Weakly Supervised Learning

Enhancing Generalization of Depth Estimation Foundation Model via Weakly-Supervised Adaptation with Regularization AAAI 2026 Escaping the CAM Shadow: Uncertainty-Guided Reliable Learning for Weakly Supervised Semantic Segmentation AAAI 2026 Explainable Depression Assessment from Face Videos by Weakly Supervised Learning AAAI 2026 Exploiting Label-Independent Regularization from Spatial Patterns for Whole Slide Image Analysis WACV 2026 FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning AAAI 2026 From Emotion to Expression: Theoretical Foundations and Resources for Fear Speech EACL 2026 From Passive Perception to Active Memory: A Weakly Supervised Image Manipulation Localization Framework Driven by Coarse-Grained Annotations AAAI 2026 FSP-DETR: Few-Shot Prototypical Parasitic Ova Detection WACV 2026 Fused Similarity Measure Based Alignment with Dual-Scale Adaptive Selection for Weakly Supervised Video Anomaly Detection WACV 2026 Gene Incremental Learning for Single-Cell Transcriptomics AAAI 2026 Generalizable Video Quality Assessment via Weak-to-Strong Learning CVPR 2026 HaNa: Hardness and Noise-Aware Robust Cross-modal Retrieval AAAI 2026 Harder than Finding the Lost Sheep? Towards Automatically Suggesting Deliberate Metaphor Annotations in German Sermons EACL 2026 HiLoMix: Robust High- and Low-Frequency Graph Learning Framework for Mixing Address Association AAAI 2026 Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies AAAI 2026 Human-in-the-Loop Eider Duck Counting in Arctic Canada with an Open-Vocabulary Multi-Species Wildlife Detector AAAI 2026 HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization AAAI 2026 Identity Without Action: Rethinking Collective Action Models in Disinformation Research EACL 2026 Is He Extroverted? Identifying Missing Relevant Personas for Faithful User Simulation EACL 2026 Learning from Imperfect Data: Incremental Learning and Few-shot Learning AAAI 2026 Learning from Synthetic Data via Provenance-Based Input Gradient Guidance CVPR 2026 Learning Nested Named Entity Recognition from Flat Annotations EACL 2026 Learning to Tell Apart: Weakly Supervised Video Anomaly Detection via Disentangled Semantic Alignment AAAI 2026 Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels AAAI 2026 Mitigating Endogenous Confirmation Bias in Noisy Label Learning for Vision-Language Models AAAI 2026