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Metric Learning

172 directly classified papers

Papers per year

Papers

NEO: A System for Identifying New Emerging Occupation from Job Ads AAAI 2021
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning ICCV 2021
Multi-level Distance Regularization for Deep Metric Learning AAAI 2021
Learning a Few-shot Embedding Model with Contrastive Learning AAAI 2021
Robust and Decomposable Average Precision for Image Retrieval NIPS 2021
MTEQA at WMT21 Metrics Shared Task EMNLP 2021
Error Identification for Machine Translation with Metric Embedding and Attention EMNLP 2021
Asymmetric Metric Learning for Knowledge Transfer CVPR 2021
Pairwise Learning with Differential Privacy Guarantees AAAI 2020
Extractive Summarization as Text Matching ACL 2020
Neural Methods for Point-wise Dependency Estimation NIPS 2020
Adaptive Cross-Modal Embeddings for Image-Text Alignment AAAI 2020
Variational Adversarial Kernel Learned Imitation Learning AAAI 2020
Generalization Bound of Gradient Descent for Non-Convex Metric Learning NIPS 2020
Metric Learning Loss Functions to Reduce Domain Mismatch in the x-Vector Space for Language Recognition INTERSPEECH 2020
A Metric Learning Approach to Misogyny Categorization ACL 2020
Model-Agnostic Metric for Zero-Shot Learning WACV 2020
Boosting Standard Classification Architectures Through a Ranking Regularizer WACV 2020
Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020
Cross-Lingual Speaker Verification with Domain-Balanced Hard Prototype Mining and Language-Dependent Score Normalization INTERSPEECH 2020
Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification CVPR 2020
Improved Few-Shot Visual Classification CVPR 2020
RankMI: A Mutual Information Maximizing Ranking Loss CVPR 2020
Boosting Few-Shot Learning With Adaptive Margin Loss CVPR 2020
Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning AAAI 2020