loss function

Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives MIDL 2020 Circle Loss: A Unified Perspective of Pair Similarity Optimization CVPR 2020 Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization CVPR 2020 Comparing Objective Functions for Segmentation and Detection of Microaneurysms in Retinal Images MIDL 2020 Confidence-Aware Learning for Deep Neural Networks ICML 2020 Cross-Lingual Document Retrieval with Smooth Learning COLING 2020 Customizing ML Predictions for Online Algorithms ICML 2020 Deep Hierarchical Classification for Category Prediction in E-commerce System ACL 2020 Deepstrip: High-Resolution Boundary Refinement CVPR 2020 Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression AAAI 2020 Diverse dialogue generation with context dependent dynamic loss function COLING 2020 DR Loss: Improving Object Detection by Distributional Ranking CVPR 2020 Elimination of All Bad Local Minima in Deep Learning AISTATS 2020 Equalization Loss for Long-Tailed Object Recognition CVPR 2020 Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes JMLR 2020 Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes AAAI 2020 HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs AAAI 2020 Improved Natural Language Generation via Loss Truncation ACL 2020 Interactive Multi-Label CNN Learning With Partial Labels CVPR 2020 Learning by Minimizing the Sum of Ranked Range NeurIPS 2020 Learning Similarity Metrics for Numerical Simulations ICML 2020 Learning with Contrastive Examples for Data-to-Text Generation COLING 2020 Learning with Fenchel-Young losses JMLR 2020 Learning with Unsure Responses AAAI 2020 Loss Function Search for Face Recognition ICML 2020