Metric Learning

Joint Representation Learning of Legislator and Legislation for Roll Call Prediction IJCAI 2020 Kernel interpolation with continuous volume sampling ICML 2020 Label-Attended Hashing for Multi-Label Image Retrieval IJCAI 2020 Ladder Loss for Coherent Visual-Semantic Embedding AAAI 2020 Large Scale Video Representation Learning via Relational Graph Clustering CVPR 2020 Learning a distance function with a Siamese network to localize anomalies in videos WACV 2020 Learning an Unreferenced Metric for Online Dialogue Evaluation ACL 2020 Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching AAAI 2020 Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction NeurIPS 2020 Learning Flat Latent Manifolds with VAEs ICML 2020 Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data IJCAI 2020 Learning Geometric Word Meta-Embeddings ACL 2020 Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis AAAI 2020 Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation CoRL 2020 Learning Selective Self-Mutual Attention for RGB-D Saliency Detection CVPR 2020 Learning Similarity Metrics for Numerical Simulations ICML 2020 Learning to Approximate a Bregman Divergence NeurIPS 2020 Learning to Learn Kernels with Variational Random Features ICML 2020 Learning to Link ICLR 2020 Learning to Match on Graph for Fashion Compatibility Modeling AAAI 2020 Learning transport cost from subset correspondence ICLR 2020 Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition AAAI 2020 Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications IJCAI 2020 Metric Learning in Optimal Transport for Domain Adaptation IJCAI 2020 Metric Learning Loss Functions to Reduce Domain Mismatch in the x-Vector Space for Language Recognition Interspeech 2020