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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
Optimistic Rates for Learning from Label Proportions
COLT 2024
MEGAnno+: A Human-LLM Collaborative Annotation System
EACL 2024
Soft Curriculum for Learning Conditional GANs With Noisy-Labeled and Uncurated Unlabeled Data
WACV 2024
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification
WACV 2024
Learning Quality Labels for Robust Image Classification
WACV 2024
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
NIPS 2024
Are You Serious? Handling Disagreement When Annotating Conspiracy Theory Texts
EACL 2024
When 3D Bounding-Box Meets SAM: Point Cloud Instance Segmentation With Weak-and-Noisy Supervision
WACV 2024
Revisiting Counterfactual Problems in Referring Expression Comprehension
CVPR 2024
Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations
EACL 2024
Class Balancing for Efficient Active Learning in Imbalanced Datasets
EACL 2024
SSN-Nova@LT-EDI 2024: POS Tagging, Boosting Techniques and Voting Classifiers for Caste And Migration Hate Speech Detection
EACL 2024
Improving Subgroup Robustness via Data Selection
NIPS 2024
Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations
EACL 2024
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation
CVPR 2024
Of Models and Men: Probing Neural Networks for Agreement Attraction with Psycholinguistic Data
CONLL 2024
Leveraging Approximate Pattern Matching with BERT for Event Detection
EACL 2024
An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations
IJCAI 2024
Exploring Soft-Label Training for Implicit Discourse Relation Recognition
EACL 2024
High-Fidelity Pseudo-Labels for Boosting Weakly-Supervised Segmentation
WACV 2024
What Makes Partial-Label Learning Algorithms Effective?
NIPS 2024
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation
IJCAI 2024
Annotation Scheme for English Argument Structure Constructions Treebank
EACL 2024
SCoRD: Subject-Conditional Relation Detection With Text-Augmented Data
WACV 2024
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection
IJCAI 2024
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