loss function

Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation ICCV 2019 Deep Single Image Camera Calibration With Radial Distortion CVPR 2019 Deep Speaker Embedding Extraction with Channel-Wise Feature Responses and Additive Supervision Softmax Loss Function Interspeech 2019 Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations CVPR 2019 DTWNet: a Dynamic Time Warping Network NeurIPS 2019 Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification ACML 2019 Focus Is All You Need: Loss Functions for Event-Based Vision CVPR 2019 f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition AAAI 2019 Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression CVPR 2019 Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer AAAI 2019 Inter-Class Angular Loss for Convolutional Neural Networks AAAI 2019 L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise NeurIPS 2019 Learning Active Contour Models for Medical Image Segmentation CVPR 2019 Libra R-CNN: Towards Balanced Learning for Object Detection CVPR 2019 Locating Objects Without Bounding Boxes CVPR 2019 Lossless or Quantized Boosting with Integer Arithmetic ICML 2019 Metric-Optimized Example Weights ICML 2019 Multiclass Boosting: Margins, Codewords, Losses, and Algorithms JMLR 2019 Multilabel reductions: what is my loss optimising? NeurIPS 2019 Multi-objective training of Generative Adversarial Networks with multiple discriminators ICML 2019 Multi-Observation Regression AISTATS 2019 Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning CVPR 2019 On Single Source Robustness in Deep Fusion Models NeurIPS 2019 On the Calibration of Multiclass Classification with Rejection NeurIPS 2019 Optimizing the F-Measure for Threshold-Free Salient Object Detection ICCV 2019