Jeff Druce

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Artificial Intelligence — 9 citations into it; #28,985 of 35,345 by trust here, #29,412 by citations
• Safety, Robustness & Interpretability — 8 citations into it

Whom Jeff Druce trusts overall

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

1. Richard A. Berk
2. Matthew D. Zeiler
3. Karen Simonyan
4. Rob Fergus
5. Geoffrey E. Hinton
6. Keith A. Markus
7. Andrea Vedaldi
8. Ramprasaath R. Selvaraju
9. Sebastian Bach
10. Andrew Zisserman

Who trusts Jeff Druce overall

1. D. Gunning
2. Tanmayee Narendra
3. Raha Moraffah

Papers from Jeff Druce's perspective

Ordered by how strongly the researchers Jeff Druce 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. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations (2018) — 88 citations