metric learning

Recurrent Pixel Embedding for Instance Grouping CVPR 2018 Relative Attribute Learning with Deep Attentive Cross-image Representation ACML 2018 RetGK: Graph Kernels based on Return Probabilities of Random Walks NeurIPS 2018 Revisiting (ε, γ, τ)-similarity learning for domain adaptation NeurIPS 2018 Ring Loss: Convex Feature Normalization for Face Recognition CVPR 2018 Robust and Discriminative Speaker Embedding via Intra-Class Distance Variance Regularization Interspeech 2018 Speech Emotion Recognition from Variable-Length Inputs with Triplet Loss Function Interspeech 2018 TADAM: Task dependent adaptive metric for improved few-shot learning NeurIPS 2018 Task-Embedded Control Networks for Few-Shot Imitation Learning CoRL 2018 The Weighted Kendall and High-order Kernels for Permutations ICML 2018 Training Utterance-level Embedding Networks for Speaker Identification and Verification Interspeech 2018 Tree Edit Distance Learning via Adaptive Symbol Embeddings ICML 2018 Triplet-Center Loss for Multi-View 3D Object Retrieval CVPR 2018 Triplet Loss Based Cosine Similarity Metric Learning for Text-independent Speaker Recognition Interspeech 2018 Triplet Network with Attention for Speaker Diarization Interspeech 2018 Unsupervised Domain Adaptation With Similarity Learning CVPR 2018 Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding CVPR 2018 Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification CVPR 2018 Virtual Class Enhanced Discriminative Embedding Learning NeurIPS 2018 Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking IJCAI 2018 Attentive Recurrent Comparators ICML 2017 Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-Identification CVPR 2017 Conditional Similarity Networks CVPR 2017 Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network CVPR 2017 Deep Kernels for Optimizing Locomotion Controllers CoRL 2017