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mahalanobis distance

67 papers

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MD

Co-occurring keywords

metric learning (1190) out-of-distribution detection (617) distance metric (84) distance metric learning (54) representation learning (6206) kernel methods (1097) mahalanobis metric (6) support vector machine (978) large margin (23) structured prediction (396)

Papers

Metric Learning in Optimal Transport for Domain Adaptation IJCAI 2020
DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization IJCAI 2020
Provably Robust Metric Learning NIPS 2020
Simultaneous Preference and Metric Learning from Paired Comparisons NIPS 2020
Improved Few-Shot Visual Classification CVPR 2020
On Mahalanobis Distance in Functional Settings JMLR 2020
A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space COLING 2020
Few-Shot Open-Set Recognition Using Meta-Learning CVPR 2020
Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances IJCAI 2019
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations CVPR 2019
Learning Distance for Sequences by Learning a Ground Metric ICML 2019
Multi-Level Metric Learning via Smoothed Wasserstein Distance IJCAI 2018
Bilevel Distance Metric Learning for Robust Image Recognition NIPS 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks NIPS 2018
Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task EMNLP 2018
Two dimensional Large Margin Nearest Neighbor for Matrix Classification IJCAI 2017
Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps IJCAI 2017
Mahalanobis Metric Scoring Learned from Weighted Pairwise Constraints in I-Vector Speaker Recognition System INTERSPEECH 2016
Closed-Form Training of Mahalanobis Distance for Supervised Clustering CVPR 2016
Learning Local Invariant Mahalanobis Distances ICML 2015
Sample Complexity of Learning Mahalanobis Distance Metrics NIPS 2015
Beyond Mahalanobis Metric: Cayley-Klein Metric Learning CVPR 2015
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence AISTATS 2014
Large-Margin Metric Learning for Constrained Partitioning Problems ICML 2014
Metric Learning for Temporal Sequence Alignment NIPS 2014