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Methodology
← Learning Types
Machine Learning
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Learning Types
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Weakly Supervised Learning
3895 directly classified papers
Papers per year
2002: 5
2003: 3
2004: 3
2005: 1
2006: 7
2007: 8
2008: 7
2009: 13
2010: 20
2011: 7
2012: 11
2013: 43
2014: 35
2015: 66
2016: 74
2017: 133
2018: 194
2019: 388
2020: 388
2021: 566
2022: 469
2023: 588
2024: 435
2025: 350
2026: 81
Papers
Creating Generalizable Data-Driven Approaches for Biodiversity Monitoring via Acoustics
AAAI 2026
Spatiotemporal Transformers with Multiple Instance Learning for Label-Efficient Behavioral Analysis in Autism (Student Abstract)
AAAI 2026
WSSSP-Net: Weakly Supervised Semantic Segmentation Plugin Network for Face Anti-Spoofing
WACV 2026
Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning
WACV 2026
MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection
WACV 2026
PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data
AAAI 2026
PARS: Partial-Label-Learning-inspired Recommender Systems
AAAI 2026
CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles
WACV 2026
Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels
AAAI 2026
Classifier-induced Reciprocal Points for Multi-label Open-set Recognition
AAAI 2026
HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization
AAAI 2026
QuMAB: Query-based Multi-annotator Behavior Pattern Learning
AAAI 2026
Dual Graph Disambiguation for Multi-Instance Partial-Label Learning
AAAI 2026
Optimized Algorithms for Text Clustering with LLM-Generated Constraints
AAAI 2026
Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels
AAAI 2026
Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval
AAAI 2026
Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning
AAAI 2026
Semantic-Aware Feature Enhancement for Partial Label Learning
AAAI 2026
HaNa: Hardness and Noise-Aware Robust Cross-modal Retrieval
AAAI 2026
Attribution Analysis-based Concept Alignment: A Human-in-the-loop Data Debugging Framework
AAAI 2026
Constrained Molecule Generation Modelled Using the Grammar Constraint
AAAI 2026
HiLoMix: Robust High- and Low-Frequency Graph Learning Framework for Mixing Address Association
AAAI 2026
Boundary-Aware LLM Augmentation for Low-Resource Event Argument Extraction
EACL 2026
Learning from Imperfect Data: Incremental Learning and Few-shot Learning
AAAI 2026
Optimizing What We Trust: Reliability-Guided QUBO Selection of Multi-Agent Weak Framing Signals for Arabic Sentiment Prediction
EACL 2026
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