Wei Xiong
Computer Vision and Pattern Recognition · with Zhang · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 39 citations into it; #18,767 of 21,575 by trust here, #13,815 by citations
- Artificial Intelligence — 25 citations into it; #30,651 of 35,345 by trust here, #26,682 by citations
- Representation & Self-Supervised Learning — 13 citations into it
- Model Architectures — 12 citations into it
- Optimization & Training — 12 citations into it
Whom Wei Xiong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- L. Eon Bottou
- Yann LeCun
- Kaiming He
- Matthew D. Zeiler
- Ilya Sutskever
- Rob Fergus
- Christian Szegedy
Who trusts Wei Xiong overall
Papers from Wei Xiong's perspective
Ordered by how strongly the researchers Wei Xiong 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
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Regularizing Deep Convolutional Neural Networks with a Structured Decorrelation Constraint (2016) — 40 citations
- Stacked Convolutional Denoising Auto-Encoders for Feature Representation (2017) — 390 citations