Yuhong Guo

with Schuurmans · 2007

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Whom Yuhong Guo trusts overall

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

1. Tom Minka
2. Andrew McCallum
3. Ji Zhu
4. Trevor J. Hastie
5. Kamal Nigam
6. Klaus Brinker
7. David A. Cohn
8. David D. Lewis
9. Yoshua Bengio
10. Zoubin Ghahramani

Who trusts Yuhong Guo overall

1. Burr Settles
2. Daniel Gissin
3. Andreas Kirsch
4. Kailas Vodrahalli
5. Daniel M. Ziegler
6. Shai Shalev-Shwartz
7. Ke Li
8. Joost R. van Amersfoort
9. Ozan Sener
10. Zhipeng Luo

Papers from Yuhong Guo's perspective

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

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

Their papers

• Discriminative Batch Mode Active Learning (2007) — 320 citations