conftrace_

imbalanced datum

81 papers

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Co-occurring keywords

representation learning (6206) data augmentation (3052) class imbalance (555) text classification (6793) imbalanced learning (48) loss function (462) ensemble learning (1274) contrastive learning (4032) long-tailed distribution (142) imbalanced classification (77)

Papers

LATE-GIL-NLP at SemEval-2025 Task 11: Multi-Language Emotion Detection and Intensity Classification Using Transformer Models with Optimized Loss Functions for Imbalanced Data ACL 2025
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data EMNLP 2025
Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data AAAI 2025
Differentially Private Prototypes for Imbalanced Transfer Learning AAAI 2025
Swahili News Classification: Performance, Challenges, and Explainability Across ML, DL, and Transformers ACL 2025
Label Augmentation As Inter-Class Data Augmentation for Conditional Image Synthesis With Imbalanced Data WACV 2024
Self-adaptive Extreme Penalized Loss for Imbalanced Time Series Prediction IJCAI 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NIPS 2024
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NIPS 2024
Long-Tail Class Incremental Learning via Independent Sub-prototype Construction CVPR 2024
MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis COLING 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution NIPS 2024
Neural Collapse for Unconstrained Feature Model under Cross-entropy Loss with Imbalanced Data JMLR 2024
Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract) AAAI 2024
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems NIPS 2024
Online Class-Incremental Learning for Real-World Food Image Classification WACV 2024
Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse CVPR 2024
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization AAAI 2024
Oversampling, Augmentation and Curriculum Learning for Speaking Assessment with Limited Training Data INTERSPEECH 2024
BBRC: Brazilian Banking Regulation Corpora COLING 2024
PAI at SemEval-2023 Task 4: A General Multi-label Classification System with Class-balanced Loss Function and Ensemble Module SEMEVAL 2023
Generative Oversampling for Imbalanced Data via Majority-Guided VAE AISTATS 2023
AUC Maximization for Low-Resource Named Entity Recognition AAAI 2023
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition ICML 2023
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data ICML 2023