← Keywords

metric learning

1189 papers

Explore in graph

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

Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning NIPS 2022
GREED: A Neural Framework for Learning Graph Distance Functions NIPS 2022
Learning With Label Noise for Image Retrieval by Selecting Interactions WACV 2022
GULP: a prediction-based metric between representations NIPS 2022
Distributionally robust weighted k-nearest neighbors NIPS 2022
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions NIPS 2022
Enhancing Adversarial Robustness for Deep Metric Learning CVPR 2022
Geometric Order Learning for Rank Estimation NIPS 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance ICML 2022
Weisfeiler-Lehman Meets Gromov-Wasserstein ICML 2022
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time ICML 2022
Max-Margin Contrastive Learning AAAI 2022
MAPS: Multimodal Attention for Product Similarity WACV 2022
Linearity-Aware Subspace Clustering AAAI 2022
One for All: Simultaneous Metric and Preference Learning over Multiple Users NIPS 2022
Variational- and metric-based deep latent space for out-of-distribution detection UAI 2022
Fine-Grained matching with multi-perspective similarity modeling for cross-modal retrieval UAI 2022
Compositional Embeddings for Multi-Label One-Shot Learning WACV 2021
Probabilistic Embeddings for Cross-Modal Retrieval CVPR 2021
Distributed Representations of Emotion Categories in Emotion Space IJCNLP 2021
Occluded Person Re-Identification With Single-Scale Global Representations ICCV 2021
Few-Shot Classification With Feature Map Reconstruction Networks CVPR 2021
MoRe: A Large-Scale Motorcycle Re-Identification Dataset WACV 2021
Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories IJCNLP 2021
Robust Small-Scale Pedestrian Detection With Cued Recall via Memory Learning ICCV 2021