Xinwei Shen

Artificial Intelligence · 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 — 17 citations into it
• Causal Inference & Discovery — 8 citations into it

Whom Xinwei Shen trusts

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

1. Bernhard Schölkopf (in Causal Inference & Discovery)
2. Yoshua Bengio (in Artificial Intelligence)
3. Aapo Hyvärinen (in Artificial Intelligence)
4. Diederik P. Kingma (in Artificial Intelligence)

Papers from Xinwei Shen's perspective

Ordered by how strongly the researchers Xinwei 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. Gradient-based learning applied to document recognition
5. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models (2020) — 407 citations