Learning Deep Neural Networks under Agnostic Corrupted Supervision

12 February 2021

Papers citing "Learning Deep Neural Networks under Agnostic Corrupted Supervision"

4 / 4 papers shown

Title
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 40 7 0 20 Jun 2023
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 35 32 0 18 Jul 2022
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 319 498 0 05 Mar 2020
Efficient Per-Example Gradient Computations Ian Goodfellow 186 74 0 07 Oct 2015