Joseph Chee Chang

Computer Science Applications · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Science Applications — 13 citations into it
• Artificial Intelligence — 9 citations into it

Whom Joseph Chee Chang trusts overall

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

1. George A. Miller
2. Ann Taylor
3. Michael S. Bernstein
4. Jeffrey P. Bigham
5. Jia Deng
6. Mitchell P. Marcus
7. Lydia B. Chilton
8. Todd Kulesza
9. Greg Little
10. Beatrice Santorini

Who trusts Joseph Chee Chang overall

1. Lora Aroyo
2. Lucas Dixon

Papers from Joseph Chee Chang's perspective

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

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

Their papers

• Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets (2017) — 273 citations