Scott McCloskey

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #20,349 of 21,575 by trust here, #17,258 by citations
• Generative Models — 12 citations into it
• Artificial Intelligence — 5 citations into it

Whom Scott McCloskey trusts overall

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

1. Diederik P. Kingma
2. Francesco Marra
3. L. Eon Bottou
4. Martín Arjovsky
5. Zachary Chase Lipton
6. David Guera
7. Geoffrey E. Hinton
8. Antonia Creswell
9. Jimmy Ba
10. Yann LeCun

Who trusts Scott McCloskey overall

1. Xingang Pan

Papers from Scott McCloskey's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. GENERATIVE ADVERSARIAL NETS
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Source Generator Attribution via Inversion (2019) — 57 citations