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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
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction
AAAI 2025
Not Just a Piece of Cake: Cross-Lingual Fine-Tuning for Idiom Identification
AACL 2025
Ontolearn---A Framework for Large-scale OWL Class Expression Learning in Python
JMLR 2025
CRAAC: Consistency Regularised Active Learning with Automatic Corrections for Real-Life Road Image Annotations
WACV 2025
Self-Classification Enhancement and Correction for Weakly Supervised Object Detection
IJCAI 2025
Generative Reward Modeling via Synthetic Criteria Preference Learning
ACL 2025
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
CVPR 2024
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
CVPR 2024
Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection
NIPS 2024
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
CVPR 2024
Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types
AAAI 2024
A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise?
CVPR 2024
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
CVPR 2024
On the Effects of Data Scale on UI Control Agents
NIPS 2024
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
CVPR 2024
Investigating Compositional Challenges in Vision-Language Models for Visual Grounding
CVPR 2024
Realigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action Localization
CVPR 2024
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data
AAAI 2024
Causal Imitation for Markov Decision Processes: a Partial Identification Approach
NIPS 2024
Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation
CVPR 2024
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection
CVPR 2024
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
CVPR 2024
Is Value Learning Really the Main Bottleneck in Offline RL?
NIPS 2024
Semantic-aware SAM for Point-Prompted Instance Segmentation
CVPR 2024
Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning
CVPR 2024
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