Alec Go

Computer Vision and Pattern Recognition · with Adam · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #19,736 of 21,575 by trust here, #8,122 by citations
• Efficiency & Compression — 22 citations into it; #1,127 of 1,264 by trust here, #644 by citations
• Electrical and Electronic Engineering — 6 citations into it

Whom Alec Go trusts overall

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

1. Yu-hsin Chen
2. Karen Simonyan
3. Kaiming He

Who trusts Alec Go overall

1. Chaoyang He

Papers from Alec Go's perspective

Ordered by how strongly the researchers Alec Go 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Going deeper with convolutions
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications (2018) — 575 citations