Metric Learning

Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval CVPR 2017 Generative Local Metric Learning for Kernel Regression NeurIPS 2017 GMS: Grid-based Motion Statistics for Fast, Ultra-Robust Feature Correspondence CVPR 2017 Hierarchical Multimodal Metric Learning for Multimodal Classification CVPR 2017 Identifying First-Person Camera Wearers in Third-Person Videos CVPR 2017 Image Pivoting for Learning Multilingual Multimodal Representations EMNLP 2017 Improved Graph Laplacian via Geometric Self-Consistency NeurIPS 2017 Improved Strongly Adaptive Online Learning using Coin Betting AISTATS 2017 Interspecies Knowledge Transfer for Facial Keypoint Detection CVPR 2017 Joint Detection and Identification Feature Learning for Person Search CVPR 2017 Joint Dimensionality Reduction and Metric Learning: A Geometric Take ICML 2017 Joint Intensity and Spatial Metric Learning for Robust Gait Recognition CVPR 2017 Kernel functions based on triplet comparisons NeurIPS 2017 L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space CVPR 2017 Label Efficient Learning of Transferable Representations acrosss Domains and Tasks NeurIPS 2017 Learning an Invariant Hilbert Space for Domain Adaptation CVPR 2017 Learning A Structured Optimal Bipartite Graph for Co-Clustering NeurIPS 2017 Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval CVPR 2017 Learning Deep Binary Descriptor With Multi-Quantization CVPR 2017 Learning Deep Match Kernels for Image-Set Classification CVPR 2017 Learning Deep Semantic Embeddings for Cross-Modal Retrieval ACML 2017 Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NeurIPS 2017 Learning Low-Dimensional Metrics NeurIPS 2017 Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps IJCAI 2017 Learning Similarity Functions for Pronunciation Variations Interspeech 2017