conftrace_
← Core Methods
Machine Learning › Core Methods ›

Metric Learning

2,854 papers

Papers per year

6
21
102
261
222
'05
'10
'15
'20
'25

Papers

Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning ICML 2013
Learning Fair Representations ICML 2013
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels ICML 2013
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions ICML 2013
Riemannian Similarity Learning ICML 2013
Fast Image Tagging ICML 2013
Predictable Dual-View Hashing ICML 2013
Scale Invariant Conditional Dependence Measures ICML 2013
Learning Bilinear Model for Matching Queries and Documents JMLR 2013
A Binary-Classification-Based Metric between Time-Series Distributions and Its Use in Statistical and Learning Problems JMLR 2013
Maximum Mean Discrepancy Imitation Learning RSS 2013
Super-Bit Locality-Sensitive Hashing NIPS 2012
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NIPS 2012
Supervised Learning with Similarity Functions NIPS 2012
Non-linear Metric Learning NIPS 2012
Parametric Local Metric Learning for Nearest Neighbor Classification NIPS 2012
Hamming Distance Metric Learning NIPS 2012
Co-Regularized Hashing for Multimodal Data NIPS 2012
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification NIPS 2012
Gradient-based kernel method for feature extraction and variable selection NIPS 2012
Probabilistic n-Choose-k Models for Classification and Ranking NIPS 2012
Isotropic Hashing NIPS 2012
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NIPS 2012
A new metric on the manifold of kernel matrices with application to matrix geometric means NIPS 2012
Learning from Distributions via Support Measure Machines NIPS 2012