Weiran Huang
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 276 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 93 citations into it
- Computer Vision and Pattern Recognition — 90 citations into it
- Representation & Self-Supervised Learning — 29 citations into it
- Model Architectures — 19 citations into it
- Optimization & Training — 13 citations into it
- Meta & Continual Learning — 11 citations into it
- Radiology, Nuclear Medicine and Imaging — 8 citations into it
Whom Weiran Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Christian Szegedy
- Yann LeCun
- Oriol Vinyals
- Ilya Sutskever
Who trusts Weiran Huang overall
Papers from Weiran Huang's perspective
Ordered by how strongly the researchers Weiran Huang 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Few-Shot Learning With Global Class Representations (2019) — 121 citations
- DARTS+: Improved Differentiable Architecture Search with Early Stopping (2019) — 317 citations
- Boosting Few-Shot Learning With Adaptive Margin Loss (2020) — 224 citations