Xingyu Dai

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 20 citations into it
• Generative Models — 13 citations into it

Whom Xingyu Dai trusts overall

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

1. Alex Graves

Papers from Xingyu Dai's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Generating Sequences With Recurrent Neural Networks
3. Language Models are Unsupervised Multitask Learners
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Categorical Reparameterization with Gumbel-Softmax
9. The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• A Discriminator Improves Unconditional Text Generation without Updating the Generator (2020)