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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
Label Distribution Learning from Logical Label
IJCAI 2024
Towards Unbiased Exploration in Partial Label Learning
JMLR 2024
On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression
JMLR 2024
Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities
AAAI 2024
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise
AAAI 2024
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
CVPR 2024
Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits
AISTATS 2024
Linear Distance Metric Learning with Noisy Labels
JMLR 2024
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation
CVPR 2024
A Consistency and Integration Model with Adaptive Thresholds for Weakly Supervised Object Localization
IJCAI 2024
Predicting Narratives of Climate Obstruction in Social Media Advertising
ACL 2024
Predictive Inference with Weak Supervision
JMLR 2024
Investigating Compositional Challenges in Vision-Language Models for Visual Grounding
CVPR 2024
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
NIPS 2024
On Truthing Issues in Supervised Classification
JMLR 2024
A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise?
CVPR 2024
Reinforcement Learning from Diverse Human Preferences
IJCAI 2024
Multi-Granularity Graph-Convolution-Based Method for Weakly Supervised Person Search
IJCAI 2024
Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion
CVPR 2024
Unveiling Project-Specific Bias in Neural Code Models
COLING 2024
InstructVideo: Instructing Video Diffusion Models with Human Feedback
CVPR 2024
Revisiting Counterfactual Problems in Referring Expression Comprehension
CVPR 2024
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
NIPS 2024
Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning
IJCAI 2024
Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding
AAAI 2024
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