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Metric Learning

2800 directly classified papers

Papers per year

Papers

Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy AAAI 2019
Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning ICCV 2019
Text Assisted Insight Ranking Using Context-Aware Memory Network AAAI 2019
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin AAAI 2019
Semantic Attribute Matching Networks CVPR 2019
A Compact Embedding for Facial Expression Similarity CVPR 2019
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval CVPR 2019
Learning to Match via Inverse Optimal Transport JMLR 2019
Metric Learning for Image Registration CVPR 2019
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping CVPR 2019
f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition AAAI 2019
Function-Space Distributions over Kernels NIPS 2019
Adversarial Learning With Margin-Based Triplet Embedding Regularization ICCV 2019
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning EMNLP 2019
Soft Labels for Ordinal Regression CVPR 2019
On discriminative learning of prediction uncertainty ICML 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks EMNLP 2019
Supporting content evaluation of student summaries by Idea Unit embedding ACL 2019
Optimal Transport-based Alignment of Learned Character Representations for String Similarity ACL 2019
Ensemble Deep Manifold Similarity Learning Using Hard Proxies CVPR 2019
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues ACL 2019
Input Similarity from the Neural Network Perspective NIPS 2019
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network ACL 2019
Similarity Learning via Kernel Preserving Embedding AAAI 2019
Learning Incremental Triplet Margin for Person Re-Identification AAAI 2019