papers from Vale Tolpegin's perspective

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

Their papers

• Data Poisoning Attacks Against Federated Learning Systems (2020) — 946 citations