Loss Functions

Weston-Watkins Hinge Loss and Ordered Partitions NeurIPS 2020 X-CAL: Explicit Calibration for Survival Analysis NeurIPS 2020 You Only Train Once: Loss-Conditional Training of Deep Networks ICLR 2020 Accurate, reliable and fast robustness evaluation NeurIPS 2019 Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression ICCV 2019 Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment ICML 2019 Adversarial Regularization for End-to-End Robust Speaker Verification Interspeech 2019 A General and Adaptive Robust Loss Function CVPR 2019 Aggregation Cross-Entropy for Sequence Recognition CVPR 2019 A Logic-Driven Framework for Consistency of Neural Models EMNLP 2019 A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation EMNLP 2019 AM-LFS: AutoML for Loss Function Search ICCV 2019 Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction ICCV 2019 Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty ICCV 2019 An Embedding Framework for Consistent Polyhedral Surrogates NeurIPS 2019 Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval AAAI 2019 Answers Unite! Unsupervised Metrics for Reinforced Summarization Models EMNLP 2019 A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing EMNLP 2019 A Regularization-based Framework for Bilingual Grammar Induction EMNLP 2019 A Walkthrough for the Principle of Logit Separation IJCAI 2019 Beyond Gradient Descent for Regularized Segmentation Losses CVPR 2019 Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration NeurIPS 2019 Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting NeurIPS 2019 BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions EMNLP 2019 BN-invariant Sharpness Regularizes the Training Model to Better Generalization IJCAI 2019