Lisha Chen
Representation & Self-Supervised Learning · with Buja · 2008
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Representation & Self-Supervised Learning — 5 citations into it
Whom Lisha Chen trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Joseph B. Kruskal (in Representation & Self-Supervised Learning)
Papers from Lisha Chen's perspective
Ordered by how strongly the researchers Lisha Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Nonlinear dimensionality reduction by locally linear embedding.
- Nonlinear Component Analysis as a Kernel Eigenvalue Problem
- A Nonlinear Mapping for Data Structure Analysis
- A Global Geometric Framework for Nonlinear Dimensionality Reduction
- Multidimensional scaling: I. Theory and method
- Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
- Learning Multiple Layers of Features from Tiny Images
- Training Products of Experts by Minimizing Contrastive Divergence
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Data Visualization With Multidimensional Scaling (2008) — 336 citations