Loss Functions

IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse IJCAI 2023 Implicit Jacobian regularization weighted with impurity of probability output ICML 2023 Implicit Training of Inference Network Models for Structured Prediction UAI 2023 Improvable Gap Balancing for Multi-Task Learning UAI 2023 Improving Chinese Pop Song and Hokkien Gezi Opera Singing Voice Synthesis by Enhancing Local Modeling EMNLP 2023 Improving Generalization Ability of Countermeasures for New Mismatch Scenario by Combining Multiple Advanced Regularization Terms Interspeech 2023 Improving Robustness with Adaptive Weight Decay NeurIPS 2023 Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function MIDL 2023 In and Out-of-Domain Text Adversarial Robustness via Label Smoothing ACL 2023 In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer NeurIPS 2023 Indirect Adversarial Losses via an Intermediate Distribution for Training GANs WACV 2023 Inequality phenomenon in l_∞-adversarial training, and its unrealized threats ICLR 2023 Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills NeurIPS 2023 Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild AAAI 2023 Is Your Noise Correction Noisy? PLS: Robustness To Label Noise With Two Stage Detection WACV 2023 Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels NeurIPS 2023 Knowledge Distillation ≈ Label Smoothing: Fact or Fallacy? EMNLP 2023 Knowledge Intensive Learning of Cutset Networks UAI 2023 KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning EMNLP 2023 L2T-DLN: Learning to Teach with Dynamic Loss Network NeurIPS 2023 Label Smoothing for Emotion Detection (Student Abstract) AAAI 2023 Language Model Pre-training on True Negatives AAAI 2023 Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification JMLR 2023 Learning Sample Relationship for Exposure Correction CVPR 2023 Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation CVPR 2023