Alexander John Faithfull

Computer Vision and Pattern Recognition · 2018

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

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it

Whom Alexander John Faithfull trusts overall

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

1. Yann LeCun

Papers from Alexander John Faithfull's perspective

Ordered by how strongly the researchers Alexander John Faithfull trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Multidimensional binary search trees used for associative searching
5. Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Hashing for Similarity Search: A Survey

Their papers

• ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms (2018) — 590 citations