Loss Functions

PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction CVPR 2022 Polygon-to-Polygon Distance Loss for Rotated Object Detection AAAI 2022 PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions ICLR 2022 Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization NeurIPS 2022 Pruning’s Effect on Generalization Through the Lens of Training and Regularization NeurIPS 2022 PYLON: A PyTorch Framework for Learning with Constraints AAAI 2022 Ranking-Based Siamese Visual Tracking CVPR 2022 Ranking-Constrained Learning with Rationales for Text Classification ACL 2022 RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks CVPR 2022 Reconstructing Test Labels from Noisy Loss Functions AISTATS 2022 Re-Examining Calibration: The Case of Question Answering EMNLP 2022 Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification ACL 2022 Regularizing Transformer-based Acoustic Models by Penalizing Attention Weights Interspeech 2022 Relational Surrogate Loss Learning ICLR 2022 RelaxLoss: Defending Membership Inference Attacks without Losing Utility ICLR 2022 Resolving Training Biases via Influence-based Data Relabeling ICLR 2022 Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough AAAI 2022 Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection CVPR 2022 Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? ICML 2022 Revisiting Over-Smoothness in Text to Speech ACL 2022 Robustness and Reliability When Training With Noisy Labels AISTATS 2022 RoLNiP: Robust Learning Using Noisy Pairwise Comparisons ACML 2022 SCALoss: Side and Corner Aligned Loss for Bounding Box Regression AAAI 2022 SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information CVPR 2022 Semantically Stealthy Adversarial Attacks Against Segmentation Models WACV 2022