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Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
v1v2 (latest)

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

Neural Information Processing Systems (NeurIPS), 2019
18 June 2019
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
ArXiv (abs)PDFHTML

Papers citing "Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss"

50 / 879 papers shown
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Yonggang Zhang
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310
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Taming the Tail in Class-Conditional GANs: Knowledge Sharing via
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Mingqi Jiang
Mohamad Shahbazi
Mohamad H. Danesh
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26 Feb 2024
Neural Implicit Swept Volume Models for Fast Collision Detection
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Jonas Schwinn
Kirill Safronov
147
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CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for
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George Killick
Lipeng Zhuang
Gerardo Aragon Camarasa
Zaiqiao Meng
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239
7
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22 Feb 2024
Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal
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Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images
Xikai Yang
Jian Wu
Xi Wang
Yuchen Yuan
N. Wang
Pheng-Ann Heng
AI4TSMedIm
209
3
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21 Feb 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep
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Jaeuk Kim
Myung Gyo Oh
Jaewoo Park
T.-H. Kwon
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360
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Multi-dimensional Evaluation of Empathetic Dialog Responses
Multi-dimensional Evaluation of Empathetic Dialog Responses
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Jiepu Jiang
163
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Training Class-Imbalanced Diffusion Model Via Overlap Optimization
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Lu Qi
Vincent Tao Hu
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Meng Tang
232
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DUEL: Duplicate Elimination on Active Memory for Self-Supervised
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Dong-Sig Han
Junseok Park
Heeyeon Koo
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230
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TaE: Task-aware Expandable Representation for Long Tail Class
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Optimizing for ROC Curves on Class-Imbalanced Data by Training over a
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Kelsey Lieberman
Shuai Yuan
Swarna Kamlam Ravindran
Carlo Tomasi
316
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372
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Revisiting the Dataset Bias Problem from a Statistical Perspective
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D. Nguyen
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229
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Rectify the Regression Bias in Long-Tailed Object Detection
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DAFA: Distance-Aware Fair Adversarial Training
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215
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Geometric Prior Guided Feature Representation Learning for Long-Tailed
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Zikai Xiao
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Yang Feng
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