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. 2010.11820
  4. Cited By
Posterior Re-calibration for Imbalanced Datasets

Posterior Re-calibration for Imbalanced Datasets

22 October 2020
Junjiao Tian
Yen-Cheng Liu
Nathan Glaser
Yen-Chang Hsu
Z. Kira
ArXivPDFHTML

Papers citing "Posterior Re-calibration for Imbalanced Datasets"

14 / 14 papers shown
Title
Enhancing Features in Long-tailed Data Using Large Vision Model
Enhancing Features in Long-tailed Data Using Large Vision Model
Pengxiao Han
Changkun Ye
Jinguang Tong
Cuicui Jiang
Jie Hong
Li Fang
Xuesong Li
VLM
33
0
0
15 Apr 2025
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint
Guangkun Nie
Gongzheng Tang
Shenda Hong
87
0
0
20 Nov 2024
Taming the Long Tail in Human Mobility Prediction
Taming the Long Tail in Human Mobility Prediction
Xiaohang Xu
Renhe Jiang
Chuang Yang
Z. Fan
Kaoru Sezaki
44
1
0
19 Oct 2024
Class Similarity Transition: Decoupling Class Similarities and Imbalance
  from Generalized Few-shot Segmentation
Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation
Shihong Wang
Ruixun Liu
Kaiyu Li
Jiawei Jiang
Xiangyong Cao
35
2
0
08 Apr 2024
Latent-based Diffusion Model for Long-tailed Recognition
Latent-based Diffusion Model for Long-tailed Recognition
Pengxiao Han
Changkun Ye
Jieming Zhou
Jing Zhang
Jie Hong
Xuesong Li
48
4
0
06 Apr 2024
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Divin Yan
Gengchen Wei
Chen Yang
Shengzhong Zhang
Zengfeng Huang
AI4CE
41
11
0
28 Oct 2023
Minimum-Risk Recalibration of Classifiers
Minimum-Risk Recalibration of Classifiers
Zeyu Sun
Dogyoon Song
Alfred Hero
30
5
0
18 May 2023
Personalizing Intervened Network for Long-tailed Sequential User
  Behavior Modeling
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling
Zheqi Lv
Feng Wang
Shengyu Zhang
Kun Kuang
Hongxia Yang
Fei Wu
29
8
0
19 Aug 2022
Information Gain Sampling for Active Learning in Medical Image
  Classification
Information Gain Sampling for Active Learning in Medical Image Classification
Raghav Mehta
Changjian Shui
Brennan Nichyporuk
Tal Arbel
19
5
0
01 Aug 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
Jae-gyun Song
Joonhyung Park
Eunho Yang
31
52
0
26 Jun 2022
Self-supervised Learning is More Robust to Dataset Imbalance
Self-supervised Learning is More Robust to Dataset Imbalance
Hong Liu
Jeff Z. HaoChen
Adrien Gaidon
Tengyu Ma
OOD
SSL
33
157
0
11 Oct 2021
Striking the Right Balance: Recall Loss for Semantic Segmentation
Striking the Right Balance: Recall Loss for Semantic Segmentation
Junjiao Tian
Niluthpol Chowdhury Mithun
Zachary Seymour
Han-Pang Chiu
Z. Kira
11
31
0
28 Jun 2021
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
253
782
0
05 Dec 2019
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,639
0
02 Nov 2015
1