ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.01769
  4. Cited By
Procrustean Training for Imbalanced Deep Learning

Procrustean Training for Imbalanced Deep Learning

5 April 2021
Han-Jia Ye
De-Chuan Zhan
Wei-Lun Chao
ArXivPDFHTML

Papers citing "Procrustean Training for Imbalanced Deep Learning"

13 / 13 papers shown
Title
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model
F.S. Pezzicoli
V. Ros
F.P. Landes
M. Baity-Jesi
39
1
0
20 Jan 2025
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent
  on Language Models
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models
Frederik Kunstner
Robin Yadav
Alan Milligan
Mark Schmidt
Alberto Bietti
31
26
0
29 Feb 2024
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
Lan Li
Bowen Tao
Lu Han
De-Chuan Zhan
Han-jia Ye
SSL
29
4
0
27 Dec 2023
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified
  Framework
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework
Mahdiyar Molahasani
Michael A. Greenspan
Ali Etemad
24
2
0
23 Jun 2023
ELM: Embedding and Logit Margins for Long-Tail Learning
ELM: Embedding and Logit Margins for Long-Tail Learning
Wittawat Jitkrittum
A. Menon
A. S. Rawat
Surinder Kumar
26
11
0
27 Apr 2022
CoSSL: Co-Learning of Representation and Classifier for Imbalanced
  Semi-Supervised Learning
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
Yue Fan
Dengxin Dai
Anna Kukleva
Bernt Schiele
16
43
0
08 Dec 2021
Improving Tail-Class Representation with Centroid Contrastive Learning
Improving Tail-Class Representation with Centroid Contrastive Learning
A. M. H. Tiong
Junnan Li
Guosheng Lin
Boyang Albert Li
Caiming Xiong
S. Hoi
VLM
23
13
0
19 Oct 2021
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
161
549
0
21 Jul 2020
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
F. I. F. Richard Yu
ObjD
80
544
0
16 Mar 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
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
247
782
0
05 Dec 2019
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
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
1