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Metric Learning

2800 directly classified papers

Papers per year

Papers

Learning Intra-Batch Connections for Deep Metric Learning ICML 2021
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search ICML 2021
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data ICML 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NIPS 2021
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels ICML 2021
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval ACL 2021
Learning Relation Alignment for Calibrated Cross-modal Retrieval IJCNLP 2021
Self-Alignment Pretraining for Biomedical Entity Representations NAACL 2021
Matching on Sets: Conquer Occluded Person Re-identification Without Alignment AAAI 2021
Spatio-Temporal Difference Descriptor for Skeleton-Based Action Recognition AAAI 2021
Offline Reinforcement Learning with Pseudometric Learning ICML 2021
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection WACV 2021
Large-Margin Contrastive Learning with Distance Polarization Regularizer ICML 2021
Representations of Language Varieties Are Reliable Given Corpus Similarity Measures EACL 2021
Few-shot Learning for Slot Tagging with Attentive Relational Network EACL 2021
Discriminating Homonymy from Polysemy in Wordnets: English, Spanish and Polish Nouns EACL 2021
Class-Wise Metric Scaling for Improved Few-Shot Classification WACV 2021
Learning Target Candidate Association To Keep Track of What Not To Track ICCV 2021
Implicit Kernel Attention AAAI 2021
Few-Shot Partial-Label Learning IJCAI 2021
Rescuing Deep Hashing from Dead Bits Problem IJCAI 2021
Metric Learning for comparison of HMMs using Graph Neural Networks ACML 2021
Efficient Classification with Adaptive KNN AAAI 2021
Dual Reweighting Domain Generalization for Face Presentation Attack Detection IJCAI 2021
Gait Recognition in the Wild: A Benchmark ICCV 2021