Loss Functions

On the choice of Perception Loss Function for Learned Video Compression NeurIPS 2023 On the Dynamics Under the Unhinged Loss and Beyond JMLR 2023 On the inconsistency of separable losses for structured prediction EACL 2023 On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective NeurIPS 2023 On the Variance, Admissibility, and Stability of Empirical Risk Minimization NeurIPS 2023 On Tilted Losses in Machine Learning: Theory and Applications JMLR 2023 Ontology-aware Learning and Evaluation for Audio Tagging Interspeech 2023 Optimal Strategies for Reject Option Classifiers JMLR 2023 Order-preserving Consistency Regularization for Domain Adaptation and Generalization ICCV 2023 PAI at SemEval-2023 Task 4: A General Multi-label Classification System with Class-balanced Loss Function and Ensemble Module SemEval 2023 Patch-Level Gaze Distribution Prediction for Gaze Following WACV 2023 Penalising the biases in norm regularisation enforces sparsity NeurIPS 2023 Powerset multi-class cross entropy loss for neural speaker diarization Interspeech 2023 Probability Guided Loss for Long-Tailed Multi-Label Image Classification AAAI 2023 Proper Losses for Discrete Generative Models ICML 2023 Proper Losses, Moduli of Convexity, and Surrogate Regret Bounds COLT 2023 PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer EMNLP 2023 Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice ICML 2023 RankMixup: Ranking-Based Mixup Training for Network Calibration ICCV 2023 Reducing the Label Bias for Timestamp Supervised Temporal Action Segmentation CVPR 2023 Regression-Free Model Updates for Spoken Language Understanding ACL 2023 Regression with Sensor Data Containing Incomplete Observations ICML 2023 ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence NeurIPS 2023 Reinforced Sequence Training based Subjective Bias Correction EACL 2023 ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation NeurIPS 2023