Weizhe Lin
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 2 papers; trusts 357 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 46 citations into it
- Computer Vision and Pattern Recognition — 38 citations into it
- Multimodal Learning — 20 citations into it
- Question Answering & Reading Comprehension — 12 citations into it
- Information Retrieval & Search — 7 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Knowledge Graphs & Representation — 6 citations into it
- Natural Language Processing — 6 citations into it
Whom Weizhe Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Kenton C. T. Lee
- Ross B. Girshick
- Karen Simonyan
Who trusts Weizhe Lin overall
Papers from Weizhe Lin's perspective
Ordered by how strongly the researchers Weizhe Lin 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
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge