Lior Friedman

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #22,992 of 35,345 by trust here, #34,213 by citations

Whom Lior Friedman trusts overall

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

1. Thorsten Joachims
2. Shaul Markovitch
3. Corinna Cortes
4. David N. Milne
5. Carla E. Brodley
6. Gerson Zaverucha
7. Johannes Hoffart
8. J. Ross Quinlan
9. Vladimir Naumovich Vapnik
10. Ian H. Witten

Who trusts Lior Friedman overall

1. Marc-André Zöller
2. Marco F. Huber

Papers from Lior Friedman's perspective

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

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

Their papers

• Recursive Feature Generation for Knowledge-based Learning (2018) — 10 citations