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Metric Learning

2800 directly classified papers

Papers per year

Papers

Metrics of Calibration for Probabilistic Predictions JMLR 2022
PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval AAAI 2022
Cross-Modal Coherence for Text-to-Image Retrieval AAAI 2022
Binary Encoded Word Mover’s Distance ACL 2022
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression JMLR 2022
Deep speaker embedding with frame-constrained training strategy for speaker verification INTERSPEECH 2022
Project and Forget: Solving Large-Scale Metric Constrained Problems JMLR 2022
Attention-guided Contrastive Hashing for Long-tailed Image Retrieval IJCAI 2022
Adaptive Graph Convolutional Network for Knowledge Graph Entity Alignment EMNLP 2022
On Episodes, Prototypical Networks, and Few-Shot Learning NIPS 2021
Analyzing Deep Neural Network's Transferability via Frechet Distance WACV 2021
Looking Wider for Better Adaptive Representation in Few-Shot Learning AAAI 2021
Oblivious Data for Fairness with Kernels JMLR 2021
Facial Expression Recognition in the Wild via Deep Attentive Center Loss WACV 2021
Kernel Operations on the GPU, with Autodiff, without Memory Overflows JMLR 2021
Recovering Lexically and Semantically Reused Texts ACL 2021
GemBag: Group Estimation of Multiple Bayesian Graphical Models JMLR 2021
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes NIPS 2021
Implicit Kernel Attention AAAI 2021
RaSE: Random Subspace Ensemble Classification JMLR 2021
Contextual Similarity Aggregation with Self-attention for Visual Re-ranking NIPS 2021
Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion NIPS 2021
A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval NIPS 2021
Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories ACL 2021
Anchor-based Bilingual Word Embeddings for Low-Resource Languages ACL 2021