Xin Shen

Artificial Intelligence · with Damianou · 2020

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Representation & Self-Supervised Learning — 16 citations into it

Whom Xin Shen trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Yann LeCun
7. Oriol Vinyals
8. Jimmy Ba
9. Spyros Gidaris
10. Ilya Sutskever

Papers from Xin Shen's perspective

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

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

Their papers

• Empirical Bayes Transductive Meta-Learning with Synthetic Gradients (2020) — 140 citations