Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Types
Machine Learning
›
Learning Types
›
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
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection
IJCAI 2024
The Greek podcast corpus: Competitive speech models for low-resourced languages with weakly supervised data
INTERSPEECH 2024
FairRR: Pre-Processing for Group Fairness through Randomized Response
AISTATS 2024
Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning
IJCAI 2024
I Need Help! Evaluating LLM’s Ability to Ask for Users’ Support: A Case Study on Text-to-SQL Generation
EMNLP 2024
Weakly-Supervised Deepfake Localization in Diffusion-Generated Images
WACV 2024
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning
IJCAI 2024
When No-Rejection Learning is Consistent for Regression with Rejection
AISTATS 2024
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives
IJCAI 2024
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise
AAAI 2024
Soft Curriculum for Learning Conditional GANs With Noisy-Labeled and Uncurated Unlabeled Data
WACV 2024
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning
AAAI 2024
No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning
IJCAI 2024
Class Tokens Infusion for Weakly Supervised Semantic Segmentation
CVPR 2024
Amodal Intra-Class Instance Segmentation: Synthetic Datasets and Benchmark
WACV 2024
Predicting Label Distribution from Ternary Labels
NIPS 2024
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations
AAAI 2024
Real-Time Weakly Supervised Video Anomaly Detection
WACV 2024
Diversity-Aware Annotation for Conversational AI Safety
COLING 2024
MEGAnno+: A Human-LLM Collaborative Annotation System
EACL 2024
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
AAAI 2024
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks
EACL 2024
Predicting Client Emotions and Therapist Interventions in Psychotherapy Dialogues
EACL 2024
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis
EACL 2024
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection
EACL 2024
<
1
…
19
20
21
…
156
>