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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
Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction
EMNLP 2019
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
AAAI 2019
A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection
AAAI 2019
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels
NIPS 2019
A Hierarchical Framework for Relation Extraction with Reinforcement Learning
AAAI 2019
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection
AAAI 2019
CompILE: Compositional Imitation Learning and Execution
ICML 2019
Learning Attribute-Specific Representations for Visual Tracking
AAAI 2019
CAB: Continuous Adaptive Blending for Policy Evaluation and Learning
ICML 2019
Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography
ICML 2019
Weakly-Supervised Temporal Localization via Occurrence Count Learning
ICML 2019
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth
ICML 2019
How does Disagreement Help Generalization against Label Corruption?
ICML 2019
Named Entity Recognition with Partially Annotated Training Data
CONLL 2019
Learning Reward Functions by Integrating Human Demonstrations and Preferences
RSS 2019
Self-Critical Reasoning for Robust Visual Question Answering
NIPS 2019
End-To-End Robotic Reinforcement Learning without Reward Engineering
RSS 2019
A Discrete Hard EM Approach for Weakly Supervised Question Answering
IJCNLP 2019
Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing
IJCNLP 2019
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction
IJCNLP 2019
Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes
EMNLP 2019
Weakly Supervised Energy-Based Learning for Action Segmentation
ICCV 2019
Learning from sparsely annotated data for semantic segmentation in histopathology images
MIDL 2019
Neural Duplicate Question Detection without Labeled Training Data
EMNLP 2019
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health
EMNLP 2019
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