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Methodology
← Core Methods
Machine Learning
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Core Methods
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Metric Learning
2800 directly classified papers
Papers per year
2001: 1
2002: 1
2003: 7
2004: 7
2005: 6
2006: 14
2007: 11
2008: 10
2009: 25
2010: 21
2011: 28
2012: 35
2013: 80
2014: 54
2015: 101
2016: 85
2017: 135
2018: 154
2019: 303
2020: 257
2021: 306
2022: 290
2023: 317
2024: 242
2025: 216
2026: 94
Papers
Max-Sliced Mutual Information
NIPS 2023
Inner Product-based Neural Network Similarity
NIPS 2023
Reachability-Aware Laplacian Representation in Reinforcement Learning
ICML 2023
Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling
JMLR 2023
Karma: Resource Allocation for Dynamic Demands
OSDI 2023
Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning
JMLR 2023
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition
JMLR 2023
A Randomized Subspace-based Approach for Dimensionality Reduction and Important Variable Selection
JMLR 2023
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
NIPS 2023
The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time
JMLR 2023
Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pre-training
ICCV 2023
Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance
ICCV 2023
Foreground Object Search by Distilling Composite Image Feature
ICCV 2023
CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition
ICCV 2023
Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
ICCV 2023
Stable Learning via Sparse Variable Independence
AAAI 2023
Tanimoto Random Features for Scalable Molecular Machine Learning
NIPS 2023
Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer
NIPS 2023
Tight Performance Guarantees of Imitator Policies with Continuous Actions
AAAI 2023
A Kernel Two-Sample Test for Functional Data
JMLR 2022
Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification
CVPR 2022
Pass off Fish Eyes for Pearls: Attacking Model Selection of Pre-trained Models
ACL 2022
Deep Visual Geo-Localization Benchmark
CVPR 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
CVPR 2022
Hierarchical Proxy-Based Loss for Deep Metric Learning
WACV 2022
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