RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression.
Yu GongGreg MoriFrederick TungPublished in: ICML (2022)
Keyphrases
- reproducing kernel hilbert space
- rank order
- kernel ridge regression
- regression model
- ranking algorithm
- similarity measure
- web search
- distance measure
- similarity computation
- regression problems
- prior information
- similarity scores
- mutual reinforcement
- model selection
- support vector
- semantic similarity
- regularization parameter
- individual features
- similarity function
- content similarity
- bipartite ranking
- learning to rank
- euclidean distance
- ranked list
- link analysis
- similarity metric
- ranking functions
- kernel methods
- cross validation
- regression algorithm
- distance function
- loss function
- denoising
- gradient boosting
- pairwise
- feature space
- training data