Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels

19 August 2022

Papers citing "Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels"

5 / 5 papers shown

Title
Patches Are All You Need? Asher Trockman J. Zico Kolter ViT 214 400 0 24 Jan 2022
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 161 645 0 27 Oct 2021
Detecting Corrupted Labels Without Training a Model to Predict Zhaowei Zhu Zihao Dong Yang Liu NoLa 141 62 0 12 Oct 2021
Co-learning: Learning from Noisy Labels with Self-supervision Cheng Tan Jun-Xiong Xia Lirong Wu Stan Z. Li NoLa 68 116 0 05 Aug 2021
Federated Self-Training for Semi-Supervised Audio Recognition Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi FedML 27 15 0 14 Jul 2021