Yang Long
Computer Vision and Pattern Recognition · with Bond-Taylor · 2021
A researcher in the Science corpus: 1 paper; trusts 442 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 159 citations into it
- Generative Models — 152 citations into it
- Artificial Intelligence — 128 citations into it
- Probabilistic & Bayesian Methods — 54 citations into it
- Statistical and Nonlinear Physics — 45 citations into it
- Signal Processing — 26 citations into it
- Model Architectures — 22 citations into it
- Biophysics — 10 citations into it
Whom Yang Long trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Max Welling
- Ilya Sutskever
- Radford M. Neal
- Alex Graves
Papers from Yang Long's perspective
Ordered by how strongly the researchers Yang Long 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS