Tao Liu

International Conference on Machine Learning · with Chen · 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 Tao 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
8. Naftali Tishby
9. Huan Liu
10. Mehran Sahami

Papers from Tao Liu's perspective

Ordered by how strongly the researchers Tao Liu 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
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. GENERATIVE ADVERSARIAL NETS

Their papers

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