Laurent Charlin

Representation & Self-Supervised Learning · with Sutskever · 2013

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 7 citations into it

Whom Laurent Charlin trusts overall

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

1. Sam T. Roweis
2. Geoffrey E. Hinton
3. Ruslan Salakhutdinov
4. Lawrence K. Saul
5. Kilian Q. Weinberger

Papers from Laurent Charlin's perspective

Ordered by how strongly the researchers Laurent Charlin 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. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Distance Metric Learning for Large Margin Nearest Neighbor Classification
9. Neighbourhood Components Analysis
10. ImageNet: A large-scale hierarchical image database

Their papers

• Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning (2013) — 35 citations