metric learning

iMetricGAN: Intelligibility Enhancement for Speech-in-Noise Using Generative Adversarial Network-Based Metric Learning Interspeech 2020 Improved Few-Shot Visual Classification CVPR 2020 Improved Visual-Semantic Alignment for Zero-Shot Object Detection AAAI 2020 Improving Image Captioning Evaluation by Considering Inter References Variance ACL 2020 Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance EMNLP 2020 In Defence of Metric Learning for Speaker Recognition Interspeech 2020 Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness 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 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 RGB-D Feature Embeddings for Unseen Object Instance Segmentation CoRL 2020 Learning Similarity Metrics for Numerical Simulations ICML 2020 Learning Task-aware Local Representations for Few-shot Learning IJCAI 2020 Learning to Approximate a Bregman Divergence NeurIPS 2020 Learning to Link ICLR 2020 Learning to Match on Graph for Fashion Compatibility Modeling AAAI 2020 Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition AAAI 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 metric-learn: Metric Learning Algorithms in Python JMLR 2020 Minimizing FLOPs to Learn Efficient Sparse Representations ICLR 2020 Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval AAAI 2020 Model-Agnostic Metric for Zero-Shot Learning WACV 2020