Ming Yang
Computer Vision and Pattern Recognition · with Li · 2013–2016
A researcher in the Science corpus: 2 papers; trusts 229 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 94 citations into it
- Artificial Intelligence — 67 citations into it
- Representation & Self-Supervised Learning — 40 citations into it
- Multimodal Learning — 25 citations into it
- Natural Language Processing — 25 citations into it
- Statistics and Probability — 17 citations into it
- Probabilistic & Bayesian Methods — 13 citations into it
- Computational Mechanics — 10 citations into it
Whom Ming Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- David John Cameron MacKay
- Alex Graves
- Ruslan Salakhutdinov
- Ilya Sutskever
- Michael I. Jordan
- Diederik P. Kingma
Who trusts Ming Yang overall
Papers from Ming Yang's perspective
Ordered by how strongly the researchers Ming Yang 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- A Survey of Multi-View Representation Learning (2016) — 640 citations
- Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model (2013) — 23 citations