Shiru Ren

Computer Vision and Pattern Recognition · 2020

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 — 19 citations into it

Whom Shiru Ren trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Jia Deng
4. Geoffrey E. Hinton
5. Christian Szegedy

Papers from Shiru Ren's perspective

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

Their papers

• AntMan: Dynamic Scaling on GPU Clusters for Deep Learning (2020) — 274 citations