Metric Learning
2,938 papers
Papers per year
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Papers
Multi-Vector Attention Models for Deep Re-ranking
EMNLP 2021
Mutual Information Enhanced Training for Speaker Embedding
Interspeech 2021
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection
WACV 2021
Nearest Neighbor Classifier Embedded Network for Active Learning
AAAI 2021
Nearest neighbour approaches for Emotion Detection in Tweets
EACL 2021
NEO: A System for Identifying New Emerging Occupation from Job Ads
AAAI 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
NeurIPS 2021
Neural Distance Embeddings for Biological Sequences
NeurIPS 2021
Neural Tangent Kernel Maximum Mean Discrepancy
NeurIPS 2021
Node-wise Localization of Graph Neural Networks
IJCAI 2021
Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection
CVPR 2021
Non-Parametric Few-Shot Learning for Word Sense Disambiguation
NAACL 2021
Normalized Human Pose Features for Human Action Video Alignment
ICCV 2021
Oblivious Data for Fairness with Kernels
JMLR 2021
Occluded Person Re-Identification With Single-Scale Global Representations
ICCV 2021
Offline Reinforcement Learning with Pseudometric Learning
ICML 2021
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
NeurIPS 2021
On Episodes, Prototypical Networks, and Few-Shot Learning
NeurIPS 2021
Online Multiple Object Tracking With Cross-Task Synergy
CVPR 2021
On Locality of Local Explanation Models
NeurIPS 2021
On Semantic Similarity in Video Retrieval
CVPR 2021
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
ICML 2021
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations
CVPR 2021
Parametric Graph for Unimodal Ranking Bandit
ICML 2021
Partial Person Re-Identification With Part-Part Correspondence Learning
CVPR 2021