Metric Learning

Efficient Classification with Adaptive KNN AAAI 2021 Efficient Nearest Neighbor Language Models EMNLP 2021 Efficient Statistical Tests: A Neural Tangent Kernel Approach ICML 2021 Embedding Transfer With Label Relaxation for Improved Metric Learning CVPR 2021 EnSidNet: Enhanced Hybrid Siamese-Deep Network for grouping clinical trials into drug-development pathways NAACL 2021 Entropy Partial Transport with Tree Metrics: Theory and Practice AISTATS 2021 Error Identification for Machine Translation with Metric Embedding and Attention EMNLP 2021 Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings EMNLP 2021 Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning CVPR 2021 Facial Expression Recognition in the Wild via Deep Attentive Center Loss WACV 2021 Feature Interactive Representation for Point Cloud Registration ICCV 2021 Feature Space Targeted Attacks by Statistic Alignment IJCAI 2021 Few-Shot Classification With Feature Map Reconstruction Networks CVPR 2021 Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks EMNLP 2021 Few-shot Intent Classification and Slot Filling with Retrieved Examples NAACL 2021 Few-shot Learning for Slot Tagging with Attentive Relational Network EACL 2021 Few-Shot Partial-Label Learning IJCAI 2021 Flow-based Alignment Approaches for Probability Measures in Different Spaces AISTATS 2021 Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection CVPR 2021 FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding CVPR 2021 Gait Recognition in the Wild: A Benchmark ICCV 2021 GemBag: Group Estimation of Multiple Bayesian Graphical Models JMLR 2021 Generalization Guarantee of SGD for Pairwise Learning NeurIPS 2021 Generalized Shape Metrics on Neural Representations NeurIPS 2021 GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks AAAI 2021