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Loss Functions

1162 directly classified papers

Papers per year

Papers

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models COLING 2025
Uncertainty Weighted Gradients for Model Calibration CVPR 2025
GT-Mean Loss: A Simple Yet Effective Solution for Brightness Mismatch in Low-Light Image Enhancement ICCV 2025
Improving Accuracy and Calibration via Differentiated Deep Mutual Learning CVPR 2025
ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning EMNLP 2025
Heatmap Regression without Soft-Argmax for Facial Landmark Detection ICCV 2025
Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs NAACL 2025
Extending Temperature Scaling with Homogenizing Maps JMLR 2025
Bias-variance decompositions: the exclusive privilege of Bregman divergences JMLR 2025
DocFusion: A Unified Framework for Document Parsing Tasks ACL 2025
YNU-HPCC at SemEval-2025 Task 1: Enhancing Multimodal Idiomaticity Representation via LoRA and Hybrid Loss Optimization ACL 2025
Attention-based Conditional Random Field for Financial Fraud Detection IJCAI 2025
Attack-inspired Calibration Loss for Calibrating Crack Recognition AAAI 2025
Sequence Reducible Holdout Loss for Language Model Pretraining COLING 2024
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NIPS 2024
Soft metrics for evaluation with disagreements: an assessment COLING 2024
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024
Reward (Mis)design for Autonomous Driving (Abstract Reprint) AAAI 2024
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NIPS 2024
Evaluating Generative Language Models in Information Extraction as Subjective Question Correction COLING 2024
IR2: Information Regularization for Information Retrieval COLING 2024
ST$_k$: A Scalable Module for Solving Top-k Problems NIPS 2024
Weight-Sharing Regularization AISTATS 2024
Ordinal Classification With Distance Regularization for Robust Brain Age Prediction WACV 2024
MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract) AAAI 2024