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Metric Learning

2800 directly classified papers

Papers per year

Papers

Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection CVPR 2021
Continuous Speech Separation Using Speaker Inventory for Long Recording INTERSPEECH 2021
Manifold-Aware Deep Clustering: Maximizing Angles Between Embedding Vectors Based on Regular Simplex INTERSPEECH 2021
Supervised Tree-Wasserstein Distance ICML 2021
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression ICML 2021
Heterogeneous Relational Complement for Vehicle Re-Identification ICCV 2021
Towards a Universal Model for Cross-Dataset Crowd Counting ICCV 2021
Multiple Pairwise Ranking Networks for Personalized Video Summarization ICCV 2021
Pseudo-Loss Confidence Metric for Semi-Supervised Few-Shot Learning ICCV 2021
Do Different Deep Metric Learning Losses Lead to Similar Learned Features? ICCV 2021
Progressive One-shot Human Parsing AAAI 2021
Normalized Human Pose Features for Human Action Video Alignment ICCV 2021
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning ICCV 2021
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics NIPS 2021
Multi-Vector Attention Models for Deep Re-ranking EMNLP 2021
Neural Snowball for Few-Shot Relation Learning AAAI 2020
Who Likes What? — SplitLBI in Exploring Preferential Diversity of Ratings AAAI 2020
Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning AAAI 2020
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks AAAI 2020
Online Metric Learning for Multi-Label Classification AAAI 2020
Unsupervised Metric Learning with Synthetic Examples AAAI 2020
Active Ordinal Querying for Tuplewise Similarity Learning AAAI 2020
Pairwise Learning with Differential Privacy Guarantees AAAI 2020
Dysarthric Speech Recognition Based on Deep Metric Learning INTERSPEECH 2020
GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems EMNLP 2020