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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
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
AAAI 2023
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection
AAAI 2023
Labels, Information, and Computation: Efficient Learning Using Sufficient Labels
JMLR 2023
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels
AAAI 2023
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision
AISTATS 2023
Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation
ICCV 2023
Normality Guided Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
WACV 2023
Weakly-Supervised Optical Flow Estimation for Time-of-Flight
WACV 2023
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
WACV 2023
Temporal Feature Enhancement Dilated Convolution Network for Weakly-Supervised Temporal Action Localization
WACV 2023
Dueling RL: Reinforcement Learning with Trajectory Preferences
AISTATS 2023
Boosted Off-Policy Learning
AISTATS 2023
Low Resource Quantitative Information Extraction via Structure Searching and Prefix-Based Text Generation
AAAI 2023
Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery
AAAI 2023
Timestamp-Supervised Action Segmentation from the Perspective of Clustering
IJCAI 2023
Scalable Theory-Driven Regularization of Scene Graph Generation Models
AAAI 2023
Rudolf Christoph Eucken at SemEval-2023 Task 4: An Ensemble Approach for Identifying Human Values from Arguments
ACL 2023
Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels
MIDL 2023
Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision
CVPR 2023
Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding
CVPR 2023
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
NIPS 2023
Weakly-Supervised Point Cloud Instance Segmentation With Geometric Priors
WACV 2023
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms
AAAI 2023
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
NIPS 2023
Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective
AAAI 2023
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