Yifeng Yin
Artificial Intelligence · 2018
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #27,011 of 35,345 by trust here, #19,018 by citations
- Optimization & Training — 16 citations into it
- Computational Mechanics — 8 citations into it
- Health Information Management — 6 citations into it
Whom Yifeng Yin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dianbo Liu
- Peter Richtárik
- H. Brendan McMahan
- Diederik P. Kingma
- Jakub Konecný
- Li Huang
- Martin Takác
- L. Eon Bottou
- Olivier Fercoq
- Virginia Smith
Who trusts Yifeng Yin overall
Papers from Yifeng Yin's perspective
Ordered by how strongly the researchers Yifeng Yin trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions