Yong Ren
Artificial Intelligence · with Li · 2017
A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it; #19,924 of 35,345 by trust here, #15,866 by citations
- Computer Vision and Pattern Recognition — 27 citations into it; #12,440 of 21,575 by trust here, #10,677 by citations
- Representation & Self-Supervised Learning — 25 citations into it; #2,012 of 3,145 by trust here, #1,943 by citations
- Optimization & Training — 9 citations into it
- Generative Models — 8 citations into it
Whom Yong Ren trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- L. Eon Bottou
- Yann LeCun
- Alex Krizhevsky
- Tim Salimans
- Mikhail Belkin
- Ilya Sutskever
- Jason Aaron Edward Weston
Who trusts Yong Ren overall
Papers from Yong Ren's perspective
Ordered by how strongly the researchers Yong Ren trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning (2017) — 262 citations