Xuemeng Song
Computer Vision and Pattern Recognition · 2017–2020
A researcher in the Science corpus: 3 papers; trusts 65 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 41 citations into it; #20,253 of 21,575 by trust here, #15,955 by citations
- Artificial Intelligence — 35 citations into it
- Information Systems — 19 citations into it
- Recommender Systems — 6 citations into it
- Natural Language Processing — 5 citations into it
Whom Xuemeng Song trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Geoffrey E. Hinton
- Yoshua Bengio
- Xiangnan He
- Dzmitry Bahdanau
- Hanwang Zhang
- Steffen Rendle
- Alex Krizhevsky
- Diederik P. Kingma
- Julian McAuley
Who trusts Xuemeng Song overall
Papers from Xuemeng Song's perspective
Ordered by how strongly the researchers Xuemeng Song 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Neural Compatibility Modeling With Probabilistic Knowledge Distillation (2020) — 44 citations
- Neural Compatibility Modeling with Attentive Knowledge Distillation (2018) — 167 citations
- Unifying Virtual and Physical Worlds (2017) — 21 citations