noisy annotation

JOLT-SQL: Joint Loss Tuning of Text-to-SQL with Confusion-aware Noisy Schema Sampling EMNLP 2025 MonoBox: Tightness-Free Box-Supervised Polyp Segmentation Using Monotonicity Constraint AAAI 2025 Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion CVPR 2024 dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans NeurIPS 2024 Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach ICML 2023 DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations AAAI 2023 MAGI: Multi-Annotated Explanation-Guided Learning ICCV 2023 Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes ICCV 2023 STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations AAAI 2023 Adaptive Early-Learning Correction for Segmentation From Noisy Annotations CVPR 2022 Adversarial Learning from Crowds AAAI 2022 Influence Functions for Sequence Tagging Models EMNLP 2022 Towards Robust Adaptive Object Detection Under Noisy Annotations CVPR 2022 Bipartite Matching for Crowd Counting with Point Supervision IJCAI 2021 Ground-Truth or DAER: Selective Re-Query of Secondary Information ICCV 2021 Improving Arabic Diacritization with Regularized Decoding and Adversarial Training ACL 2021 Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations CVPR 2019 Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels CVPR 2016