logit adjustment

CUE: Concept-Aware Multi-Label Expansion to Mitigate Concept Confusion in Long-Tailed Learning CVPR 2026 Dynamic Logits Adjustment and Exploration for Test-Time Adaptation in Vision Language Models CVPR 2026 Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning AAAI 2025 Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts ACL 2025 FLAM: Frame-Wise Language-Audio Modeling ICML 2025 Fractal Calibration for Long-tailed Object Detection CVPR 2025 Fuzzy Contrastive Decoding to Alleviate Object Hallucination in Large Vision-Language Models ICCV 2025 Language-Assisted Debiasing and Smoothing for Foundation Model-Based Semi-Supervised Learning CVPR 2025 Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch ICCV 2025 PC-GZSL: Prior Correction for Generalized Zero Shot Learning WACV 2025 Prior2Posterior: Model Prior Correction for Long-Tailed Learning WACV 2025 PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering ICML 2025 Robust Logit Adjustment for Learning with Long-Tailed Noisy Data AAAI 2025 You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data ICCV 2025 Achieving Stronger Generation via Simple Contrastive Tuning EMNLP 2024 Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning ICML 2024 CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning CVPR 2024 Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective AAAI 2024 Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting NeurIPS 2024 FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning ACML 2024 Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions ICLR 2024 Balanced Product of Calibrated Experts for Long-Tailed Recognition CVPR 2023 BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases ACL 2023 Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models NeurIPS 2023 Group Robust Classification Without Any Group Information NeurIPS 2023