Charibeth Cheng

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Natural Language Processing — 14 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Charibeth Cheng trusts overall

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

1. Diederik P. Kingma
2. Xinya Du
3. Chin-Yew Lin
4. Ilya Sutskever
5. Sepp Hochreiter

Papers from Charibeth Cheng's perspective

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

1. Long Short-Term Memory
2. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Language Models are Unsupervised Multitask Learners
8. Gradient-based learning applied to document recognition
9. Bleu: a Method for Automatic Evaluation of Machine Translation
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Transformer-based End-to-End Question Generation (2020) — 53 citations