Xiaosen Wang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Safety, Robustness & Interpretability — 23 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Optimization & Training — 5 citations into it

Whom Xiaosen Wang trusts overall

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

1. Christian Szegedy
2. Yurii E. Nesterov
3. Geoffrey E. Hinton
4. Nicholas Carlini
5. Alex Krizhevsky
6. Kaiming He
7. Ian J. Goodfellow
8. Ilya Sutskever
9. Sergey Ioffe
10. Shai Shalev-Shwartz

Who trusts Xiaosen Wang overall

1. Muzammal Naseer
2. Kanchana Ranasinghe

Papers from Xiaosen Wang's perspective

Ordered by how strongly the researchers Xiaosen Wang 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Enhancing the Transferability of Adversarial Attacks through Variance Tuning (2021) — 582 citations