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SemCovNet: Towards Fair and Semantic Coverage-Aware Learning for Underrepresented Visual Concepts
Arxiv
0+阅读 · 2月18日
Improving Credit Card Fraud Detection with an Optimized Explainable Boosting Machine
Arxiv
0+阅读 · 2月6日
Counting Balanced Triangles on Social Networks With Uncertain Edge Signs
Arxiv
0+阅读 · 2月15日
DINO-Mix: Distilling Foundational Knowledge with Cross-Domain CutMix for Semi-supervised Class-imbalanced Medical Image Segmentation
Arxiv
0+阅读 · 2月8日
Bias-Corrected Data Synthesis for Imbalanced Learning
Arxiv
0+阅读 · 2月15日
ART: Adaptive Resampling-based Training for Imbalanced Classification
Arxiv
0+阅读 · 2月15日
LLM-based Vulnerable Code Augmentation: Generate or Refactor?
Arxiv
0+阅读 · 2月10日
Equilibrium contrastive learning for imbalanced image classification
Arxiv
0+阅读 · 2月10日
Unbalanced optimal transport for robust longitudinal lesion evolution with registration-aware and appearance-guided priors
Arxiv
0+阅读 · 2月10日
Influence of Geometry, Class Imbalance and Alignment on Reconstruction Accuracy -- A Micro-CT Phantom-Based Evaluation
Arxiv
0+阅读 · 2月7日
Fréchet Distance in the Imbalanced Case
Arxiv
0+阅读 · 2月10日
Image-based Joint-level Detection for Inflammation in Rheumatoid Arthritis from Small and Imbalanced Data
Arxiv
0+阅读 · 2月16日
Quantifying Multimodal Imbalance: A GMM-Guided Adaptive Loss for Audio-Visual Learning
Arxiv
0+阅读 · 2月10日
Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance
Arxiv
0+阅读 · 2月8日
Geometric Manifold Rectification for Imbalanced Learning
Arxiv
0+阅读 · 2月13日
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