Marco Lippi

with Frasconi · 2009

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Marco Lippi trusts overall

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

1. Matthew Richardson
2. Charles Sutton
3. W. Kabsch
4. Bernhard Schölkopf
5. Pedro M. Domingos
6. Jianlin Cheng
7. Stanley Kok
8. Stephen F. Altschul
9. Andrew McCallum
10. C. Burges

Papers from Marco Lippi's perspective

Ordered by how strongly the researchers Marco Lippi 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights (2009) — 66 citations