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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
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
CVPR 2018
Adversarial Complementary Learning for Weakly Supervised Object Localization
CVPR 2018
Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints
CVPR 2018
Learning by Asking Questions
CVPR 2018
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction
EMNLP 2018
Regular Expression Guided Entity Mention Mining from Noisy Web Data
EMNLP 2018
A Computational Exploration of Exaggeration
EMNLP 2018
Imitation Learning for Neural Morphological String Transduction
EMNLP 2018
Identifying Locus of Control in Social Media Language
EMNLP 2018
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior
EMNLP 2018
Foreground Clustering for Joint Segmentation and Localization in Videos and Images
NIPS 2018
A flexible model for training action localization with varying levels of supervision
NIPS 2018
Document Representation Learning for Patient History Visualization
COLING 2018
Automated Acquisition of Patterns for Coding Political Event Data: Two Case Studies
COLING 2018
FrameIt: Ontology Discovery for Noisy User-Generated Text
EMNLP 2018
Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions
EMNLP 2018
Datasets of Slovene and Croatian Moderated News Comments
EMNLP 2018
Visual Supervision in Bootstrapped Information Extraction
EMNLP 2018
Learning to Learn Semantic Parsers from Natural Language Supervision
EMNLP 2018
Self-Erasing Network for Integral Object Attention
NIPS 2018
Estimating Summary Quality with Pairwise Preferences
NAACL 2018
Learning Word Embeddings for Low-Resource Languages by PU Learning
NAACL 2018
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences
NAACL 2018
Joint Bootstrapping Machines for High Confidence Relation Extraction
NAACL 2018
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?
CONLL 2018
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