Rob Romijnders

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 124 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 85 citations into it; #24,403 of 35,345 by trust here, #16,471 by citations
• Computer Vision and Pattern Recognition — 85 citations into it
• Safety, Robustness & Interpretability — 26 citations into it

Whom Rob Romijnders trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. J. Urgen Schmidhuber
5. Ilya Sutskever
6. Kaiming He
7. Yoshua Bengio
8. Diederik P. Kingma
9. Yann LeCun
10. Christian Szegedy

Who trusts Rob Romijnders overall

1. M. Mohammadi

Papers from Rob Romijnders's perspective

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

Their papers

• On Robustness and Transferability of Convolutional Neural Networks (2020) — 174 citations
• Revisiting the Calibration of Modern Neural Networks (2021) — 562 citations
• Applying Deep Learning to Basketball Trajectories (2016) — 59 citations