RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression.
Yu GongGreg MoriFrederick TungPublished in: CoRR (2022)
Keyphrases
- rank order
- similarity measure
- kernel ridge regression
- reproducing kernel hilbert space
- ranking algorithm
- similarity computation
- web search
- distance measure
- euclidean distance
- gradient boosting
- content similarity
- regression model
- ranking functions
- linear regression
- regression problems
- regression algorithm
- similarity metric
- regression analysis
- regularization parameter
- link analysis
- semantic similarity
- ranked list
- parameter selection
- learning to rank
- distance function
- least squares
- training set