Timothy Tadros

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Cognitive Neuroscience — 25 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Safety, Robustness & Interpretability — 21 citations into it
• Neuroscience — 11 citations into it
• Cellular and Molecular Neuroscience — 10 citations into it
• Electrical and Electronic Engineering — 10 citations into it
• Optimization & Training — 6 citations into it

Whom Timothy Tadros trusts overall

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

1. Yann LeCun
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ian J. Goodfellow
6. Yoshua Bengio
7. Nicholas Carlini
8. Christian Szegedy
9. Nicolas Papernot
10. Peter U. Diehl

Papers from Timothy Tadros's perspective

Ordered by how strongly the researchers Timothy Tadros 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks (2020) — 28 citations
• Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks (2020) — 7 citations
• Biologically inspired sleep algorithm for artificial neural networks (2019) — 21 citations