Xiang-Rong Sheng
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 101 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it; #34,816 of 35,345 by trust here, #32,362 by citations
- Computer Vision and Pattern Recognition — 24 citations into it; #21,242 of 21,575 by trust here, #20,271 by citations
- Representation & Self-Supervised Learning — 20 citations into it
- Meta & Continual Learning — 9 citations into it
- Optimization & Training — 6 citations into it
Whom Xiang-Rong Sheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Krizhevsky
- Chelsea Finn
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Sergey Ioffe
- Kaiming He
- Yann LeCun
- Oriol Vinyals
Who trusts Xiang-Rong Sheng overall
Papers from Xiang-Rong Sheng's perspective
Ordered by how strongly the researchers Xiang-Rong Sheng 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)