Haoyue Shi
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it
- Natural Language Processing — 82 citations into it
- Computer Vision and Pattern Recognition — 41 citations into it
- Model Architectures — 11 citations into it
- Computational Linguistics & Semantics — 6 citations into it
Whom Haoyue Shi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Jacob Andreas
- Ilya Sutskever
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Richard Socher
- Yann LeCun
- Ross B. Girshick
Papers from Haoyue Shi's perspective
Ordered by how strongly the researchers Haoyue Shi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation (2021) — 104 citations
- Grammar-Based Grounded Lexicon Learning (2022) — 18 citations