Instance-Dependent Noisy Label Learning via Graphical Modelling

Instance-Dependent Noisy Label Learning via Graphical Modelling

2 September 2022

Cuong C. Nguyen

Papers citing "Instance-Dependent Noisy Label Learning via Graphical Modelling"

17 / 17 papers shown

Title
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels F. Cordeiro G. Carneiro NoLa 40 1 0 03 Nov 2024
CLIPCleaner: Cleaning Noisy Labels with CLIP Chen Feng Georgios Tzimiropoulos Ioannis Patras VLM 35 1 0 19 Aug 2024
Learning to Complement and to Defer to Multiple Users Zheng Zhang Wenjie Ai Kevin Wells David Rosewarne Thanh-Toan Do Gustavo Carneiro 50 0 0 09 Jul 2024
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification Hongfei Huang Tingting Liang Xixi Sun Zikang Jin Yuyu Yin NoLa 39 1 0 09 Jul 2024
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions Trenton Chang Jenna Wiens 32 0 0 27 Jun 2024
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning Rui Zhao Bin Shi Jianfei Ruan Tianze Pan Bo Dong NoLa 34 5 0 08 May 2024
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations Heewon Kim Hyun Sung Chang Kiho Cho Jaeyun Lee Bohyung Han NoLa 26 2 0 09 Jan 2024
Learning to Complement with Multiple Humans Zheng Zhang Cuong C. Nguyen Kevin Wells Thanh-Toan Do Gustavo Carneiro 24 0 0 22 Nov 2023
Partial Label Supervision for Agnostic Generative Noisy Label Learning Fengbei Liu Chong Wang Yuanhong Chen Yuyuan Liu G. Carneiro NoLa 30 1 0 02 Aug 2023
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 33 1 0 31 May 2023
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro 22 2 0 20 Mar 2023
Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning Fengbei Liu Yuanhong Chen Chong Wang Yu-Ching Tain G. Carneiro NoLa 52 0 0 01 Jan 2023
L2B: Learning to Bootstrap Robust Models for Combating Label Noise Yuyin Zhou Xianhang Li Fengze Liu Qingyue Wei Xuxi Chen Lequan Yu Cihang Xie M. Lungren Lei Xing NoLa 39 3 0 09 Feb 2022
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 19 18 0 22 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,785 0 29 Apr 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 295 10,618 0 19 Feb 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014