cross-entropy loss

ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024 Decoupled Kullback-Leibler Divergence Loss NeurIPS 2024 DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection AAAI 2024 EMO: EARTH MOVER DISTANCE OPTIMIZATION FOR AUTO-REGRESSIVE LANGUAGE MODELING ICLR 2024 Enhancing Arguments Recognition for Financial Mathematical Reasoning over Hybrid Data EMNLP 2024 Exploring Weight Balancing on Long-Tailed Recognition Problem ICLR 2024 How to Evaluate Behavioral Models AAAI 2024 How to Train the Teacher Model for Effective Knowledge Distillation ECCV 2024 Improving Antibody Humanness Prediction using Patent Data ICML 2024 Neural Collapse for Unconstrained Feature Model under Cross-entropy Loss with Imbalanced Data JMLR 2024 Puer at SemEval-2024 Task 2: A BioLinkBERT Approach to Biomedical Natural Language Inference SemEval 2024 Rethinking Independent Cross-Entropy Loss For Graph-Structured Data ICML 2024 Sequential Modeling Enables Scalable Learning for Large Vision Models CVPR 2024 Set Learning for Accurate and Calibrated Models ICLR 2024 Simplified and Generalized Masked Diffusion for Discrete Data NeurIPS 2024 Small Objects Matters in Weakly-Supervised Semantic Segmentation WACV 2024 Stochastic Optimal Control Matching NeurIPS 2024 The Implicit Bias of Gradient Descent on Separable Multiclass Data NeurIPS 2024 Towards the Fundamental Limits of Knowledge Transfer over Finite Domains ICLR 2024 Typicalness-Aware Learning for Failure Detection NeurIPS 2024 A Cheaper and Better Diffusion Language Model with Soft-Masked Noise EMNLP 2023 A Unified Theory of Diversity in Ensemble Learning JMLR 2023 Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty AISTATS 2023 Contrastive Classification and Representation Learning with Probabilistic Interpretation AAAI 2023 Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023