Huan Liu

Artificial Intelligence · with Bhattacharjee · 2022

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Representation & Self-Supervised Learning — 28 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Natural Language Processing — 17 citations into it

Whom Huan Liu trusts overall

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

1. Geoffrey E. Hinton
2. Kihyuk Sohn
3. Yoshua Bengio
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Kaiming He
7. Yann LeCun
8. Richard Socher
9. Ilya Sutskever
10. Jeffrey Pennington

Papers from Huan Liu's perspective

Ordered by how strongly the researchers Huan Liu 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 classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Text Transformations in Contrastive Self-Supervised Learning: A Review (2022) — 25 citations