Debiased Learning from Naturally Imbalanced Pseudo-Labels

Debiased Learning from Naturally Imbalanced Pseudo-Labels

5 January 2022

Papers citing "Debiased Learning from Naturally Imbalanced Pseudo-Labels"

19 / 19 papers shown

Title
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning David Aparco-Cardenas Jancarlo F. Gomes Alexandre X. Falcão Pedro J. de Rezende 41 0 0 25 Apr 2025
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration Mingyang Song Xiaoye Qu Jiawei Zhou Yu-Xi Cheng VLM 50 1 0 17 Mar 2025
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery Xinzi Cao Xiawu Zheng G. Wang Weijiang Yu Yunhang Shen Ke Li Yutong Lu Yonghong Tian CLL 37 4 0 09 Jan 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Jun Zhou NoLa CML 145 0 0 18 Dec 2024
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation Zhekai Du Xinyao Li Fengling Li Ke Lu Lei Zhu Jingjing Li 38 15 0 05 Mar 2024
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner Ying-Dong Zang Chenglong Fu Runlong Cao Didi Zhu Min Zhang Wenjun Hu Lanyun Zhu Tianrun Chen 26 6 0 08 Feb 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels Jichang Li Guanbin Li Hui Cheng Zicheng Liao Yizhou Yu FedML 27 14 0 19 Dec 2023
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models Xin Li Sima Behpour T. Doan Wenbin He Liangke Gou Liu Ren VLM 21 3 0 20 Jul 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 19 12 0 22 May 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Z. Yu Yin Li Yong Jae Lee 13 10 0 13 Mar 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning Hao Chen R. Tao Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Bhiksha Raj Marios Savvides 22 140 0 26 Jan 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models Zhiqiu Lin Samuel Yu Zhiyi Kuang Deepak Pathak Deva Ramana VLM 15 100 0 16 Jan 2023
Parametric Classification for Generalized Category Discovery: A Baseline Study Xin Wen Bingchen Zhao Xiaojuan Qi 30 67 0 21 Nov 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning Haoxing Chen Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Marios Savvides Bhiksha Raj 16 12 0 20 Nov 2022
Continual Learning with Evolving Class Ontologies Zhiqiu Lin Deepak Pathak Yu-xiong Wang Deva Ramanan Shu Kong CLL 36 9 0 10 Oct 2022
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,261 0 02 Sep 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 25 62 0 10 Jun 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,203 0 23 Aug 2019
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,275 0 06 Mar 2017