ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.01385
  4. Cited By
Identifying and Compensating for Feature Deviation in Imbalanced Deep
  Learning
v1v2v3v4 (latest)

Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning

6 January 2020
Han-Jia Ye
Hong-You Chen
De-Chuan Zhan
Wei-Lun Chao
ArXiv (abs)PDFHTML

Papers citing "Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning"

15 / 65 papers shown
Title
AutoBalance: Optimized Loss Functions for Imbalanced Data
AutoBalance: Optimized Loss Functions for Imbalanced DataNeural Information Processing Systems (NeurIPS), 2022
Mingchen Li
Xuechen Zhang
Christos Thrampoulidis
Jiasi Chen
Samet Oymak
151
78
0
04 Jan 2022
Is Importance Weighting Incompatible with Interpolating Classifiers?
Is Importance Weighting Incompatible with Interpolating Classifiers?International Conference on Learning Representations (ICLR), 2021
Ke Alexander Wang
Niladri S. Chatterji
Saminul Haque
Tatsunori Hashimoto
127
21
0
24 Dec 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior
  Perspective
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Zhengzhuo Xu
Runnan Li
Chun Yuan
255
67
0
06 Nov 2021
Deep Long-Tailed Learning: A Survey
Deep Long-Tailed Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
VLM
259
727
0
09 Oct 2021
On Model Calibration for Long-Tailed Object Detection and Instance
  Segmentation
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
Tai-Yu Pan
Cheng Zhang
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
243
51
0
05 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image
  Classification
On Bridging Generic and Personalized Federated Learning for Image Classification
Hong-You Chen
Wei-Lun Chao
FedML
228
22
0
02 Jul 2021
Adversarial Robustness under Long-Tailed Distribution
Adversarial Robustness under Long-Tailed DistributionComputer Vision and Pattern Recognition (CVPR), 2021
Tong Wu
Ziwei Liu
Qingqiu Huang
Yu Wang
Dahua Lin
246
90
0
06 Apr 2021
Procrustean Training for Imbalanced Deep Learning
Procrustean Training for Imbalanced Deep LearningIEEE International Conference on Computer Vision (ICCV), 2021
Han-Jia Ye
De-Chuan Zhan
Wei-Lun Chao
138
34
0
05 Apr 2021
Label-Imbalanced and Group-Sensitive Classification under
  Overparameterization
Label-Imbalanced and Group-Sensitive Classification under OverparameterizationNeural Information Processing Systems (NeurIPS), 2021
Ganesh Ramachandra Kini
Orestis Paraskevas
Samet Oymak
Christos Thrampoulidis
427
108
0
02 Mar 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for
  Long-Tailed Object Detection
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object DetectionIEEE International Conference on Computer Vision (ICCV), 2021
Cheng Zhang
Tai-Yu Pan
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
ObjDVLM
293
47
0
17 Feb 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
Jiaming Song
489
678
0
21 Jul 2020
Long-tail learning via logit adjustment
Long-tail learning via logit adjustmentInternational Conference on Learning Representations (ICLR), 2020
A. Menon
Sadeep Jayasumana
A. S. Rawat
Himanshu Jain
Andreas Veit
Sanjiv Kumar
310
836
0
14 Jul 2020
Overcoming Classifier Imbalance for Long-tail Object Detection with
  Balanced Group Softmax
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
Yu Li
Tao Wang
Bingyi Kang
Sheng Tang
Chunfeng Wang
Jintao Li
Jiashi Feng
269
287
0
18 Jun 2020
Alleviating the Incompatibility between Cross Entropy Loss and Episode
  Training for Few-shot Skin Disease Classification
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Wei-wei Zhu
Haofu Liao
Wenbin Li
Weijian Li
Jiebo Luo
124
20
0
21 Apr 2020
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot LearningInternational Journal of Computer Vision (IJCV), 2019
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
213
63
0
07 Jun 2019
Previous
12