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Robust Learning from Untrusted Sources

Robust Learning from Untrusted Sources

29 January 2019
Nikola Konstantinov
Christoph H. Lampert
    FedML
    OOD
ArXivPDFHTML

Papers citing "Robust Learning from Untrusted Sources"

13 / 13 papers shown
Title
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
Yiyuan Yang
Guodong Long
Dinesh Manocha
Qinghua Lu
Shanshan Ye
Jing Jiang
OODD
249
1
0
02 May 2025
Distributed Personalized Empirical Risk Minimization
Distributed Personalized Empirical Risk Minimization
Yuyang Deng
Mohammad Mahdi Kamani
Pouria Mahdavinia
M. Mahdavi
31
4
0
26 Oct 2023
Centrality and Consistency: Two-Stage Clean Samples Identification for
  Learning with Instance-Dependent Noisy Labels
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels
Ganlong Zhao
Guanbin Li
Yipeng Qin
Feng Liu
Yizhou Yu
NoLa
33
22
0
29 Jul 2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer
Yingyi Chen
Xiaoke Shen
Yahui Liu
Qinghua Tao
Johan A. K. Suykens
AAML
ViT
36
22
0
25 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets
Yingsong Huang
Bing Bai
Shengwei Zhao
Kun Bai
Fei Wang
NoLa
36
44
0
12 Jul 2022
Gray Learning from Non-IID Data with Out-of-distribution Samples
Gray Learning from Non-IID Data with Out-of-distribution Samples
Zhilin Zhao
LongBing Cao
Changbao Wang
OOD
OODD
45
1
0
19 Jun 2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot
  Learning
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning
Mathias Lechner
Alexander Amini
Daniela Rus
T. Henzinger
AAML
34
10
0
15 Apr 2022
Auto-weighted Robust Federated Learning with Corrupted Data Sources
Auto-weighted Robust Federated Learning with Corrupted Data Sources
Shenghui Li
Edith C.H. Ngai
Fanghua Ye
Thiemo Voigt
FedML
27
28
0
14 Jan 2021
Active Learning for Noisy Data Streams Using Weak and Strong Labelers
Active Learning for Noisy Data Streams Using Weak and Strong Labelers
Taraneh Younesian
Dick H. J. Epema
L. Chen
23
11
0
27 Oct 2020
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data
Yishay Mansour
M. Mohri
Jae Hun Ro
A. Suresh
Ke Wu
54
28
0
19 Jul 2020
Multi-Task Federated Learning for Personalised Deep Neural Networks in
  Edge Computing
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing
Jed Mills
Jia Hu
Geyong Min
FedML
31
195
0
17 Jul 2020
A Principled Approach for Learning Task Similarity in Multitask Learning
A Principled Approach for Learning Task Similarity in Multitask Learning
Changjian Shui
Mahdieh Abbasi
Louis-Émile Robitaille
Boyu Wang
Christian Gagné
29
56
0
21 Mar 2019
New Analysis and Algorithm for Learning with Drifting Distributions
New Analysis and Algorithm for Learning with Drifting Distributions
M. Mohri
Andrés Munoz Medina
97
124
0
19 May 2012
1