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Weakly Supervised Learning

3895 directly classified papers

Papers per year

Papers

Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages EMNLP 2023
Learning under Label Proportions for Text Classification EMNLP 2023
Standardizing Distress Analysis: Emotion-Driven Distress Identification and Cause Extraction (DICE) in Multimodal Online Posts EMNLP 2023
From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification EMNLP 2023
Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It’s Best to Relate Perspectives! EMNLP 2023
Euphemistic Abuse – A New Dataset and Classification Experiments for Implicitly Abusive Language EMNLP 2023
Ideology Takes Multiple Looks: A High-Quality Dataset for Multifaceted Ideology Detection EMNLP 2023
A Multi-Task Dataset for Assessing Discourse Coherence in Chinese Essays: Structure, Theme, and Logic Analysis EMNLP 2023
Arabic Dialect Identification under Scrutiny: Limitations of Single-label Classification EMNLP 2023
Learning From Biased Soft Labels NIPS 2023
H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection NIPS 2023
A Unified Approach to Count-Based Weakly Supervised Learning NIPS 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer NIPS 2023
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations NIPS 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources NIPS 2023
MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition EMNLP 2023
Using Interpretation Methods for Model Enhancement EMNLP 2023
What Else Do I Need to Know? The Effect of Background Information on Users’ Reliance on QA Systems EMNLP 2023
Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance EMNLP 2023
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks EMNLP 2023
ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation EMNLP 2023
Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach EMNLP 2023
Collaborative Noisy Label Cleaner: Learning Scene-Aware Trailers for Multi-Modal Highlight Detection in Movies CVPR 2023
Mask-Free Video Instance Segmentation CVPR 2023
Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations CVPR 2023