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sample weighting

39 papers

Papers

BidMatch: Boosting Semi-Supervised Learning by Bi-Dimensional Sample Weight Guidance AAAI 2026 Sample Weighted Incomplete Multimodal Clustering Based on Graph Coarsening Label Extraction AAAI 2026 COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism AAAI 2025 Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media NAACL 2025 Efficient Annotator Reliability Assessment with EffiARA ACL 2025 ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning EMNLP 2025 Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting ICML 2025 CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise NeurIPS 2024 Exploiting Geometry for Treatment Effect Estimation via Optimal Transport AAAI 2024 Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training CVPR 2024 Generalized Fake Audio Detection via Deep Stable Learning Interspeech 2024 Learning with Noisy Labels Using Hyperspherical Margin Weighting AAAI 2024 Nearest Neighbor Sampling for Covariate Shift Adaptation JMLR 2024 Suppressing Uncertainty in Gaze Estimation AAAI 2024 Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning AAAI 2023 How To Prevent the Continuous Damage of Noises To Model Training? CVPR 2023 Learning to Learn from Corrupted Data for Few-Shot Learning IJCAI 2023 Memorization Weights for Instance Reweighting in Adversarial Training AAAI 2023 Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering AAAI 2023 SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning ICLR 2023 Task-aware world model learning with meta weighting via bi-level optimization NeurIPS 2023 Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data AAAI 2022 Learning To Learn Across Diverse Data Biases in Deep Face Recognition CVPR 2022 Noise Attention Learning: Enhancing Noise Robustness by Gradient Scaling NeurIPS 2022 Adversarial Regression with Doubly Non-negative Weighting Matrices NeurIPS 2021