Loss Functions

CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias IJCAI 2022 Calibrating Deep Neural Networks by Pairwise Constraints CVPR 2022 Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study EMNLP 2022 Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates EMNLP 2022 Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring ICLR 2022 Combating the instability of mutual information-based losses via regularization UAI 2022 Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks NeurIPS 2022 Compositional Training for End-to-End Deep AUC Maximization ICLR 2022 Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning ICML 2022 Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss AAAI 2022 Debiasing Neural Retrieval via In-batch Balancing Regularization NAACL 2022 Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data MLHC 2022 Differentiable Top-k Classification Learning ICML 2022 Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning EMNLP 2022 Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction ACL 2022 Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation ACL 2022 Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation NAACL 2022 Dropout as a Regularizer of Interaction Effects AISTATS 2022 Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo CVPR 2022 Enhancing Classifier Conservativeness and Robustness by Polynomiality CVPR 2022 Equalized Focal Loss for Dense Long-Tailed Object Detection CVPR 2022 Evaluating the Knowledge Dependency of Questions EMNLP 2022 Exploring Multi-task Learning Based Gender Recognition and Age Estimation for Class-imbalanced Data Interspeech 2022 Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization ACL 2022 Federated Learning with Label Distribution Skew via Logits Calibration ICML 2022