Mengdi Xu
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Probabilistic & Bayesian Methods — 10 citations into it
- Reinforcement Learning — 10 citations into it
Whom Mengdi Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Michael I. Jordan
- Chelsea Finn
- Geoffrey E. Hinton
- Michalis K. Titsias
- Sergey Levine
- Diederik P. Kingma
- Yoshua Bengio
- Pieter Abbeel
- Dahua Lin
Papers from Mengdi Xu's perspective
Ordered by how strongly the researchers Mengdi Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- 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)