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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

Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding AAAI 2022
TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval AAAI 2022
Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings AAAI 2022
GREED: A Neural Framework for Learning Graph Distance Functions NIPS 2022
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback AISTATS 2022
GULP: a prediction-based metric between representations NIPS 2022
Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval EMNLP 2022
Acoustic Feature Shuffling Network for Text-independent Speaker Verification INTERSPEECH 2022
Asymmetric Proxy Loss for Multi-View Acoustic Word Embeddings INTERSPEECH 2022
Dual Attention Networks for Few-Shot Fine-Grained Recognition AAAI 2022
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention AAAI 2022
Distributionally robust weighted k-nearest neighbors NIPS 2022
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators NIPS 2022
Adaptive Rectangle Loss for Speaker Verification INTERSPEECH 2022
Enhancing Adversarial Robustness for Deep Metric Learning CVPR 2022
On Metric Learning for Audio-Text Cross-Modal Retrieval INTERSPEECH 2022
Interact, Embed, and EnlargE: Boosting Modality-Specific Representations for Multi-Modal Person Re-identification AAAI 2022
Target Confusion in End-to-end Speaker Extraction: Analysis and Approaches INTERSPEECH 2022
Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval AAAI 2022
Adversarial Reweighting for Speaker Verification Fairness INTERSPEECH 2022
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough AAAI 2022
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning NIPS 2022
Pairwise Supervision Can Provably Elicit a Decision Boundary AISTATS 2022
Geometric Order Learning for Rank Estimation NIPS 2022
Improving Voice Trigger Detection with Metric Learning INTERSPEECH 2022