PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels

26 January 2022

Papers citing "PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels"

5 / 5 papers shown

Title
When Preferences Diverge: Aligning Diffusion Models with Minority-Aware Adaptive DPO Lefei Zhang Chen Liu C. Xu Kai Hu Donghao Luo Chengjie Wang Yanwei Fu Yuan Yao 47 0 0 21 Mar 2025
Retraining with Predicted Hard Labels Provably Increases Model Accuracy Rudrajit Das Inderjit S Dhillon Alessandro Epasto Adel Javanmard Jieming Mao Vahab Mirrokni Sujay Sanghavi Peilin Zhong 52 1 0 17 Jun 2024
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection Tahira Shehzadi K. Hashmi Didier Stricker Muhammad Zeshan Afzal 49 12 0 02 Apr 2024
Rethinking Semi-supervised Learning with Language Models Zhengxiang Shi Francesco Tonolini Nikolaos Aletras Emine Yilmaz G. Kazai Yunlong Jiao 32 18 0 22 May 2023
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner Zhengxiang Shi Aldo Lipani VLM CLL 37 21 0 02 May 2023