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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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Self-Damaging Contrastive Learning
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Bobak J. Mortazavi
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Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
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Adam Kortylewski
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Shuai Liu
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Alan Yuille
113
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PLM: Partial Label Masking for Imbalanced Multi-label Classification
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Yogesh S Rawat
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197
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Drill the Cork of Information Bottleneck by Inputting the Most Important
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Jiawei Zhang
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Biometrics: Trust, but Verify
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Debayan Deb
Joshua J. Engelsma
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Disentangling Sampling and Labeling Bias for Learning in Large-Output
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A. Menon
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Felix X. Yu
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Sanjiv Kumar
156
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VideoLT: Large-scale Long-tailed Video Recognition
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Zuxuan Wu
Zejia Weng
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Larry S. Davis
286
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Semi-supervised Long-tailed Recognition using Alternate Sampling
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Haoxiang Li
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GistNet: a Geometric Structure Transfer Network for Long-Tailed
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Haoxiang Li
Hao Kang
G. Hua
Nuno Vasconcelos
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Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed
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Haoxiang Li
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Nuno Vasconcelos
252
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Yi Yang
172
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Relational Subsets Knowledge Distillation for Long-tailed Retinal
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Xin Wang
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Z. Ge
171
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321
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187
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Image-Level or Object-Level? A Tale of Two Resampling Strategies for
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J. Álvarez
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Class-Balanced Distillation for Long-Tailed Visual Recognition
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Cordelia Schmid
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Distributional Robustness Loss for Long-tail Learning
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Adversarial Robustness under Long-Tailed Distribution
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Procrustean Training for Imbalanced Deep Learning
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Adaptive Class Suppression Loss for Long-Tail Object Detection
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226
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Improving Calibration for Long-Tailed Recognition
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Zhisheng Zhong
Jiequan Cui
Shu Liu
Jiaya Jia
307
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0
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Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene
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Bo Wan
Xuming He
482
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01 Apr 2021
Graph Classification by Mixture of Diverse Experts
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212
16
0
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Selective Output Smoothing Regularization: Regularize Neural Networks by
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Tianshu Xie
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189
0
0
29 Mar 2021
TransICD: Transformer Based Code-wise Attention Model for Explainable
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203
35
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Distilling Virtual Examples for Long-tailed Recognition
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297
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0
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Lei Wang
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268
0
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Recent Advances in Large Margin Learning
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Chi Harold Liu
Yulin Wang
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253
191
0
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On Exposing the Challenging Long Tail in Future Prediction of Traffic
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On Exposing the Challenging Long Tail in Future Prediction of Traffic ActorsIEEE International Conference on Computer Vision (ICCV), 2021
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154
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257
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A. Hoetker
O. Donati
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Konstantinos Kamnitsas
Ben Glocker
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198
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CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
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Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
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285
309
0
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Delving into Deep Imbalanced Regression
Delving into Deep Imbalanced RegressionInternational Conference on Machine Learning (ICML), 2021
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Kaiwen Zha
Ying-Cong Chen
Hongya Wang
Dina Katabi
250
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MosaicOS: A Simple and Effective Use of Object-Centric Images for
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Tai-Yu Pan
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