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1906.07413
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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
Re-assign community
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Papers citing
"Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss"
29 / 879 papers shown
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Class-Weighted Classification: Trade-offs and Robust Approaches
International Conference on Machine Learning (ICML), 2020
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26 May 2020
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Why distillation helps: a statistical perspective
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An Investigation of Why Overparameterization Exacerbates Spurious Correlations
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Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
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Ziyu Xu
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From Generalized zero-shot learning to long-tail with class descriptors
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Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
Computer Vision and Pattern Recognition (CVPR), 2020
Muhammad Abdullah Jamal
Matthew A. Brown
Ming-Hsuan Yang
Liqiang Wang
Boqing Gong
244
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Class-Imbalanced Semi-Supervised Learning
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Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers
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Eran Kaufman
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Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
European Conference on Computer Vision (ECCV), 2020
Liuyu Xiang
Guiguang Ding
Jungong Han
444
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06 Jan 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning
Han-Jia Ye
Hong-You Chen
De-Chuan Zhan
Wei-Lun Chao
455
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06 Jan 2020
AutoScale: Learning to Scale for Crowd Counting and Localization
International Journal of Computer Vision (IJCV), 2019
Chenfeng Xu
Dingkang Liang
Yongchao Xu
S. Bai
Wei Zhan
X. Bai
Masayoshi Tomizuka
350
123
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20 Dec 2019
To Balance or Not to Balance: A Simple-yet-Effective Approach for Learning with Long-Tailed Distributions
Junjie Zhang
Lingqiao Liu
Peng Wang
Chunhua Shen
157
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10 Dec 2019
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Computer Vision and Pattern Recognition (CVPR), 2019
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
785
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05 Dec 2019
Adjusting Decision Boundary for Class Imbalanced Learning
IEEE Access (IEEE Access), 2019
Byungju Kim
Junmo Kim
314
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04 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Abigail Z. Jacobs
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Jointly De-biasing Face Recognition and Demographic Attribute Estimation
Sixue Gong
Xiaoming Liu
Anil K. Jain
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Decoupling Representation and Classifier for Long-Tailed Recognition
International Conference on Learning Representations (ICLR), 2019
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
OODD
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Self-supervised Label Augmentation via Input Transformations
Hankook Lee
Sung Ju Hwang
Jinwoo Shin
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156
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Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin
International Conference on Learning Representations (ICLR), 2019
Colin Wei
Tengyu Ma
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533
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09 Oct 2019
Generalized Zero-shot ICD Coding
Congzheng Song
Shanghang Zhang
Najmeh Sadoughi
P. Xie
Eric Xing
VLM
MedIm
117
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28 Sep 2019
Does Learning Require Memorization? A Short Tale about a Long Tail
Symposium on the Theory of Computing (STOC), 2019
Vitaly Feldman
TDI
587
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Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
International Journal of Computer Vision (IJCV), 2019
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
287
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07 Jun 2019
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