Xiaolei Huang

Artificial Intelligence · with Paul · 2019

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #24,870 of 35,345 by trust here, #31,361 by citations
• Natural Language Processing — 11 citations into it; #4,142 of 5,688 by trust here, #5,296 by citations
• Representation & Self-Supervised Learning — 6 citations into it; #2,387 of 3,145 by trust here, #3,009 by citations

Whom Xiaolei Huang trusts overall

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

1. Yoon Kim
2. Steven Bird
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Hal Daumé Iii
6. Tomas Mikolov
7. Sepp Hochreiter
8. Ilya Sutskever
9. Yoshua Bengio
10. Alex Krizhevsky

Who trusts Xiaolei Huang overall

1. Gihyeon Choi
2. Shinhyeok Oh
3. Oshin Agarwal
4. H. Kim

Papers from Xiaolei Huang's perspective

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

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

Their papers

• Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models (2019) — 41 citations