Unlocking the Power of Open Set : A New Perspective for Open-Set Noisy Label Learning

7 May 2023

Papers citing "Unlocking the Power of Open Set : A New Perspective for Open-Set Noisy Label Learning"

4 / 4 papers shown

Title
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 52 0 0 25 Feb 2025
Learning from Crowds with Sparse and Imbalanced Annotations Ye Shi Shao-Yuan Li Sheng-Jun Huang 6 5 0 11 Jul 2021
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 303 494 0 05 Mar 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016