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ELM: Embedding and Logit Margins for Long-Tail Learning

ELM: Embedding and Logit Margins for Long-Tail Learning

27 April 2022
Wittawat Jitkrittum
A. Menon
A. S. Rawat
Surinder Kumar
ArXivPDFHTML

Papers citing "ELM: Embedding and Logit Margins for Long-Tail Learning"

12 / 12 papers shown
Title
A Survey of Deep Long-Tail Classification Advancements
A Survey of Deep Long-Tail Classification Advancements
Charika De Alvis
Suranga Seneviratne
20
1
0
24 Apr 2024
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
Chaoqun Du
Yulin Wang
Shiji Song
Gao Huang
38
23
0
11 Mar 2024
Supervised Contrastive Representation Learning: Landscape Analysis with
  Unconstrained Features
Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features
Tina Behnia
Christos Thrampoulidis
SSL
31
0
0
29 Feb 2024
Long-Tail Learning with Rebalanced Contrastive Loss
Long-Tail Learning with Rebalanced Contrastive Loss
Charika De Alvis
Dishanika Denipitiyage
Suranga Seneviratne
19
1
0
04 Dec 2023
Uncertainty-guided Boundary Learning for Imbalanced Social Event
  Detection
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection
Jiaqian Ren
Hao Peng
Lei Jiang
Zhiwei Liu
Jia Wu
Zhengtao Yu
Phillp S. Yu
23
13
0
30 Oct 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts
Distributionally Robust Post-hoc Classifiers under Prior Shifts
Jiaheng Wei
Harikrishna Narasimhan
Ehsan Amid
Wenjun Chu
Yang Liu
Abhishek Kumar
OOD
42
16
0
16 Sep 2023
Symmetric Neural-Collapse Representations with Supervised Contrastive
  Loss: The Impact of ReLU and Batching
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
Ganesh Ramachandra Kini
V. Vakilian
Tina Behnia
Jaidev Gill
Christos Thrampoulidis
17
1
0
13 Jun 2023
On the Implicit Geometry of Cross-Entropy Parameterizations for
  Label-Imbalanced Data
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data
Tina Behnia
Ganesh Ramachandra Kini
V. Vakilian
Christos Thrampoulidis
31
17
0
14 Mar 2023
Are All Losses Created Equal: A Neural Collapse Perspective
Are All Losses Created Equal: A Neural Collapse Perspective
Jinxin Zhou
Chong You
Xiao Li
Kangning Liu
Sheng Liu
Qing Qu
Zhihui Zhu
25
58
0
04 Oct 2022
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
164
549
0
21 Jul 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
241
457
0
11 Mar 2020
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
232
446
0
28 Nov 2016
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