Loss Functions

Style-Aware Normalized Loss for Improving Arbitrary Style Transfer CVPR 2021 Understanding and Simplifying Perceptual Distances CVPR 2021 When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking NeurIPS 2021 A Context-Aware Loss Function for Action Spotting in Soccer Videos CVPR 2020 Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task EMNLP 2020 An Investigation Into the Stochasticity of Batch Whitening CVPR 2020 Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution CVPR 2020 Circle Loss: A Unified Perspective of Pair Similarity Optimization CVPR 2020 Curriculum Loss: Robust Learning and Generalization against Label Corruption ICLR 2020 Dice Loss for Data-imbalanced NLP Tasks ACL 2020 Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression AAAI 2020 Distribution-Aware Coordinate Representation for Human Pose Estimation CVPR 2020 Hierarchical Modes Exploring in Generative Adversarial Networks AAAI 2020 Learning Augmentation Network via Influence Functions CVPR 2020 Learning From Noisy Anchors for One-Stage Object Detection CVPR 2020 Mis-Classified Vector Guided Softmax Loss for Face Recognition AAAI 2020 On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks AAAI 2020 Region Normalization for Image Inpainting AAAI 2020 Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition CVPR 2020 Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training CVPR 2020 Softmax Dissection: Towards Understanding Intra- and Inter-Class Objective for Embedding Learning AAAI 2020 Stochastic Loss Function AAAI 2020 Token-level Adaptive Training for Neural Machine Translation EMNLP 2020 Using Context in Neural Machine Translation Training Objectives ACL 2020 A General and Adaptive Robust Loss Function CVPR 2019