Xiyu Yu
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 127 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 32 citations into it; #19,500 of 21,575 by trust here, #10,905 by citations
- Artificial Intelligence — 31 citations into it; #31,718 of 35,345 by trust here, #15,004 by citations
- Efficiency & Compression — 14 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Model Architectures — 8 citations into it
Whom Xiyu Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Christian Szegedy
- Kaiming He
- Yoshua Bengio
- Ilya Sutskever
- Andrew Zisserman
- Diederik P. Kingma
Who trusts Xiyu Yu overall
- Gaurav Menghani
- Ting-Kuei Hu
- Dongqing Zhang
- Jingwen Ye
- Atsushi Yaguchi
- Kai Han
- Yongming Rao
- Haotong Qin
- Ruoxi Wang
- Jiaxian Guo
Papers from Xiyu Yu's perspective
Ordered by how strongly the researchers Xiyu Yu 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)
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- On Compressing Deep Models by Low Rank and Sparse Decomposition (2017) — 482 citations
- Transfer Learning with Label Noise (2017) — 32 citations