Eric Sung

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #18,061 of 35,345 by trust here, #29,412 by citations
• Evaluation & Benchmarks — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Eric Sung trusts overall

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

1. Robert E. Schapire
2. Thomas G. Dietterich
3. Leo Breiman
4. Yoav Freund
5. Yuhai Wu
6. Andrew P. Bradley
7. Holger Schwenk
8. Richard Maclin
9. Hongyu Guo
10. Ludmila I. Kuncheva

Who trusts Eric Sung overall

1. Andrea Dal Pozzolo

Papers from Eric Sung's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. A decision-theoretic generalization of on-line learning and an application to boosting
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Bagging Predictors
7. Statistical Learning Theory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• AdaBoost with SVM-based component classifiers (2008) — 429 citations