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metric learning

1189 papers

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Also known as

FTML UML MLKML ML SPD DML MNR

Co-occurring keywords

representation learning (6174) few-shot learning (3390) image retrieval (599) embedding learning (609) person re-identification (554) convolutional neural network (4216) contrastive learning (3979) triplet loss (192) feature embedding (312) feature learning (1309)

Papers

SEC: Context-Aware Metric Learning for Efficient Emotion Recognition in Conversation ACL 2024
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks EMNLP 2024
An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval NIPS 2024
CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition CVPR 2024
Learning to Embed Distributions via Maximum Kernel Entropy NIPS 2024
Heterogeneous Test-Time Training for Multi-Modal Person Re-identification AAAI 2024
Understanding the Role of the Projector in Knowledge Distillation AAAI 2024
Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification AAAI 2024
FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval AAAI 2024
Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to-Image Person Re-identification AAAI 2024
Relational Proxy Loss for Audio-Text based Keyword Spotting INTERSPEECH 2024
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality CVPR 2024
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning EMNLP 2024
Primitive-Based 3D Human-Object Interaction Modelling and Programming AAAI 2024
Neural Embeddings for kNN Search in Biological Sequence AAAI 2024
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models CVPR 2024
Consistent Hierarchical Classification with A Generalized Metric AISTATS 2024
Improving Cross-lingual Transfer with Contrastive Negative Learning and Self-training COLING 2024
Latent Functional Maps: a spectral framework for representation alignment NIPS 2024
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus NIPS 2024
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence NIPS 2024
Learning Label-Specific Multiple Local Metrics for Multi-Label Classification IJCAI 2024
SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning AAAI 2024
Beyond Reference: Evaluating High Quality Translations Better than Human References EMNLP 2024
Hyperspherical Classification with Dynamic Label-to-Prototype Assignment CVPR 2024