R. Dallas

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Optimization & Training — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom R. Dallas trusts

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

1. Kenneth L. Clarkson (in Artificial Intelligence)
2. Burr Settles (in Evaluation & Benchmarks)
3. Yusuke Shinohara (in Artificial Intelligence)

Papers from R. Dallas's perspective

Ordered by how strongly the researchers R. Dallas 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. Backpropagation Applied to Handwritten Zip Code Recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Automatic differentiation in PyTorch
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning (2020) — 324 citations