Helena Aidos

Representation & Self-Supervised Learning · 2010

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 11 citations into it; #2,498 of 3,145 by trust here, #2,404 by citations
• Computer Vision and Pattern Recognition — 7 citations into it; #16,310 of 21,575 by trust here, #14,151 by citations

Whom Helena Aidos trusts overall

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

1. Sam T. Roweis
2. Mikhail Belkin
3. Geoffrey E. Hinton
4. Kilian Q. Weinberger
5. Lawrence K. Saul
6. Joseph B. Kruskal
7. John C. Gower

Who trusts Helena Aidos overall

1. John Aldo Lee
2. Michel Verleysen
3. L. V. D. van der Maaten

Papers from Helena Aidos's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. A global geometric framework for nonlinear dimensionality reduction.
4. Gradient-based learning applied to document recognition
5. Nonlinear dimensionality reduction by locally linear embedding.
6. Distance Metric Learning for Large Margin Nearest Neighbor Classification
7. Neighbourhood Components Analysis
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering

Their papers

• Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization (2010) — 407 citations