Co-occurring keywords · papers mentioning both
Papers
Individual Fairness Guarantees for Neural Networks
IJCAI 2022
Contrastive Out-of-Distribution Detection for Pretrained Transformers
EMNLP 2021
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
NeurIPS 2021
Measuring Biases of Word Embeddings: What Similarity Measures and Descriptive Statistics to Use?
NAACL 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
NeurIPS 2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection
AAAI 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection
ICLR 2021
A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space
COLING 2020
A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric
EMNLP 2020
DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization
IJCAI 2020
Few-Shot Open-Set Recognition Using Meta-Learning
CVPR 2020
Improved Few-Shot Visual Classification
CVPR 2020
Metric Learning in Optimal Transport for Domain Adaptation
IJCAI 2020
On Mahalanobis Distance in Functional Settings
JMLR 2020
Provably Robust Metric Learning
NeurIPS 2020
Simultaneous Preference and Metric Learning from Paired Comparisons
NeurIPS 2020
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
CVPR 2019
Learning Distance for Sequences by Learning a Ground Metric
ICML 2019
Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances
IJCAI 2019
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
NeurIPS 2018
Bilevel Distance Metric Learning for Robust Image Recognition
NeurIPS 2018
Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task
EMNLP 2018
Multi-Level Metric Learning via Smoothed Wasserstein Distance
IJCAI 2018
Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps
IJCAI 2017
Two dimensional Large Margin Nearest Neighbor for Matrix Classification
IJCAI 2017