Haibin Yu

Representation & Self-Supervised Learning · with Liu · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haibin Yu trusts

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

  1. Kilian Q. Weinberger (in Representation & Self-Supervised Learning)

Papers from Haibin Yu's perspective

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

  1. Multitask Learning
  2. Distance Metric Learning for Large Margin Nearest Neighbor Classification
  3. Neighbourhood Components Analysis
  4. Distance Metric Learning with Application to Clustering with Side-Information
  5. Information-theoretic metric learning
  6. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification
  7. Recognizing indoor scenes
  8. Online Passive-Aggressive Algorithms
  9. Convex multi-task feature learning
  10. The Benefit of Multitask Representation Learning

Their papers