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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
Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser
NIPS 2023
Detecting intersectionality in NER models: A data-driven approach
EACL 2023
Exploratory Inference Learning for Scribble Supervised Semantic Segmentation
AAAI 2023
Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization
ICCV 2023
Weakly Supervised Cell-Instance Segmentation With Two Types of Weak Labels by Single Instance Pasting
WACV 2023
Learning Optimal Group-structured Individualized Treatment Rules with Many Treatments
JMLR 2023
Set-valued Classification with Out-of-distribution Detection for Many Classes
JMLR 2023
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation
IJCAI 2023
BENCHić-lang: A Benchmark for Discriminating between Bosnian, Croatian, Montenegrin and Serbian
EACL 2023
IREL at SemEval-2023 Task 11: User Conditioned Modelling for Toxicity Detection in Subjective Tasks
SEMEVAL 2023
SemEval-2023 Task 11: Learning with Disagreements (LeWiDi)
SEMEVAL 2023
xiacui at SemEval-2023 Task 11: Learning a Model in Mixed-Annotator Datasets Using Annotator Ranking Scores as Training Weights
SEMEVAL 2023
Indirectly Supervised Natural Language Processing
ACL 2023
SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation
SEMEVAL 2023
Estimating Conditional Average Treatment Effects with Missing Treatment Information
AISTATS 2023
WINNER: Weakly-Supervised hIerarchical decompositioN and aligNment for Spatio-tEmporal Video gRounding
CVPR 2023
Image Cropping With Spatial-Aware Feature and Rank Consistency
CVPR 2023
Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving
CVPR 2023
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation
ICCV 2023
Use perturbations when learning from explanations
NIPS 2023
Descriptive Knowledge Graph in Biomedical Domain
EMNLP 2023
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
NIPS 2023
RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval
CVPR 2023
Ham2Pose: Animating Sign Language Notation Into Pose Sequences
CVPR 2023
Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation
CVPR 2023
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