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Papers
KvochurHegel at AbjadMed: Combining LDAM Loss and Adversarial Training for Arabic Medical Question-Answer Classification
EACL 2026
Balancing Quality and Variation: Spam Filtering Distorts Data Label Distributions
EMNLP 2025
Concentration Distribution Learning from Label Distributions
ICML 2025
Exploring Vacant Classes in Label-Skewed Federated Learning
AAAI 2025
Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation
AAAI 2025
Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks
ACL 2025
Learning Subjective Label Distributions via Sociocultural Descriptors
EMNLP 2025
Open Set Label Shift with Test Time Out-of-Distribution Reference
CVPR 2025
Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence
IJCAI 2024
Beyond Document Page Classification: Design, Datasets, and Challenges
WACV 2024
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
ICML 2024
Learning from Multiple Annotator Biased Labels in Multimodal Conversation
Interspeech 2024
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
NeurIPS 2024
Predicting Label Distribution from Ternary Labels
NeurIPS 2024
Prior Knowledge-Guided Adversarial Training
ACL 2024
Rebalancing Label Distribution While Eliminating Inherent Waiting Time in Multi Label Active Learning Applied to Transformers
COLING 2024
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
ACL 2024
Toward Student-oriented Teacher Network Training for Knowledge Distillation
ICLR 2024
Transitional Uncertainty with Layered Intermediate Predictions
ICML 2024
Twice Class Bias Correction for Imbalanced Semi-supervised Learning
AAAI 2024
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models
ICML 2023
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
ICML 2023
Label Enhancement via Joint Implicit Representation Clustering
IJCAI 2023
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts
ICCV 2023
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
ICML 2023