Co-occurring keywords · papers mentioning both
Papers
Interest-driven Deep Multi-modal Clustering
AAAI 2026
AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution
ICLR 2025
Diversity-oriented Data Augmentation with Large Language Models
ACL 2025
KoACD: The First Korean Adolescent Dataset for Cognitive Distortion Analysis via Role-Switching Multi-LLM Negotiation
EMNLP 2025
Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels
IJCAI 2025
Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning
ICML 2024
Label Consistency-based Worker Filtering for Crowdsourcing
UAI 2024
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks
AAAI 2024
Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks
JMLR 2024
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks
NeurIPS 2024
CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients
EMNLP 2023
Consistent Text Categorization using Data Augmentation in e-Commerce
ACL 2023
TrustAL: Trustworthy Active Learning Using Knowledge Distillation
AAAI 2022
AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence
CVPR 2021
CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset
EMNLP 2021
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
NeurIPS 2021
Label consistency in overfitted generalized k-means
NeurIPS 2021
Learning to Generate Noise for Multi-Attack Robustness
ICML 2021
Validating Label Consistency in NER Data Annotation
EMNLP 2021
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
CVPR 2019
Be Consistent! Improving Procedural Text Comprehension using Label Consistency
NAACL 2019