Loss Functions

Robust Deep Ordinal Regression under Label Noise ACML 2020 Robust Learning with the Hilbert-Schmidt Independence Criterion ICML 2020 Robust Machine Reading Comprehension by Learning Soft labels COLING 2020 Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition CVPR 2020 Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions AISTATS 2020 Self-Distillation as Instance-Specific Label Smoothing NeurIPS 2020 Semantic Label Smoothing for Sequence to Sequence Problems EMNLP 2020 Softmax Dissection: Towards Understanding Intra- and Inter-Class Objective for Embedding Learning AAAI 2020 Speech Emotion Recognition with Discriminative Feature Learning Interspeech 2020 State Sequence Pooling Training of Acoustic Models for Keyword Spotting Interspeech 2020 Stochastic Loss Function AAAI 2020 StochasticRank: Global Optimization of Scale-Free Discrete Functions ICML 2020 Structured Tuning for Semantic Role Labeling ACL 2020 SuperLoss: A Generic Loss for Robust Curriculum Learning NeurIPS 2020 Supervised learning: no loss no cry ICML 2020 Token-level Adaptive Training for Neural Machine Translation EMNLP 2020 Towards a Better Global Loss Landscape of GANs NeurIPS 2020 Towards a Better Understanding of Label Smoothing in Neural Machine Translation AACL 2020 Towards Interpretation of Pairwise Learning AAAI 2020 Transferring and Regularizing Prediction for Semantic Segmentation CVPR 2020 Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels ICML 2020 Understanding the Disharmony between Weight Normalization Family and Weight Decay AAAI 2020 UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation EMNLP 2020 Unsupervised Metric Relocalization Using Transform Consistency Loss CoRL 2020 Using a Penalty-based Loss Re-estimation Method to Improve Implicit Discourse Relation Classification COLING 2020