Xin Dai

Computer Vision and Pattern Recognition · with Guo · 2020

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 16 citations into it
• Efficiency & Compression — 12 citations into it
• Model Architectures — 9 citations into it

Whom Xin Dai trusts overall

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

1. Kaiming He
2. Ronald J. Williams
3. Sergey Ioffe
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. X. Zhang
7. Christian Szegedy
8. Shaoqing Ren
9. Gao Huang
10. Yoshua Bengio

Papers from Xin Dai's perspective

Ordered by how strongly the researchers Xin Dai 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• EPNet: Learning to Exit with Flexible Multi-Branch Network (2020) — 61 citations