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SSR: An Efficient and Robust Framework for Learning with Unknown Label
  Noise

SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise

22 November 2021
Chen Feng
Georgios Tzimiropoulos
Ioannis Patras
    NoLa
ArXivPDFHTML

Papers citing "SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise"

12 / 12 papers shown
Title
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection
  for Robust Learning with Noisy Labels
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels
F. Cordeiro
G. Carneiro
NoLa
28
0
0
03 Nov 2024
Human-AI Collaborative Multi-modal Multi-rater Learning for
  Endometriosis Diagnosis
Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis
Hu Wang
David Butler
Yuan Zhang
Jodie C Avery
Steven Knox
Congbo Ma
Louise Hull
Gustavo Carneiro
13
1
0
03 Sep 2024
CLIPCleaner: Cleaning Noisy Labels with CLIP
CLIPCleaner: Cleaning Noisy Labels with CLIP
Chen Feng
Georgios Tzimiropoulos
Ioannis Patras
VLM
21
1
0
19 Aug 2024
Robust Noisy Label Learning via Two-Stream Sample Distillation
Robust Noisy Label Learning via Two-Stream Sample Distillation
Sihan Bai
Sanpin Zhou
Zheng Qin
Le Wang
Nanning Zheng
NoLa
21
0
0
16 Apr 2024
LAFS: Landmark-based Facial Self-supervised Learning for Face
  Recognition
LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
Zhonglin Sun
Chen Feng
Ioannis Patras
Georgios Tzimiropoulos
CVBM
SSL
25
3
0
13 Mar 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
SURE: SUrvey REcipes for building reliable and robust deep networks
Yuting Li
Yingyi Chen
Xuanlong Yu
Dexiong Chen
Xi Shen
UQCV
OOD
26
4
0
01 Mar 2024
CSGNN: Conquering Noisy Node labels via Dynamic Class-wise Selection
Yifan Li
Zhen Tan
Kai Shu
Zongsheng Cao
Yu Kong
Huan Liu
9
1
0
20 Nov 2023
Omnipotent Adversarial Training in the Wild
Omnipotent Adversarial Training in the Wild
Guanlin Li
Kangjie Chen
Yuan Xu
Han Qiu
Tianwei Zhang
4
0
0
14 Jul 2023
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source
  Knowledge Integration
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration
Siqi Wang
Bryan A. Plummer
13
1
0
20 Jun 2023
Instance-dependent Noisy-label Learning with Graphical Model Based
  Noise-rate Estimation
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
20
1
0
31 May 2023
MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset
MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset
Chen Feng
Ioannis Patras
20
9
0
22 Mar 2023
PASS: Peer-Agreement based Sample Selection for training with Noisy
  Labels
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
17
2
0
20 Mar 2023
1