Marc Goessling

Statistical Learning Theory · 2015

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 7 citations into it

Whom Marc Goessling trusts overall

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

1. B. Liu
2. R. Rivest
3. Johannes Fürnkranz
4. Leo Breiman
5. Fulton Wang
6. Paul A. Viola
7. Xiaoxin Yin
8. Eibe Frank
9. Jiawei Han
10. Cynthia Rudin

Who trusts Marc Goessling overall

1. Elaine Angelino
2. Nicholas Larus-Stone

Papers from Marc Goessling's perspective

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

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

Their papers

• Directional decision lists (2015)