AI Paper Atlas

Research map / Label-efficient and robust learning / Recognition and long-tail

Joint Multi-View Representation Learning and Image Tagging

AAAI 2016 · Label-efficient and robust learning › Recognition and long-tail · approach: Uncertainty-aware multi-view learning · 18 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
replace equal-weight multi-view structure term with softmax over most-disagreeing view (ablation)OPSL · Corel5kF1: 42.1 -> 43.3Helped
replace equal-weight multi-view structure term with softmax over most-disagreeing view (ablation)OPSL · ESP GameF1: 32.8 -> 33.9Helped
replace equal-weight multi-view structure term with softmax over most-disagreeing view (ablation)OPSL · NUS-WIDEF1: 37.2 -> 38.4Helped
softmax view weighting (OPSL vs OPSL-V) (ablation)OPSL · Corel5kMAP: 28.8 -> 29.6Helped
softmax view weighting (OPSL vs OPSL-V) (ablation)OPSL · ESP GameMAP: 15.3 -> 16.1Helped
joint subspace and SVM learning (OPSL) instead of best baseline OGLimage tagging · ESP GameMAP: 17.0 -> 16.1Hurt
OPSL vs best baseline (NMF-KNN)image tagging · Corel5kF1: 41.0 -> 43.3Helped
increase semantic embedding weight eta to 10 or more (ablation)OPSL · Corel5kannotation performanceHurt
subspace dimension r below 200 (ablation)OPSL · Corel5kannotation performanceHurt

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy