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Weakly Supervised Learning

3895 directly classified papers

Papers per year

Papers

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning AAAI 2024
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples AAAI 2024
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects AAAI 2024
Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation AAAI 2024
Which Is More Effective in Label Noise Cleaning, Correction or Filtering? AAAI 2024
Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes AAAI 2024
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples AAAI 2024
Regroup Median Loss for Combating Label Noise AAAI 2024
Mitigating Label Noise through Data Ambiguation AAAI 2024
Automatic Construction of a Chinese Review Dataset for Aspect Sentiment Triplet Extraction via Iterative Weak Supervision COLING 2024
Fusing Conditional Submodular GAN and Programmatic Weak Supervision AAAI 2024
Partial Label Learning with a Partner AAAI 2024
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning AAAI 2024
Nearest Neighbor Sampling for Covariate Shift Adaptation JMLR 2024
Limited-Supervised Multi-Label Learning with Dependency Noise AAAI 2024
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning AAAI 2024
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise AAAI 2024
ZenPropaganda: A Comprehensive Study on Identifying Propaganda Techniques in Russian Coronavirus-Related Media COLING 2024
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification AAAI 2024
Learning Safety Constraints from Demonstrations with Unknown Rewards AISTATS 2024
Safe Abductive Learning in the Presence of Inaccurate Rules AAAI 2024
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations AAAI 2024
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels AAAI 2024
Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression JMLR 2024
The Vedic Compound Dataset COLING 2024