Shengping Liu

International Conference on Machine Learning · 2003

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Shengping Liu trusts overall

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

1. Manoranjan Dash
2. L. Eon Bottou
3. Daphne Koller
4. Avrim Blum
5. Yiming Yang
6. Noam Slonim
7. Yoshua Bengio

Papers from Shengping Liu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• An Evaluation on Feature Selection for Text Clustering (2003) — 333 citations