Helen Jiang
Computer Vision and Pattern Recognition · 2016–2020
A researcher in the Science corpus: 2 papers; trusts 94 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 48 citations into it; #10,029 of 21,575 by trust here, #5,620 by citations
- Artificial Intelligence — 26 citations into it; #30,729 of 35,345 by trust here, #31,361 by citations
- Reinforcement Learning — 16 citations into it
- Evaluation & Benchmarks — 11 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Helen Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Peter Auer
- Alex Krizhevsky
- Ross B. Girshick
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Burr Settles
- Ilya Sutskever
Who trusts Helen Jiang overall
Papers from Helen Jiang's perspective
Ordered by how strongly the researchers Helen Jiang 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- 3D Semantic Parsing of Large-Scale Indoor Spaces (2016) — 2,075 citations
- Semantic Curiosity for Active Visual Learning (2020) — 93 citations