conftrace_

class imbalance

555 papers

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Co-occurring keywords

text classification (6793) data augmentation (3052) long-tailed distribution (142) representation learning (6206) semi-supervised learning (2341) multi-label classification (1009) transformer model (1996) long-tailed recognition (42) image classification (1944) loss function (462)

Papers

SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM AAAI 2025
ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs IJCAI 2025
Attention-Guided Prototype Mixing: Diversifying Minority Context on Imbalanced Whole Slide Images Classification Learning WACV 2024
Long-Tail Class Incremental Learning via Independent Sub-prototype Construction CVPR 2024
Prototypical Contrastive Network for Imbalanced Aerial Image Segmentation WACV 2024
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach WACV 2024
Label Augmentation As Inter-Class Data Augmentation for Conditional Image Synthesis With Imbalanced Data WACV 2024
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology WACV 2024
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets CVPR 2024
Adaptive Manifold for Imbalanced Transductive Few-Shot Learning WACV 2024
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses CVPR 2024
A Closer Look at AUROC and AUPRC under Class Imbalance NIPS 2024
UTRad-NLP at #SMM4H 2024: Why LLM-Generated Texts Fail to Improve Text Classification Models ACL 2024
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models NIPS 2024
PCICUNAM at WASSA 2024: Cross-lingual Emotion Detection Task with Hierarchical Classification and Weighted Loss Functions ACL 2024
SussexAI at ArAIEval Shared Task: Mitigating Class Imbalance in Arabic Propaganda Detection ACL 2024
PCIC at SMM4H 2024: Enhancing Reddit Post Classification on Social Anxiety Using Transformer Models and Advanced Loss Functions ACL 2024
Imbalance-aware loss functions improve medical image classification MIDL 2024
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-Tailed Multi-Label Visual Recognition ACL 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NIPS 2024
Learning De-Biased Representations for Remote-Sensing Imagery NIPS 2024
Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts NIPS 2024
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning AAAI 2024
Active Prompt Learning in Vision Language Models CVPR 2024
CUET_Binary_Hackers at ClimateActivism 2024: A Comprehensive Evaluation and Superior Performance of Transformer-Based Models in Hate Speech Event Detection and Stance Classification for Climate Activism EACL 2024