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Loss Functions

122 directly classified papers

Papers per year

Papers

Boosted Conformal Prediction Intervals NIPS 2024
Decoupled Kullback-Leibler Divergence Loss NIPS 2024
Batch Normalization Is Blind to the First and Second Derivatives of the Loss AAAI 2024
Perception-Oriented Single Image Super-Resolution Using Optimal Objective Estimation CVPR 2023
Samsung Research China - Beijing at SemEval-2023 Task 2: An AL-R Model for Multilingual Complex Named Entity Recognition SEMEVAL 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection CVPR 2023
Realistic Saliency Guided Image Enhancement CVPR 2023
Two-Way Multi-Label Loss CVPR 2023
Dual Focal Loss for Calibration ICML 2023
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision CVPR 2023
TaskMet: Task-driven Metric Learning for Model Learning NIPS 2023
Correlation Loss: Enforcing Correlation between Classification and Localization AAAI 2023
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection CVPR 2023
A Unified Framework for Rank-based Loss Minimization NIPS 2023
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention EMNLP 2022
Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study EMNLP 2022
Towards Robust k-Nearest-Neighbor Machine Translation EMNLP 2022
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation EMNLP 2022
Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection CVPR 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration CVPR 2022
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency ACL 2022
BRIO: Bringing Order to Abstractive Summarization ACL 2022
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo CVPR 2022
Balanced MSE for Imbalanced Visual Regression CVPR 2022
C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection CVPR 2022