Fei-Fei Li
Computer Vision and Pattern Recognition · with Duerig · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 768 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 116 citations into it; #9,348 of 21,575 by trust here, #6,485 by citations
- Artificial Intelligence — 68 citations into it
- Multimodal Learning — 28 citations into it
- Evaluation & Benchmarks — 25 citations into it
- Natural Language Processing — 20 citations into it; #2,675 of 5,688 by trust here, #4,983 by citations
- Model Architectures — 16 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Optimization & Training — 7 citations into it
Whom Fei-Fei Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ilya Sutskever
- Alex Krizhevsky
- Yoshua Bengio
- Ross B. Girshick
- Karen Simonyan
- Yann LeCun
- Kaiming He
- Diederik P. Kingma
- Richard Socher
Who trusts Fei-Fei Li overall
Papers from Fei-Fei Li's perspective
Ordered by how strongly the researchers Fei-Fei Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Going deeper with convolutions