Weakly Supervised Learning

Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models MIDL 2026 Evidential Deep Partial Label Learning to Quantify Disambiguation Uncertainty CVPR 2026 Frequency-Aware Affinity for Weakly Supervised Semantic Segmentation CVPR 2026 MILCA: Malaria Parasite Detection from Sample-Level Weak Labels MIDL 2026 ResGAT: A Residual Graph Attention Network for Cancer Subtype Classification in Whole Slide Images MIDL 2026 TriLite: Efficient Weakly Supervised Object Localization with Universal Visual Features and Tri-Region Disentanglement CVPR 2026 An Adaptive Method for Weak Supervision with Drifting Data AISTATS 2025 EME-TTS: Unlocking the Emphasis and Emotion Link in Speech Synthesis Interspeech 2025 From Weak Labels to Strong Results: Utilizing 5,000 Hours of Noisy Classroom Transcripts with Minimal Accurate Data Interspeech 2025 Label-efficient Semantic Scene Completion with Scribble Annotations IJCAI 2024 Optimistic Rates for Learning from Label Proportions COLT 2024 Losses over Labels: Weakly Supervised Learning via Direct Loss Construction AAAI 2023 Partially Humanizing Weak Supervision: Towards a Better Low Resource Pipeline for Spoken Language Understanding EMNLP 2022 Prototype-Representations for Training Data Filtering in Weakly-Supervised Information Extraction EMNLP 2022 Learning from Label Proportions with Consistency Regularization ACML 2020 Robust Data Programming with Precision-guided Labeling Functions AAAI 2020 WSLLN:Weakly Supervised Natural Language Localization Networks EMNLP 2019 A flexible model for training action localization with varying levels of supervision NeurIPS 2018 beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data NeurIPS 2016 Discriminative Segment Annotation in Weakly Labeled Video CVPR 2013 Simultaneous Object Detection and Ranking with Weak Supervision NeurIPS 2010 Supervised Clustering NeurIPS 2010 Learning Visual Attributes NeurIPS 2007