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Metric Learning

2800 directly classified papers

Papers per year

Papers

Decoupling Makes Weakly Supervised Local Feature Better CVPR 2022
Learning To Collaborate in Decentralized Learning of Personalized Models CVPR 2022
Fine-Grained Predicates Learning for Scene Graph Generation CVPR 2022
Self-Taught Metric Learning Without Labels CVPR 2022
Cross Modal Retrieval With Querybank Normalisation CVPR 2022
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification CVPR 2022
Learning Geolocations for Cold-Start and Hard-to-Resolve Addresses via Deep Metric Learning EMNLP 2022
PECOS: Prediction for Enormous and Correlated Output Spaces JMLR 2022
Structuring Representations Using Group Invariants NIPS 2022
Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning NIPS 2022
Explaining Preferences with Shapley Values NIPS 2022
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization EMNLP 2022
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion NIPS 2022
Visualizing Paired Image Similarity in Transformer Networks WACV 2022
Template based Graph Neural Network with Optimal Transport Distances NIPS 2022
Evaluating Graph Generative Models with Contrastively Learned Features NIPS 2022
Deconfounded Representation Similarity for Comparison of Neural Networks NIPS 2022
Linearity-Aware Subspace Clustering AAAI 2022
Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation AAAI 2022
GULP: a prediction-based metric between representations NIPS 2022
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm NIPS 2022
Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching AAAI 2022
Pose-Invariant Face Recognition via Adaptive Angular Distillation AAAI 2022
Max-Margin Contrastive Learning AAAI 2022
Attention-guided Contrastive Hashing for Long-tailed Image Retrieval IJCAI 2022