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ranking loss

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metric learning (6) convolutional neural network (5) learning to rank (4) multi-label classification (4) object detection (4) multi-label learning (4) triplet loss (3) regression loss (3) large language model (3) deep neural network (3)

Papers

Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference IJCAI 2018 Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking IJCAI 2018 Concatenative Resynthesis Using Twin Networks Interspeech 2017 Learning Activity Progression in LSTMs for Activity Detection and Early Detection CVPR 2016 Minimization of Regression and Ranking Losses with Shallow Neural Networks on Automatic Sincerity Evaluation Interspeech 2016 Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval CVPR 2015 LEWIS: Latent Embeddings for Word Images and their Semantics ICCV 2015 Predtron: A Family of Online Algorithms for General Prediction Problems NeurIPS 2015 Efficient Learning of Mahalanobis Metrics for Ranking ICML 2014 Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses NeurIPS 2013 On the Consistency of Multi-Label Learning COLT 2011