Jun Xu

Artificial Intelligence · with Du · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Model Architectures — 9 citations into it

Whom Jun Xu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. J. Urgen Schmidhuber
3. Alex Graves
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Yoshua Bengio

Papers from Jun Xu's perspective

Ordered by how strongly the researchers Jun Xu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning Multiple Layers of Features from Tiny Images
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning to Learn Kernels with Variational Random Features (2020) — 38 citations