cross entropy

ProFuser: Progressive Fusion of Large Language Models AAAI 2026 A Two-Stage Learning-to-Defer Approach for Multi-Task Learning ICML 2025 A Unifying Information-theoretic Perspective on Evaluating Generative Models AAAI 2025 Large Language Models to Diffusion Finetuning ICML 2025 PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models EMNLP 2025 SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning AAAI 2025 A 4-Approximation Algorithm for Min Max Correlation Clustering AISTATS 2024 AISPACE at SemEval-2024 task 8: A Class-balanced Soft-voting System for Detecting Multi-generator Machine-generated Text SemEval 2024 Classifier Calibration with ROC-Regularized Isotonic Regression AISTATS 2024 How Classification Baseline Works for Deep Metric Learning: A Perspective of Metric Space ACML 2024 Label Confidence Weighted Learning for Target-level Sentence Simplification EMNLP 2024 Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model ICML 2024 OOD Aware Supervised Contrastive Learning WACV 2024 Soft metrics for evaluation with disagreements: an assessment COLING 2024 Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy NeurIPS 2023 In-Context Demonstration Selection with Cross Entropy Difference EMNLP 2023 Model Calibration in Dense Classification with Adaptive Label Perturbation ICCV 2023 Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective CVPR 2023 Unifying Distribution Alignment as a Loss for Imbalanced Semi-Supervised Learning WACV 2023 A Probabilistic Graph Coupling View of Dimension Reduction NeurIPS 2022 Are All Losses Created Equal: A Neural Collapse Perspective NeurIPS 2022 ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation COLING 2022 Online Continual Learning through Mutual Information Maximization ICML 2022 The Tree Loss: Improving Generalization with Many Classes AISTATS 2022 Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels NeurIPS 2021