Weakly Supervised Learning

Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy IJCAI 2025 Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data ICLR 2025 Reconstructing Cell Lineage Trees from Phenotypic Features with Metric Learning ICML 2025 Re-Examine Distantly Supervised NER: A New Benchmark and a Simple Approach COLING 2025 Regretful Decisions under Label Noise ICLR 2025 REGULAR: A Framework for Relation-Guided Multi-Span Question Generation IJCNLP 2025 Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities ACL 2025 Rethinking Multiple-Instance Learning From Feature Space to Probability Space ICLR 2025 Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction AAAI 2025 Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing ACL 2025 Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot EMNLP 2025 Revisiting Interpolation for Noisy Label Correction AAAI 2025 RIPE: Reinforcement Learning on Unlabeled Image Pairs for Robust Keypoint Extraction ICCV 2025 Robust Logit Adjustment for Learning with Long-Tailed Noisy Data AAAI 2025 RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise AAAI 2025 RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis IJCAI 2025 RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark CVPR 2025 SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations NAACL 2025 Safety Alignment via Constrained Knowledge Unlearning ACL 2025 Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels IJCAI 2025 SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection ICLR 2025 SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning ICCV 2025 Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding ICCV 2025 SegBuilder: A Semi-Automatic Annotation Tool for Segmentation WACV 2025 Selective Contrastive Learning for Weakly Supervised Affordance Grounding ICCV 2025